Cooperative ramp control in mixed traffic environment – Year two

This research will develop a novel freeway control approach for the era of co-existence of connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs). Fully connected and autonomous vehicles can navigate roads without a human driver and connect and interact with other vehicles, roadside infrastructure, and their environment. It is anticipated that the technology will be made available to consumers in the very near future. However, generic market adaption and phasing out of the current vehicle fleet is likely to take years or even decades. Meanwhile, CAVs, with various levels of automation, should co-exist and interact with HDVs. The current congestion control measures might become ineffective since they are mainly formulated based on humans’ driving behaviors and models. Recent research focused on developing control solutions for a fully automated driving environment. In this research, a multi-level freeway control approach will be developed for a mixed traffic environment that leverages the automation and connectivity features of CAVs to optimize their path while regulating the freeway corridor inflow traffic to optimize the system performance. The achieved insights would be valuable to prepare transportation experts at the City of Calgary, other municipalities, and the transportation industry for the era of co-existence of CAVs and HDVs to face the potential challenges in the future intelligent transportation systems.

Faculty Supervisor:

Lina Kattan

Student:

Partner:

City of Calgary

Discipline:

Engineering

Sector:

Public administration; Utilities

University:

University of Calgary

Program: