|
|
Research Reports |
| Title: | Infrastructure Safety Support System for Smart Cities with Autonomous Vehicles |
| Authors: | Ying Huang, Pan Lu, Raj Bridgelall, Xinyi Yang, and Yihao Ren |
| University: | North Dakota State University |
| Publication Date: | Dec 2021 |
| Report #: | MPC-21-447 |
| Project #: | MPC-547 |
| TRID #: | 01833379 |
| Keywords: | algorithms, autonomous vehicles, decision making, sensors, traffic safety, vehicle to infrastructure communications |
| Type: | Research Report – MPC Publications |
This research seeks to develop an infrastructure safety support system by embedding V2I enabled sensor networks into the transportation infrastructure to provide autonomous vehicles and human drivers with inputs to improve their decision making when obvious decisions may not possible. A new car-following algorithm is also developed to enable the autonomous vehicles to integrate the real-time traffic and road condition data from such an infrastructure safety support system to improve traffic safety and mobility with autonomous vehicles in mixed driver environments. The performed sensitivity study also optimizes such an infrastructure safety support system for combined considerations on effectiveness and affordability of the system.
Huang, Ying, Pan Lu, Raj Bridgelall, Xinyi Yang, and Yihao Ren. Infrastructure Safety Support System for Smart Cities with Autonomous Vehicles, MPC-21-447. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2021.
View Report