MOBILITY RESEARCH PROJECTS AT CENTER FOR ADVANCED MULTIMODAL MOBILITY

SOLUTIONS AND EDUCATION (CAMMSE)

Wei (David) Fan, Ph.D., P.E.Director, USDOT CAMMSE University Transportation Center

Associate Professor, Department of Civil and Environmental EngineeringUniversity of North Carolina at Charlotte

Prepared for the First Annual National Mobility Summit ofUS DOT University Transportation Centers

April 12, 2018

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation Center• Wei Fan, 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, Advanced Technologies, Public Transport, and Rail Transportation Committees

Member, NSF, NCHRP and TCRP Review Panels

NCHRP 08-116 Framework for CV Pilot and Smart Cities Data Analytics for Policy Guidance

NCHRP 03-131 Guidance for Planning and Implementing Multimodal, Integrated Corridor Management, August 2017 - Present

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation Center

• CAMMSE, a Tier 1 UTC

• A consortium of five universities

University of North Carolina at Charlotte (Lead)

University of Texas at Austin

University of Connecticut

Washington State University

Texas Southern University

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation Center

CAMMSE @ UNC Charlotte Funded Projects, 2016-2017 University Principle

Investigator Category Title of the Funded Project

University of North Carolina at Charlotte

Wei Fan Advanced Research

Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data

Wei Fan Applied Research

Improving the Movements of People and Freight: A Case Study of the Piedmont Atlantic Megaregion

University of Texas at Austin

Randy Machemehl Applied Research

Forecasting Ridership for Commuter Rail in Austin

Randy Machemehl Advanced Research

Corridor Level Adaptive Signal Control

University of Connecticut

Nicholas Lownes Basic Research

Stochastic Multimodal Network Modeling

Nicholas Lownes Basic Research

Robust Routing, Assignment, and Simulation of Transit Systems

Washington State University

Xianming Shi Applied Research

The Use of Connected Vehicle Technology to Facilitate Multimodal Winter Travel

Jia Yan Applied Research

The Effect of Competition of Transport Modes on Mobility

Texas Southern University

Mehdi Azimi Yi Qi

Applied Research

Use of Vessel Automatic Information System Data to Improve Multi-modal Transportation in and around the Ports

Yi Qi Applied Research

Use of Innovative Intersection Designs for Improving Mobility and Reducing Roadway Traffic Congestion

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation Center

CAMMSE @ UNC Charlotte Funded Projects, 2017-2018 University Principle

Investigator(s) Category Title of the Funded Project

University of North Carolina at Charlotte

Wei Fan

Applied Research

Use of Multisensor Data in Modeling Freeway Travel Time Reliability

Wei Fan Martin Kane

Applied Research

Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity

Wei Fan Yu Wang

Applied Research

Evaluating the Potential Use of Crowdsourced Bicycle Data in North Carolina

Wei Fan Applied Research

Impact of Connected and Automated Vehicles (CAVs) on Freeway Capacity

Wei Fan Advanced Research

Optimal Variable Speed Limit Control for the Mixed Traffic Flows in a Connected and Autonomous Vehicle Environment

University of Texas at Austin

Randy Machemehl Applied Research

Characterization of Bicycle Rider Behavior among Various Street Environments

Randy Machemehl Advanced Research

Evolution of Advanced Transit Signal Priority with Gap-Based Signal Recovery Strategy

Stephen Boyles Applied Research

Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles

Christian Claudel Advanced Research

Deep-learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation CenterCAMMSE @ UNC Charlotte Funded Projects, 2017-2018 – Cont. University Principle

Investigator(s) Category Title of the Funded Project

University of Connecticut

Nicholas Lownes Charles Patton Kelly Bertolaccini

Advanced Research

Investigating the Linkage between Transit Access to Services and Affordable Housing Availability

Karthik Charan Konduri

Basic Research

Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future

Norman Garrick

Carol Atkinson‐Palombo

Applied Research

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

Washington State University

Xianming Shi Applied Research

Developing Friction Data to Support the Optimal Use of Pre-wet Deicing Salt for Enhanced Winter Mobility

Xianming Shi Applied Research

Modeling the Macroscopic Effects of Winter Maintenance Operations on Traffic Mobility on Washington Highways

Texas Southern University

Yi Qi Mehdi Azimi Qun Zhao

Applied Research

Determination of Freeway Acceleration Lane Length for Smooth ad Safe Truck Merging

Yi Qi Mehdi Azimi Qun Zhao

Applied Research

Innovative Countermeasures for Reducing the Truck Waiting Time at Marine Terminals

Mehdi Azimi Yi Qi Qun Zhao

Applied Research

Investigating the Impact of Different Attributes on Bicycling Mode Share as A Multimodal Connectivity Strategy in Large Cities: A Case Study in Houston

Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE)

University Transportation Center• Current (Year 1) Research Projects @ UNCC (02/03/2017 – 09/30/2018)

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) Research Projects @ UNCC (10/01/2017 – 09/30/2018) 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

Current CAVs Research 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.

Current CAVs Research 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.

Future CAVs Research 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