Abstract

In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern depending on road traffic demand. This results in excessive delays for road users. Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables the real-time data exchange among vehicles and between vehicles and infrastructure. Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made. Twenty-six eligible studies searched from six databases constitute the review. A quality evaluation was established based on previous research instruments and applied to the current review. The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods. Further, a systematic framework on connected vehicle based adaptive traffic signal control is summarized to support the future research. Future research is needed to develop more efficient and generic adaptive traffic signal control methods in a connected vehicle environment.

Highlights

  • Recent years have witnessed a tremendous increase in car ownership in urban areas

  • We present a thorough and systematic review on adaptive traffic signal control in a connected vehicle environment

  • In order to have a strict evaluation process, this review has provided a detailed discussion and analysis of adaptive traffic signal control methods, such as the method implemented in the selected papers, the estimation of unequipped vehicle status, and the simulation platform employed in those papers

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Summary

Introduction

Recent years have witnessed a tremendous increase in car ownership in urban areas. This has result in increasing travel time, traffic congestion, gas emissions, and fuel consumption [1,2,3]. VISSIM [54], with its powerful and mature simulation module, is the preferred platform for researchers to simulate intersection traffic signal control scenarios. In [17,22,24,42,44,46,47,48,50], VISSIM is used to simulate the intersection traffic signal control scenarios based on the proposed methods. In [24], to incorporate the simulation of connected vehicle environment and the implementation of the Kalman filter algorithm, MATLAB is employed to connect with VISSIM through COM interface. VISSIM-COM, the ASC virtual controller as the simulation environment, and GAMS/CPLEX as optimization solver, constitute the entire simulation platform in [46,47]. COM starts a VISSIM simulation and sends the data to CPLEX

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