Open Access. Powered by Scholars. Published by Universities.®

Urban Studies and Planning Commons

Open Access. Powered by Scholars. Published by Universities.®

Portland State University

2018

Autonomous vehicles -- United States

Articles 1 - 4 of 4

Full-Text Articles in Urban Studies and Planning

Modeling Mixed Freeway Traffic: Human-Driven And Self-Driven Cars, Xianfeng Terry Yang, Zhao Zhang, Zhehao Zhang Dec 2018

Modeling Mixed Freeway Traffic: Human-Driven And Self-Driven Cars, Xianfeng Terry Yang, Zhao Zhang, Zhehao Zhang

TREC Project Briefs

Connected automated vehicles (CAVs) are typically equipped with communication devices (e.g., dedicated short range communications (DSRC)) and on-board sensors (e.g., Radar, Lidar, Camera, etc.). Communication devices would enable the exchange of real-time information between vehicles and infrastructures via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) channels. Sensors equipped in vehicles are providing various vehicle sensor data (VSD) such as the CAV’s GPS location, speed and moving direction (trajectory). Existing studies have shown the effectiveness of using CAV trajectories as input in many traffic control models.

However, it can be expected that CAVs and human-driven vehicles (HVs) will co-exist on the transportation network …


Vehicle Sensor Data (Vsd) Based Traffic Control In Connected Automated Vehicle (Cav) Environment, Xianfeng Terry Yang, Zhao Zhang, Zhehao Zhang Dec 2018

Vehicle Sensor Data (Vsd) Based Traffic Control In Connected Automated Vehicle (Cav) Environment, Xianfeng Terry Yang, Zhao Zhang, Zhehao Zhang

TREC Final Reports

Connected automated vehicles (CAVs) are typically equipped with communication devices (e.g., dedicated short range communications (DSRC)) and on-board sensors (e.g., Radar, Lidar, Camera, etc.). Communication devices would enable the exchange of real-time information between vehicles and infrastructures via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) channels. Sensors equipped in vehicles are providing various vehicle sensor data (VSD) such as the CAV’s GPS location, speed and moving direction (trajectory). Existing studies have shown the effectiveness of using CAV trajectories as input in many traffic control models.

However, it can be expected that CAVs and human-driven vehicles (HVs) will co-exist on the transportation network …


Incorporate Emerging Travel Modes In The Regional Strategic Planning Model (Rspm) Tool, Liming Wang, Joseph Broach, Huajie Yang Nov 2018

Incorporate Emerging Travel Modes In The Regional Strategic Planning Model (Rspm) Tool, Liming Wang, Joseph Broach, Huajie Yang

TREC Final Reports

Performance-based planning helps local and state decision makers to understand the potential impacts of policy decisions, supporting cost-effective investments and policy choices that can help achieve policy goals. In addition, it can enable monitoring of progress and facilitate needed adjustments, help them communicate to the public, and assist them with meeting federal regulations and the intent of MAP21. The Regional Strategic Planning Model (RSPM) is a performance-based planning tool first developed by Oregon State DOT (as GreenSTEP) and later adapted for use by other states in the form of the Federal Highway Administration (FHWA) Emissions Reduction Policy Analysis Tool (EERPAT) …


Modeling For New Modes: Autonomous Vehicles & Shared Rides, Liming Wang, Joseph Broach, Huajie Yang Nov 2018

Modeling For New Modes: Autonomous Vehicles & Shared Rides, Liming Wang, Joseph Broach, Huajie Yang

TREC Project Briefs

Performance-based planning helps local and state decision makers to understand the potential impacts of policy decisions, supporting cost-effective investments and policy choices that can help achieve policy goals. In addition, it can enable monitoring of progress and facilitate needed adjustments, help them communicate to the public, and assist them with meeting federal regulations and the intent of MAP21. The Regional Strategic Planning Model (RSPM) is a performance-based planning tool first developed by Oregon State DOT (as GreenSTEP) and later adapted for use by other states in the form of the Federal Highway Administration (FHWA) Emissions Reduction Policy Analysis Tool (EERPAT) …