MOBILITY RESEARCH PROJECTS AT CENTER FOR ADVANCED MULTIMODAL MOBILITY SOLUTIONS AND EDUCATION (CAMMSE)

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1 MOBILITY RESEARCH PROJECTS AT CENTER FOR ADVANCED MULTIMODAL MOBILITY SOLUTIONS AND EDUCATION (CAMMSE) Wei (David) Fan, Ph.D., P.E. Director, USDOT CAMMSE Transportation Center Associate Professor, Department of Civil and Environmental Engineering of North Carolina at Charlotte Prepared for the First Annual National Mobility Summit of US DOT Transportation Centers April 12, 2018

2 Transportation Center, Ph.D., P.E., Director of CAMMSE Associate Professor, Department of Civil & Environmental Engineering Associate Editor, IEEE Transactions on Intelligent Transportation Systems Associate Editor, ASCE Journal of Transportation Engineering, Part A: Systems Associate Editor, International Journal of Transportation Science and Technology Member, ASCE Connected & Autonomous Vehicles Impacts, Technologies, Public Transport, and Rail Transportation Committees Member, NSF, NCHRP and TCRP Review Panels NCHRP Framework for CV Pilot and Smart Cities Data Analytics for Policy Guidance NCHRP Guidance for Planning and Implementing Multimodal, Integrated Corridor Management, August Present

3 Transportation Center CAMMSE, a Tier 1 UTC A consortium of five universities of North Carolina at Charlotte (Lead) of Texas at Austin of Connecticut Washington State Texas Southern

4 Transportation Center UNC Charlotte Funded Projects, of North Carolina at Charlotte of Texas at Austin of Connecticut Washington State Texas Southern Principle Investigator Randy Machemehl Randy Machemehl Nicholas Lownes Nicholas Lownes Xianming Shi Jia Yan Mehdi Azimi Yi Qi Yi Qi Category Basic Basic Title of the Funded Project Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data Improving the Movements of People and Freight: A Case Study of the Piedmont Atlantic Megaregion Forecasting Ridership for Commuter Rail in Austin Corridor Level Adaptive Signal Control Stochastic Multimodal Network Modeling Robust Routing, Assignment, and Simulation of Transit Systems The Use of Connected Vehicle Technology to Facilitate Multimodal Winter Travel The Effect of Competition of Transport Modes on Mobility Use of Vessel Automatic Information System Data to Improve Multi-modal Transportation in and around the Ports Use of Innovative Intersection Designs for Improving Mobility and Reducing Roadway Traffic Congestion

5 Transportation Center UNC Charlotte Funded Projects, of North Carolina at Charlotte of Texas at Austin Principle Investigator(s) Martin Kane Yu Wang Randy Machemehl Randy Machemehl Stephen Boyles Christian Claudel Category Title of the Funded Project Use of Multisensor Data in Modeling Freeway Travel Time Reliability Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity Evaluating the Potential Use of Crowdsourced Bicycle Data in North Carolina Impact of Connected and Automated Vehicles (CAVs) on Freeway Capacity Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment Characterization of Bicycle Rider Behavior among Various Street Environments Evolution of Transit Signal Priority with Gap-Based Signal Recovery Strategy Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles Deep-learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic

6 Transportation Center UNC Charlotte Funded Projects, Cont. of Connecticut Washington State Texas Southern Principle Investigator(s) Nicholas Lownes Charles Patton Kelly Bertolaccini Karthik Charan Konduri Norman Garrick Carol Atkinson Palombo Xianming Shi Xianming Shi Yi Qi Mehdi Azimi Qun Zhao Yi Qi Mehdi Azimi Qun Zhao Mehdi Azimi Yi Qi Qun Zhao Category Basic Title of the Funded Project Investigating the Linkage between Transit Access to Services and Affordable Housing Availability Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future What Do We Want from Autonomous Vehicles (AVs)? Using Participatory Planning and Scenario Analysis of Alternative Futures to Identify Stakeholders Desired Outcomes from the Strategic Deployment of Emerging Transportation Technology Developing Friction Data to Support the Optimal Use of Pre-wet Deicing Salt for Enhanced Winter Mobility Modeling the Macroscopic Effects of Winter Maintenance Operations on Traffic Mobility on Washington Highways Determination of Freeway Acceleration Lane Length for Smooth ad Safe Truck Merging Innovative Countermeasures for Reducing the Truck Waiting Time at Marine Terminals Investigating the Impact of Different Attributes on Bicycling Mode Share as A Multimodal Connectivity Strategy in Large Cities: A Case Study in Houston

7 Transportation Center Current (Year 1) UNCC (02/03/ /30/2018) Project 01. Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data Project 02. Improving the Movements of People and Freight: A Case Study of the Piedmont Atlantic Megaregion Current (Year 2) UNCC (10/01/ /30/2018) Project 01. Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment Project 02. Developing a Systematic Approach to Modeling Travel Time Reliability at the Arterial Level Project 03. Evaluating the Potential Use of Crowdsourced Bicycle Data in North Carolina Project 04. Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity Project 05. Impact of Connected and Automated Vehicles (CAV) on Freeway Capacity

8 Current CAVs Projects at UNC Charlotte Project 01. Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment P.I.: Wei (David) Fan Abstract: This project aims to systematically study the optimal variable speed limit control for the mixed traffic flows at the bottlenecks in a connected and autonomous vehicle environment. Several tasks will be conducted, including an extensive literature review on the development and implementation of the VSL control. Several multi-objective nonlinear integer models will be formulated for the VSL control for mixed traffic flows both under normal conditions and in a connected and autonomous vehicle environment. Discrete optimization based solution algorithms will be developed to solve these VSL models. Finally, the developed VSL algorithms will be implemented and evaluated by using a real world freeway corridor as a case study. Sensitivity analyses of the proposed VSL systems will be conducted, and comprehensive numerical results will also be presented.

9 Current CAVs Projects at UNC Charlotte Project 05. Impact of Connected and Automated Vehicles (CAV) on Freeway Capacity P.I.: Wei (David) Fan Abstract: As the CAVs start to penetrate into the market, the current HCM methods cannot be used to evaluate freeway capacity due to the fact that they did not account for the impacts of CAV strategies in the HCM. Several limitations of the current HCM include: 1) There is no guideline related to how current HCM methods should be adjusted in order to be suitable for use in conducting various types of analyses involving CAV strategies; 2) There is no consideration of the general impact of CAV technologies on traffic congestion and delay as well as safety in the HCM analysis; and 3) There is no information about the impact of different CAV penetration rates in the highway system on various facilities under different scenarios. In order to be better prepared for both CAV planning and operations under varying levels of market penetration and traffic demand, there is a critical need to develop and establish the HCM capacity adjustments. This research will develop guidelines and recommendations for estimating and predicting freeway capacity in the presence of CAVs, and therefore will lead to a better understanding of how CAV improves mobility on the freeway system.

10 Future CAVs Projects Institutional and Policy Public policy actions to facilitate implementation Infrastructure Design/Operations Quantitative tools for CV/AV impact assessment Active traffic management Big data management Planning Modeling effects of AV/CV on land use, vehicle ownership and travel demand