Development and evaluation of cooperative intersection management algorithm under connected and automated vehicles environment

Document Type

Article

Publication Date

1-1-2021

Abstract

Recent technological advancements in the automotive and transportation industry established a firm foundation for development and implementation of various connected and automated vehicle solutions around the globe. Wireless communication technologies such as the dedicated short-range communication protocol are enabling information exchange between vehicles and infrastructure. This research paper introduces an intersection management strategy for a corridor with automated vehicles utilizing vehicular trajectory-driven optimization method. Trajectory-Driven Optimization for Automated Driving provides an optimal trajectory for automated vehicles based on current vehicle position, prevailing traffic, and signal status on the corridor. All inputs are used by the control algorithm to provide optimal trajectories for automated vehicles, resulting in the reduction of vehicle delay along the signalized corridor with fixed-time signal control. The concept evaluation through microsimulation reveals that, even with low market penetration (i.e., less than 10%), the technology reduces overall travel time of the corridor by 2%. Further increase in market penetration produces travel time and fuel consumption reductions of up to 19.5% and 22.5%, respectively.

Identifier

85116312525 (Scopus)

Publication Title

Transportation Research Record

External Full Text Location

https://doi.org/10.1177/0361198121994580

e-ISSN

21694052

ISSN

03611981

First Page

94

Last Page

104

Issue

7

Volume

2675

Grant

CMMI-1844238

Fund Ref

National Science Foundation

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