National Center for Transportation and Industrial Productivity

Transcription

1 National Center for Transportation and Industrial Productivity To: Camille Crichton-Sumners Title: NCTIP Quarterly Reports Time Period: Second Quarter, 28 Date Submitted: June 17, 28 National Center for Transportation and Industrial Productivity New Jersey Institute of Technology University Heights Newark, NJ 712 Phone: (973) Fax: (973)

2 Table of Contents 1. Development of New Jersey Rates for NJCMS Incident Delay Model 1 2. Variability of Travel Times on New Jersey Highways 4 3. Stability and Accuracy of HCM Level of Service in Darkness and Adverse Weather 6 4. Implementation of Maintenance Decision Support System in New Jersey 9. Culvert Information Management System Non-Contact Skid Resistance Measurement 1 7. Development of Weekend Travel Demand and Mode Split Models Hudson-Bergen Light Rail Customer Impact and Retention Study Development of Simulation and Prototype Data Warehouse Models for Evaluating ITS Projects Customer Behavior Relative to Gap Between Platform and Train 24 i

3 Project Title: Development of New Jersey Rates for NJCMS Incident Delay Model RFP Number: 2-2 Task Order Number/Study Number: TO-66 Project Starting Date: 1/1/26 Original Project Ending Date: 12/31/26 Modified Completion Date: 9/3/27 NJDOT Research Project Manager: Robert Sasor Principal Investigator: Chien, Steven I-Jy Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task Literature Search Review the Current Practice of NJCMS Comprehensive Literature Search Technology Transfer Develop NJCMS Incident Database Development of Robust Models for Incident Rates and Durations Develop a Procedure to Maintain the Database Determine Reasonably Accurate Incident Rates and Duration Estimates Feasibility and Cost/Benefit Analysis Final Report % of Total % of Task this quarter % of Task to date % of Total Complete TOTAL 1 % 1. % Project Objectives: - Determine if and how existing incident reports and databases can be used to generate good, New Jersey specific estimates of incident rates, response times, and clearance times for both peak and off-peak periods. - Determine if new data in the form of actual field observations of incidents (from the beginning to the end of an incident) will be reasonable and useful to supplement and tie together the existing data. - Develop an up-to-date incident database to store the information required and generate reasonably accurate estimates of inputs required by the NJCMS model. - Conduct a cost and benefit analysis of various methods and technologies to collect continuous incident related data for the database developed in this project. Page 1 of 26

4 Project Abstract: The Congestion Management System used by the New Jersey Department of Transportation (NJCMS) contains a model that estimates the non-recurring delay that occurs from incidents on highways. The NJCMS model uses rates for incident types that were determined from national studies. To make better predictions of non-recurring delay for New Jersey highways, NJ specific rates are needed. These incident rates should be developed for the nine categories of incidents for peak and off-peak periods (fatal, personal injury, property damage, mechanical/electrical, stall, flat tire, abandoned, debris, other). In addition, percent blockage of lanes and shoulders, percent capacity remaining, response time, and clearance times need to be determined for incidents. While various incident reports exist such as police reports, and various Traffic Operations reports, they do not provide data for the NJCMS model. A feasibility study is required to determine if and how police reports, Traffic Operations databases, Emergency Service Patrol records, and other existing incident data can be utilized to provide estimates of the input parameters needed for the NJCMS non-recurring delay model. This study would decide if new data in the form of actual field observations of incidents (from beginning to end) would be reasonable and useful to supplement and tie together the existing data. If so, the feasibility and cost effectiveness of various methods and technologies to collect this continuous incident observation data would be examined. 1.Progress this quarter by task: - Revised final report based on review comments - Submitted final report 2. Proposed activities for next quarter by task: 3. List of deliverables provided in this quarter by task (product date): - Revised accident rates tables. - Revides incident rates tables based on the data collected on routes with ESP services. - presentation of calculation of accident and incident rates. - presentation of clearance and response times calculation. - final report 4. Progress on implementation and training activities: None.. Problems/proposed solutions: None. 6. Budget summary: Page 2 of 26

5 Total Project Budget NJDOT Bureau of Research $198,993. Modified Contract Amount $. Total Project Expenditure to date $197,73. % of Total Project Budget Expended 99.37% Page 3 of 26

6 Project Title: Variability of Travel Times on New Jersey Highways RFP Number: 2-14 Task Order Number/Study Number: TO-67 Project Starting Date: 12/1/26 Original Project Ending Date: /31/28 Modified Completion Date: 2/28/29 NJDOT Research Project Manager: Robert Sasor, NJDOT Principal Investigator: Chien, Steven I-Jy Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task Literature Search Comprehensive and Focused Literature Review Identify Suitable Technologies and Methodologies Data Collection Travel Time Estimation Average Daily Non-recurrent Delay Estimation Identification of Congested Highways with High Variation Final Report % of Total % of Task this quarter % of Task to date % of Total Complete TOTAL 1 % 68. % Project Objectives: (1)To measure travel times for repetitive day-to-day trips in the AM peak period on 1-2 congested New Jersey highways. (2)To study the variability of travel times on these highways and determine good estimates of non-recurring delay from incidents and other sources. (3)To identify which of these highways have problems with high variability in day-to-day travel times to work. Project Abstract: One of the most significant concerns for drivers going to work is the variability and reliability of their travel time. Travel time loss from unexpected delays results in lost time from work. Frequent but irregular delays make it difficult for drivers to plan when to leave for work. The reliability of travel times is being used as a new performance measure to evaluate traffic congestion and measure non-recurring delay. Reliability of travel times can be measured by the statistical variation and by the percent of time above a given threshold of what is considered normal delay time. Average daily non-recurring delay can be estimated by multiplying VMT from the Page 4 of 26

7 6. Budget summary: Total Project Budget NJDOT Bureau of Research NJCMS by the average time above the threshold time for the sections traveled. The variability of travel times probably has a greater effect on travel than the average or typical travel time. The variability of travel times needs to be studied for some of New Jersey's congested highways to obtain better estimates of non-recurring delay from incidents and other sources, and to identify problem highways with high variability in day-to-day travel times to work. The findings would guide NJDOT staff in making highway improvements and implementing strategies to reduce congestion and incident delay along these problem roads. 1.Progress this quarter by task: - NJIT tested computer program and starts to process the collected travel time data - RU finished 7 route (all) data collection - NJIT/RU started processing and analyzing collected data - NJDOT volunteers collected data on Rt Proposed activities for next quarter by task: - NJIT/RU continue to process and analyze collected data - Identify travel time variation on the studied routes - Analyze TRANSMIT data - collect ALK historic data 3. List of deliverables provided in this quarter by task (product date): none yet 4. Progress on implementation and training activities: none yet. Problems/proposed solutions: none yet $299,76. Modified Contract Amount $. Total Project Expenditure to date $19, % of Total Project Budget Expended 36.9% Page of 26

8 Project Title: Stability and Accuracy of HCM LOS in Darkness and Adverse Weather RFP Number: Task Order Number/Study Number: TO-64 Project Starting Date: 1/1/26 Original Project Ending Date: 12/31/27 Modified Completion Date: 9/3/28 NJDOT Research Project Manager: Vincent Nichnadowicz Principal Investigator: Chien, Steven I-Jy Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task Literature Search Literature Review Study the accuracy of the current Highway Capacity Manual Develop and test alternative methods and procedures for field data collection Perform the approved methods and procedures for estimating travel times Enhance HCM on estimating LOS s in darkness and adverse weather Improving transit schedule adherence through recommended methods Final Report % of Total % of Task this quarter % of Task to date % of Total Complete TOTAL 1 % 96. % Project Objectives: (1)Understand the accuracy of the derived current Highway Capacity Manual Levels of Service for a variety of roadways and investigate their sensitivity to the variables that determine them. (2)Determine how adverse weather and conditions of darkness and sun glare impact the capacity and level of service of state highways and the frequency of these occurrences. (3)Determine capacity levels at which traffic flows become unstable and measure the relationship between capacity and travel time variation that impact bus on time performance. (4)Recommend areas where the design of highway improvements, highway maintenance operations and traffic operations can be modified and/or improved, especially to aid in maintaining reliable bus schedules and reduce bus schedule conflicts. Page 6 of 26

9 Project Abstract: Currently, Highway Capacity Manual (HCM) levels of service (LOS's) are used to estimate the expected free flow traffic conditions on roadways. To operate reliably at a speed of mph, for example, the maximum flow of passenger cars is set by the HCM at 22 per hour per lane. This equates to an average interval between cars of 1.6 seconds. Drivers are taught, however, to increase their intervals when driving in darkness and/or precipitation. In addition, some of our most heavily congested roads run east and west, and drivers can experience significant sun glare in morning and evening peak hours. Since much commuting occurs in hours of dawn/sunset/darkness and/or adverse weather, using current HCM LOS's will overstate the actual capacity that can be reliably achieved on New Jersey roads. This research can help in designing highway improvements. It will provide better predictions of traffic capacity and LOS and more reliable travel times for buses, which will aid in reducing congestion by making transit a more attractive alternative. There is a need to determine the capacity of per lane per hour of free flow traffic conditions on roadways under different lighting and different environmental conditions - dawn, sunset, darkness, rain (various rates), snow (wet road surface, accumulating on the surface, plowed, salted, icy spots, etc.). First one needs to understand the accuracy of the derived current Highway Capacity Manual Level of Service and to determine a set of Levels of Service that accurately predict capacity for the adverse weather driving conditions. This information is especially needed by NJ Transit to predict reliable bus running times to maintain and attract ridership. 1.Progress this quarter by task: - Calculated and compared traffic related estimates (speed, flow, density, headway) under normal and adverse weather conditions (normal, rain, snow, darkness, sunglare) for all studied site - Estimated the impact of adverse weather on NJ Transit bus operation 2. Proposed activities for next quarter by task: - Prepare draft final report 3. List of deliverables provided in this quarter by task (product date): - Literature Review Report Page 7 of 26

10 6. Budget summary: Total Project Budget NJDOT Bureau of Research - Presentations of data collection results - Presentation of analyzed results based on collected data 4. Progress on implementation and training activities: - submit a technical paper to TRB annual meeting. Problems/proposed solutions: none $3,863. Modified Contract Amount $. Total Project Expenditure to date $296, % of Total Project Budget Expended 96.93% Page 8 of 26

11 Project Title: Implementation of Maintenance Decision Support System in New Jersey RFP Number: NJDOT 27-9 Task Order Number/Study Number: TO-7 Project Starting Date: 7/23/27 Original Project Ending Date: 7/31/29 Modified Completion Date: NJDOT Research Project Manager: Robert Sasor Principal Investigator: Chien, Steven I-Jy Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task % of Total Budget Total Budget % of Task this quarter Cost this quarter % of Task to date Cost To Date Conduct a literature search of state-of-practice Conduct a Comprehensive and Focused Literature Review. Study the prototype of MDSS Technology Transfer Identify Studied Region and Investigate Existing Data Sources Study MDSS Forms for Database Development Data Collection Develop NJ-MDSS Presentation, Implementation, and Training Final Report $9, $18, $4, $4, $4, $ 1 $9, $ 1 $18, 2 $13, 6 $32,4 2 $11,2 4 $2,2 2 $1,8 38 $2, $24, $4, $6, $8, 9 $2,16 $ $ $ 17 $4,8 $ $ $ 8.77 $3, $ $ TOTAL 1 % $342, $37,71 $14,2 Project Objectives: The objectives to developing a New Jersey specific MDSS database are to: - Utilize and maximize the existing roadway, surface and weather forecasting data resources; - Identify weaknesses and bolster or improve the accuracy and speed (realtime) of information gathering and dissemination; - Combine data to create an open, integrated and understandable presentation of current environmental, atmospheric and roadway conditions; - Process and query data to generate diagnostic and prognostic GIS mapping of road conditions along identified corridors; - Predict future changes in roadway conditions to aid in resource management; - Notify NJDOT of up-to-the-minute conditions and suggest optimal maintenance treatments for future changes in conditions; - Interface with neighboring state MDSS (optional); - Evaluate reliability of predictions and effectiveness of applied treatments Page 9 of 26

12 for specific road or weather conditions; and - Provide year-end reports to include equipment, manpower, and resource usage, etc. Project Abstract: Managing winter maintenance activities is a fairly complex endeavor. Maintenance supervisors must know the regulations about chemical applications and environmental impacts and be able to analyze and make sense of multiple and often contradictory weather forecasts. In addition, many maintenance supervisors also are faced with tight budgets. This is further complicated by the need to obtain salting and plowing services from outside contractors. All of these factors challenge public agencies to meet the traveling public s high expectation that roads be kept free of snow and ice. Therefore, it is desirable that today s maintenance supervisors have the ability to efficiently handle multiple tasks and process high volumes of information in adverse winter weather conditions. The research team is proposing a pilot study in developing and implementing NJ- MDSS for NJDOT, within which state-of-the-art weather forecasting and data fusion techniques will merge with computerized winter road maintenance rules of practice, such that consolidated weather forecasting, specific current and future roadway and bridge deck condition information, and treatments and timeline applications can be well taken. Optimally, the proposed NJ-MDSS will allow NJDOT to make informed decisions based on accurate information, mainly collected by state-funded surface transportation related sensors (e.g., Clarus (RWIS)), which will ultimately lead to a higher level of service and reduced weather-related congestion delay and accidents, as well as reduced redundancy and environmental/ecological impacts; more efficient use of manpower, contractor services, fleet and asset management; and increased accountability resulting in more prudent and efficient spending. The outcome of the proposed NJ-MDSS will be a set of guidelines aimed at maintenance supervisors that provides a precise forecast of surface conditions and treatment recommendations customized for selected roadways in New Jersey. With the developing weather conditions and the availability of chemicals and manpower/vehicles NJ-MDSS would issue tickets with location information (road and mile post) for winter treatment. The long-term objective would be to fully automate the system after several trials over a couple of years. 1.Progress this quarter by task: - continuously test MDSS v - Preparing/Acquiring weather data from NOAA through MIDAS - purchased computer equipment/server for the prototype MDSS Page 1 of 26

13 2. Proposed activities for next quarter by task: - attend Clarus & MDSS stakeholder meeting 8/4~8/9 - collect weather data from NOAA through MIDAS - Design database for data files used in MDSS - Develop program to input configuration information to database and generate configuration files - Collect road pavement information and weather station location information - Convert NJWxnet data into netcdf format - Investigate data transfer protocol between Rutgers U. and NJIT 3. List of deliverables provided in this quarter by task (product date): none yet 4. Progress on implementation and training activities: none yet. Problems/proposed solutions: none 6. Budget summary: Total Project Budget Modified Contract Amount Funding Award to Date Total Project Expenditure to date % of Total Project Budget Expended % of Total Project Completed $342, $. $18, $14, % 3.48 % NJDOT Research Project Manager Concurrence: Date: Page 11 of 26

14 Project Title: Culvert Information Management System RFP Number: 2 17 Task Order Number/Study Number: TO-68 Project Starting Date: 1/1/27 Original Project Ending Date: 6/3/28 Modified Completion Date: NJDOT Research Project Manager: Mr. Robert Sasor Principal Investigator: Meegoda, Jay N. / Tang, Chi Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Phase I Literature Search Phase II Task 1 Enhance the Existing NJDOT Culvert Information Database Phase II Task 2 Computerize Guidelines, Condition State Assessment, and Decision Making Tools Phase II Task 3 Perform Financial/Budget Analysis Phase II Task 4 Develop a Pilot Scale Culvert Information Management System Phase II Task Train NJDOT Maintenance Staff Final Report Task % of Total % of Task this quarter % of Task to date % of Total Complete TOTAL 1 % 79.9 % Project Objectives: (1)To demonstrate an effective culvert information management system by conducting a pilot study for several different types of culvert pipes, in different regions of the state, different condition states, and different soils, etc. (2)To computerize, as much as possible, guidelines for inspection and cleaning, condition state assessment, remaining service life prediction, identifying critical pipe sections, repair/replace decision making tools, and financial decision making at the network and project level. (3)To predict the remaining service life and the current value of culverts at project and network levels by developing survival probabilities for various condition states from historical data or laboratory tests that mimic field conditions. Page 12 of 26

15 (4)To determine the most effective allocation of NJDOT funds for culvert cleaning, repair and replacement at project and network levels, and determine yearly funds needed to maintain or improve the network level value of the culvert system ()To perform financial/budget analysis for a small network of pipes for different goals such as least annual cost, best long term savings, lowest risk, etc. and recommend which is the best goal to use for particular cases. Project Abstract: The overall objective of the research is to develop a pilot scale Culvert Information Management System (CIMS) that will comply with both requirements stipulated by the Governmental Accounting Standards Board (GASB-34) and the new federal storm water regulations. The CIMS will serve as a vehicle for evaluating underground infrastructure assets, specifically culverts and facilitate computing present worth and comparing present costs of preserving them. Benefits of the CIMS will include long-term savings that should accrue from adopting optimized preventive maintenance strategies. The CIMS will consist of three major computer software components: databases, user interfaces, and a data administration module. Secondary components include an inlet/outlet structures module and a culvert segments module. The inlet/outlet structures module will store all the storm water data such as the quality/quantity of water and the receiving and discharge watersheds. Users will be able to retrieve culvert and inlet/outlet information and generate reports via location and road/milepost for condition state and assets needing immediate repair. 1.Progress this quarter by task: The progress of the project to date is approximately 8% Phase I-Literature Search and Review completed and report submitted Phase II- Task 1 Enhance the Existing NJDOT Culvert Information Database completed, system installed in 7 computers, and training provided. Phase II-Task 2 Computerize Guidelines, Condition State Assessment, and Decision Making Tools completed and report issued Phase II Task 3 Perform Financial/Budget Analysis completed Phase II Task 4 Develop a pilot scale culvert information management system (CIMS)completed Phase II Task Train NJDOT staff in the use of the pilot CIMS in the form of hands on workshops approximately 1% completed. 2. Proposed activities for next quarter by task: The following Tasks will be attempted Phase II Task Train NJDOT staff in the use of the pilot CIMS in the form of hands on workshops. Phase II Task 6 Prepare final report Page 13 of 26

16 6. Budget summary: Total Project Budget NJDOT Bureau of Research 3. List of deliverables provided in this quarter by task (product date): None 4. Progress on implementation and training activities: None.. Problems/proposed solutions: None. $9,. Modified Contract Amount $. Total Project Expenditure to date $86,22.1 % of Total Project Budget Expended 9.78% Page 14 of 26

17 Project Title: Non-Contact Skid Resistance Measurement RFP Number: 2-8 Task Order Number/Study Number: TO-8 Project Starting Date: 1/1/28 Original Project Ending Date: 12/31/29 Modified Completion Date: NJDOT Research Project Manager: Vincent Nichnadowicz Principal Investigator: Meegoda, Jay N. Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task % of Total Budget Total Budget % of Task this quarter Cost this quarter % of Task to date Cost To Date Literature Search and Review Selection of a Non Contact Method to measure Surface Field Evaluation of Surface Texture Correlate surface texture from non laser with traditional methods Develop the standard Materials Procedure (MP) Integration of Texture Data into Pavement Management System Quarterly Progress and Final Reports $14,323 $126,48 $21,48 $3,88 $14,323 $21,48 $14,323 2 $2,86 1 $14,323 1 $126,48 1 $126,48 $ $ $ $ $ $ $ $ $ $ TOTAL 1% $248,23 $129,349 $14,88 Project Objectives: The objectives of this study are: 1 Develop a vehicle-mounted screening device to measure variations in pavement texture using a non-contact high-speed method. 2 Correlate that with CT Meter test procedure presented in ASTM E217 to validate macro-texture measurements. 3 Recommend development of NJDOT specification for implementation of the surface texture measurement methods. Project Abstract: Pavement texture is the controlling factor in the skid-resistance level of roadway surfaces. Through a complex interaction of micro and macro textures at the pavement-tire interface, sufficient friction is needed for vehicles to perform routine maneuvers under normal operating conditions. To obtain more complete data on texture, a non-contact high-speed method was developed to permit the collection of pavement data from a vehicle moving at highway speeds. This method can be correlated with CT Meter test procedure presented Page 1 of 26

18 6. Budget summary: Total Project Budget Modified Contract Amount Funding Award to Date Total Project Expenditure to date % of Total Project Budget Expended % of Total Project Completed NJDOT Bureau of Research in ASTM E217 to validate macro-texture measurements. These methods combine existing designs for the measurement of macro-texture. This research will develop a correlation of macro-texture measurements with skid resistance values to allow the Department to estimate skid values of the pavement network while collecting pavement ride quality data for the PMS with one piece of equipment on an annual basis. This will significantly reduce the need for the ASTM E 274 skid resistance trailer to collect the skid resistance data. The screening of the state s pavement network would allow detailed measurement of the pavement-tire interface with ASTM E 274 skid resistance trailer. 1.Progress this quarter by task: The progress of the project to date is approximately 2% Phase I-Literature Search and Review completed and submitted a report Phase II Task 1 - Selection of a Non Contact Method to measure Surface completed and ordered all equipment 2. Proposed activities for next quarter by task: Phase II Task 2 - Field Evaluation of Surface Texture from a Non Contact Method 3. List of deliverables provided in this quarter by task (product date): None 4. Progress on implementation and training activities: None. Problems/proposed solutions: None $248,23 $. $17,38 $14, % 2. % NJDOT Research Project Manager Concurrence: Date: Page 16 of 26

19 Project Title: Development of Weekend Travel Demand and Mode Split Models RFP Number: 26-8 Task Order Number/Study Number: TO-63 Project Starting Date: 1/1/26 Original Project Ending Date: 12/31/27 Modified Completion Date: 12/31/28 NJDOT Research Project Manager: Edward S. Kondrath Principal Investigator: Liu, Rachel Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task Literature Review Evaluate Existing Models in New Jersey Survey State of Practice Outside of New Jersey Prepare Interim Report Develop Model Specifications Demonstrate a Model Calibration Monitor and Document Develop Data Calibrate Model Develop Platform Model % of Total % of Task this quarter Validate Model Final Report 1 % of Task to date % of Total Complete TOTAL 1 % 46. % Project Objectives: The purpose of this research is to specify an ultimate model that can be used to forecast weekend travel that incorporates the following processes: trip generation by trip type, time of day, origin-destination pattern, and mode choice. To derive the ultimate product of this project, the research team will undertake the following: 1.Examine the state of the art in model development for non-work, offpeak, and weekend travel; 2.Evaluate alternative multi-modal modeling approaches, explicitly considering the impacts of various factors such as congestion on mode shifts; 3.Research and evaluate available models and travel survey data at NJDOT, NJ TRANSIT and the local MPOs; Page 17 of 26

20 6. Budget summary: Total Project Budget NJDOT Bureau of Research 4.Identify data deficiencies and statistical validity of alternative approaches;.develop requirements and standards for incorporating changes to accommodate weekend travel into existing model frameworks; 6.Recommend a course for the development of multi-modal weekend travel demand forecasting models suited to the needs of New Jersey; 7.Develop and calibrate new models, if permitted by available data, for incorporation into existing MPO, NJDOT and NJ TRANSIT model frameworks. Project Abstract: 1.Progress this quarter by task: As Planned 2. Proposed activities for next quarter by task: Review travel demand models in NJ Survey state of practice 3. List of deliverables provided in this quarter by task (product date): The deliverables to be developed as a part of the proposed research include the following items: -Technical Memorandum for literature review; -Technical Memorandum for evaluating existing models in New Jersey; -Technical Memorandum for survey of state of practice; -Interim Report; -Technical Memorandum for model specifications; -Technical Memorandum for model calibrations; -Quarterly Progress Reports; -Final Report. 4. Progress on implementation and training activities:. Problems/proposed solutions: $24,621. Modified Contract Amount $34,68. Total Project Expenditure to date $191,6.63 % of Total Project Budget Expended 4.3% Page 18 of 26

21 Project Title: Hudson Bergen Light Rail Customer Impact and Retention Study RFP Number: 27-2 Task Order Number/Study Number: TO-79 Project Starting Date: 12/1/27 Original Project Ending Date: 3/1/29 Modified Completion Date: NJDOT Research Project Manager: Vincent Nichnadowicz Principal Investigator: Liu, Rachel Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task % of Total Budget Total Budget % of Task this quarter Cost this quarter % of Task to date Cost To Date New Platform Survey Identify Travel Behavior changes Estimate ridership Impact Provide data set to NJ Transit Draft Final Report Final Report $73,2 $21,6 $29, $,78 $16,8 $8,9 1 $1,98 $36,6 $ $ $ $ $ $ $ $ $ $ TOTAL 1% $1,28 $1,98 $36,6 Project Objectives: 1.Conduct and analyze a new platform survey along the northern segment of Hudson Bergen LRT. 2.Identify and understand travel pattern shifts, including auto diversions, induced ridership and time saving benefits, due to the extension of the Hudson Bergen LRT services. 3.Estimate the impact on retaining existing riders and integrated bus and light rail services. 4.Measure the success of the Hudson Bergen Light Rail in meeting its major objectives..provide data to support Hudson Bergen Light Rail business planning activities and marketing programs. 6.Identify residential location impacts of the extension in terms of households moving to station areas. Project Abstract: 1.Progress this quarter by task: Started 2. Proposed activities for next quarter by task: Design survey instrument Page 19 of 26

22 3. List of deliverables provided in this quarter by task (product date): 4. Progress on implementation and training activities:. Problems/proposed solutions: None 6. Budget summary: Total Project Budget Modified Contract Amount Funding Award to Date Total Project Expenditure to date % of Total Project Budget Expended % of Total Project Completed $1,28 $. $96,83 $36, % 23.7 % NJDOT Research Project Manager Concurrence: Date: Page 2 of 26

23 Project Title: RFP Number: Special Project 23 Task Order Number/Study Number: TO-8 NJDOT Bureau of Research Development of Simulation and Prototype Data Warehouse Model for Evaluating ITS Projects NJDOT Research Project Manager: Project Starting Date: 1/1/2 Original Project Ending Date: 12/31/2 Modified Completion Date: 9/3/28 Camille Crichton-Sumners Principal Investigator: Chien, Steven I-Jy Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task Task 1: Detailed Literature Review Task 2: Developing Simulation Model for the Studied Network Task 3: Design of Prototype Data Warehouse Task 4: Evaluation of Selected ITS Strategies Task Final Report Task 6 Extended Simulation Network % of Total % of Task this quarter % of Task to date % of Total Complete TOTAL 1 % 89. % Project Objectives: (1) Develop a microscopic traffic simulation model to evaluate the impact of potential ITS strategies for the studied network, and (2) Design a prototype data warehouse model as a reliable data center for storing, processing, and analyzing transportation related data. Project Abstract: A traffic micro-simulation model will be developed to evaluate the anticipated traffic congestion due to upcoming construction in the area of NJ Route 139 and the impact of the construction on the Portway's Northern Extension. The boundaries for the network are to be determined, but may be roughly bounded by the following highways: -NJ Route 3 to the north -NJ Route 21 to the west -NJ Turnpike Interchange 14 with US Routes 1&9 to the south -NJ 44 and US 1 & 9 to the east This network will be finely defined within the boundaries of the analysis area, but would only include the major routes and arterials outside of the analysis area. The simulation model will be set up in way as to allow for Page 21 of 26

24 1.Progress this quarter by task: - No-cost extension request approved NJDOT Bureau of Research future expansion, should further analysis be required on the outlining areas, such as the interchange between US 1&9 and NJ 3. As part of this proposal NJIT will work with the NJDOT as well as the area ITS Stakeholders group to test various traffic mitigation scenarios utilizing ITS simulated tools. The scenarios are: Traffic Signal Improvements, Promotion of Car/Van-pooling, Optimal Diversion of travelers to NJ Transit Hudson-Bergen Light Rail, PANYNJ's Path and NY Waterway and Yellow Taxi Ferry Systems, Variable Message Signs (to be used with Advanced Traffic Management Systems and Advanced Traveler Information Systems), Contra-flow lanes, etc. The use of TRANSMIT readers for traffic data is proposed.the NJIT team would co-ordinate with the NJDOT task member to select the different scenarios to be analyzed. Coordination meetings are proposed. The scenarios will be displayed as video clips suitable to be incorporated into PowerPoint presentations via AVI files. The proposed work will be done in two phases. Phase I, encompassing Tasks 1 and 2, involves the NJ 139 simulation and will be done within the first four months from the date of award. Phase II, encompassing Tasks 3-, will be completed in months to 12 from the commencement of the project. Original Network Scope (RT 139): -A presentation describing the use of visualization in the analysis of alternatives was prepared and delivered at the 28 TransActions conference in April in Atlantic City. -Draft reports summarizing the work completed under this task are being prepared. Extended Network Scope (Additional Task): -The seven existing networks (from previous projects) that cover the extended network scope were merged into one single network. -The missing areas between the individual networks were coded to provide coverage for the entire extended network scope. -Collector and local roadways in the network were eliminated to allow focus on the freeway and arterials in the extended network. -Traffic counts were collected from existing data sources to help construct an Origin-Destination table for simulation. -The latest NJTPA travel demand model (NJRTME) was obtained to allow a basis for weekday peak period trip tables. Page 22 of 26

25 6. Budget summary: Total Project Budget NJDOT Bureau of Research 2. Proposed activities for next quarter by task: - Continuously develop extended simulation network - Technical meeting for discussing extended work 3. List of deliverables provided in this quarter by task (product date): Presentation of developed simulation network and simulation of tested scenarios 4. Progress on implementation and training activities: None. Problems/proposed solutions: None $16,21. Modified Contract Amount $199,1. Total Project Expenditure to date $181,64.1 % of Total Project Budget Expended 91.23% Page 23 of 26

26 Project Title: Customer Behavior Relative to Gap Between Platform and Train RFP Number: Task Order Number/Study Number: TO-81 Project Starting Date: 1/1/28 Original Project Ending Date: 3/31/29 Modified Completion Date: NJDOT Research Project Manager: Vincent Nichnadowicz, NJDOT Project Manager Principal Investigator: Daniel, Janice R. Period Starting Date: 4/1/28 Period Ending Date: 6/3/28 Task % of Total Budget Total Budget % of Task this quarter Cost this quarter % of Task to date Cost To Date Develop research exit criteria Literature search Gather data and perform analysis Observe passengers Examine state of practice Make recommendations Prepare Quarterly Reports, a Tech Brief and a Final Report $271 $9,41 $36,163 $36,163 $8,769 $22,62 $22,62 $ 1 $ $ $4, $11, $12,83 $ $ $ $ $ $ $ $ TOTAL 1 % $13,61 $12,61 $16,424 Project Objectives: The objectives of this research are: 1. Review the previous research and organize the information so the problem at NJT can be understood in context 2. Analyze accident data from NJT and compare it to other appropriate commuter rail properties 3. Observe customer behavior boarding and alighting trains and link behavior to risk of accidents 4. Identify approaches to mitigating accident risk using both soft approaches such as human factors, signage, and messages as well as hard approaches such as design issues. Make recommendations of appropriate factors to mitigate accidents in the context of implementation, cost and regulatory issues such as ADA. Page 24 of 26

27 Project Abstract: The purpose of this research is to gain understanding of the factors associated with risk of gap injury incidents and identify potential ways to mitigate this problem. The research will examine accident data and classify incidents in terms of passenger characteristics and physical structure characteristics. We will calculate passenger injury rates and provide a range of ways to mitigate the problem in the context of risk factors associated with gap accidents. 1.Progress this quarter by task: During the past quarter, the research team has started working on Task 3 of the research. Task 3 involves gathering gap accident data and performing analyses of NJ Transit data. The research team obtained gap and non-gap passenger injuries for January, 2 to April, 28. Each accident s data was inputted into an excel spreadsheet to allow for the accidents to be summarized and comparisons made. Comparisons were made between gap and non-gap injuries by month, time, day, age, gender and station. The stations with the high frequency of gap accidents were identified. At present, the researchers are in the process of obtaining passenger boarding and detraining data by station in an effort to calculate gap accident frequency rates by station. This analysis will enable the team to identify the stations that will be studied in Task 4, Observe passengers under varying conditions at stations with highest rates of accidents and lowest rates of accidents. The research team has also obtained data on existing gap sizes at NJ Transit s high level platforms. This data will be useful in identifying stations for performing the observational study. Still be obtained are gap accident data on a national scale. The research team is continuing to obtain contact information of individuals who will be able to provide this data. 2. Proposed activities for next quarter by task: During the next quarter we anticipate beginning Task 4, observe passengers under varying conditions at stations with highest rates of accidents and lowest rates of accidents. The observational study will be performed at stations identified through the gap accident analysis and through discussions with NJ Transit. In addition to gather accident data, Task 3 also involved gathering information using structured surveys. During the next quarter, the research team anticipates meeting with those at NJ Transit who will be able to facilitate performing the survey. The literature review, which was originally anticipated to be completed during this past quarter, will also be continued during the next quarter. 3. List of deliverables provided in this quarter by task (product date): 4. Progress on implementation and training activities: Page 2 of 26

28 . Problems/proposed solutions: 6. Budget summary: Total Project Budget Modified Contract Amount Funding Award to Date Total Project Expenditure to date % of Total Project Budget Expended % of Total Project Completed $13,61 $. $96,83 $16, % % NJDOT Research Project Manager Concurrence: Date: Page 26 of 26