Framework for Utilization of Mobile Data Collection. Parth Bhavsar (Rowan University) Nidhal Bouaynaya (Rowan University) Jeevanjot Singh (NJDOT)
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1 Framework for Utilization of Mobile Data Collection Parth Bhavsar (Rowan University) Nidhal Bouaynaya (Rowan University) Jeevanjot Singh (NJDOT)
2 Agenda Parth Bhavsar Problem statement & Background Overall concept System Architecture Nidhal Bouaynaya Rowan initiative Image processing algorithm Jeevanjot Singh Benefits Challenges Future
3 Question: Where are we? Connected Vehicles Semi-Autonomous Vehicles Autonomous Vehicles Connected-Automated Vehicles Flying cars? Connected Vehicle Projects bil.com/ Movie: 5 th Element
4 Automated Vehicle- Automation Levels 5 4 Full automation High automation Automated System monitors driving environment 4 3 Full self-driving automation Limited self-driving automation Conditional automation Partial automation Driver assistance Driver monitors driving environment 2 1 Combined function automation Function-specific automation 0 No automation 0 No automation SAE Level NHTSA Level 4 SAE J3016: NHTSA:
5 Data Dissemination: Conventional - Autonomous System Notification 5 Full automation 4 Full self-driving automation 4 High automation 3 Limited self-driving automation Conditional automation Partial automation Driver assistance No automation Combined function automation Function-specific automation No automation SAE Level Driver Notification NHTSA Level SAE J3016: NHTSA: 5
6 Challenges for DOTs Efficient transition from current transportation system to future connected-automated system Optimize existing resources Satisfy user requirements over time Continue maintaining infrastructure components Balance budget Existing Requirements Transition Future user requirements
7 State of the art Wyoming Department of Transportation (WYDOT) Road Condition Reporting Application for Weather Responsive Traffic Management Improve the efficiency of road condition reporting by maintenance staff. Improve the efficiency of the transportation Management Center (TMC) operations in responding to the reported road conditions. Improve the timeliness of updated traveler information. Improve the situational awareness of maintenance staff in the field regarding road weather conditions
8 State of the art Minnesota 80 snowplows with onboard sensors Type of material dispatched Location Route Nevada 40 vehicles in Reno-Carson city area with advanced sensors and equipment to enhance the maintenance management Michigan 60 fleet vehicles (20 snow plow trucks and 40 light- and mediumduty vehicles) Camera Image of road conditions location, time and direction Temperature, humidity dew point ABS, traction control, wheel speed
9 Problem Statement Develop a platform for user and location specific data collection Optimize existing resources Develop an affordable yet portable system SSP Vehicle Existing Vehicle Android UI Mobile & connected platform Prototype casing Portable Platform
10 Communication Platform Goal: Optimize the usage of existing vehicle fleet Collect data while performing routine tasks Develop a common communication platform to receive data from various sensors and send/disseminate data based on priority Develop portable data collection units Traffic data Pavement Data Weather Data
11 Communication Platform: Potential High resolution location specific data is the necessity for several connected vehicle applications. Connected Vehicle Reference Implementation Architecture (CVRIA) Type of Applications Environmental (22 applications) Mobility (36 applications) Safety (30 applications) Support (9 applications)
12 Communication Platform: Potential
13 Team NJDOT NJIT Rowan Smart Vehicle Research Group Rowan Graduate and Undergraduate students from CEE & ECE Clemson Graduate Student
14 Agenda Parth Bhavsar Problem statement & Background Overall concept System Architecture Nidhal Bouaynaya Pothole detection sensor Image processing algorithm Jeevanjot Singh Benefits Challenges Future
15 System Architecture TMC Subsystem Vehicle Subsystem Roadway Subsystem
16 Mobile data collection platform Communication Platform Mobile application based on the INFLO (Intelligent Network Flow Optimization) application (open source application available from USDOT/ITS JPO) Data Collection Units Pothole detection sensor Microsoft-Kinect to collect images Image processing algorithm to detect pothole Temperature and humidity sensor Infra Red Thermometer Sensor Arduino Bluetooth Transceiver
17 Current Status Pothole detection Vehicle Location Temperature and humidity sensor Server side user interface Android application Data collection
18 Prototype Evaluation Pothole detection Temperature and humidity sensor
19 Prototype Pavement conditions Location, Traffic & weather
20 Mobile data collection platform: Future recommendations Develop a comprehensive mobile data collection platform that can help NJDOT transition from current transportation system to a next generation connected & automated transportation system. Integrate other sensors as required Integrate DSRC protocols to disseminate data Develop plug and play functionality for future integration Support existing and future decision support system by providing high resolution location specific data
21 Agenda Parth Bhavsar Problem statement & Background Overall concept System Architecture Nidhal Bouaynaya Pothole detection sensor Image processing algorithm Jeevanjot Singh Benefits Challenges Future
22 System wide Benefits Location Specific HighRes Data Demand
23 System wide Benefits Location Specific HighRes Data Demand
24 Pavement condition assessment and management Current Practice Annual data collection (4600+ miles) High Speed Profiler Predict International Roughness Index (IRI) or Remaining service life. Future Significant increase in data collection frequency Utilize Safety Service Petrol (SSP) and other vehicles to collect pavement data Improve/Optimize pavement design, prioritize projects, & save $$$
25 Weather Responsive Traffic Management Current Practice Rich data collection units (camera, loop detectors, radar etc..) Majority of the data collection units are stationary units (i.e. road side units) Backbone for various traffic, incident and emergency management services Real-time traffic information dissemination
26 Future Weather Responsive Traffic Management Mobile data collection units Location specific data Connected yet affordable solution Improve overall location specific accuracy TSM&O for connected and automated vehicle fleet
27 System wide Benefits Location Specific HighRes Data Demand
28 System wide Benefits Location Specific HighRes Data Demand
29 Challenges
30 Challenges: Deployment Standards USDOT is working with public and private sector to define: Communications standards for DSRC Other media, e.g., 4G LTE and/or HD radio may be used for appropriate applications Information exchange standards: Message sets for V2X [SAE J2735] Minimum performance requirements for V2X messaging [SAE J2945.x] Certification to ensure off-the-shelf interoperability of devices
31 Challenges: Funding At present USDOT is promoting pilot deployment program through research funding However, in future the responsible city, county and state governments will pay for implementation and maintenance. They have to Identify resources to fund new CVT based projects Maintain existing infrastructure Bear additional burden of maintaining and upgrading the new CVT implementation Identify innovative ways to generate additional revenues
32 Challenges: Operations The federal, state and local governments will have to Develop standard procedures to implement, maintain and operate CVTs. Employ skilled personnel Provide training to existing employees
33 Challenges: Privacy & Security This hacked traffic sign on Jersey Shore route may make you stop 2016 October: DDoS attack crippled east coast web 2015: Hackers Remotely Kill a Jeep on the Highway 2016: Keen Security demonstrated that Tesla cars can be hacked into and controlled remotely. Source: Video Source: 2015 Jeep Hack Tesla Hack 36
34 Challenges: Privacy and Security Developing a general consensus of secure but connected & automated environment Safe, Secure, & Sustainable Transportation System of the future Users of the transportation systems Transportation Professionals Cybersecurity Professionals
35 Questions?
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