Connected and Automated Vehicles: Ameliorating Traffic Safety and Operations

It is expected that a complete deployment of Connected and Automated Vehicles (CAVs) onto a transportation network will take a long transition period and, therefore, reliable and accurate modeling of mixed traffic networks that include both conventional vehicles (ConVs) and CAVs is of paramount importance for the success of CAVs concept implementation. This project will utilize and expand basic traffic simulation models for mixed traffic networks to evaluate the specific factors that can ameliorate traffic safety and operations (e.g., the CAVs penetration ratios that may lead delaying the offset of congestion on freeway, the impact of traffic volumes on the efficiency of traffic signals and traffic safety, etc.). The partner will benefit by promoting their technology as a showcase related to the improvement of traffic operations as well as other environmental and economic benefits (e.g., reduction in air pollution, optimization of fuel consumption, reduction in lost productivity, etc.).

Faculty Supervisor:

Ciprian Alecsandru

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program: