MPC Research Reports
Report Details

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

Abstract

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.

How to Cite

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.