Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology

Hu, Jia; Park, Byungkyu Brian; Lee, Young Jae

doi:10.1016/j.trc.2014.12.005

Cited by 165 publications

(76 citation statements)

References 20 publications

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“…Similar values have been used by other studies, for example Hu et al (2015). However, any bus passenger or auto passenger occupancies can be utilized with the proposed system.…”

Section: Applicationmentioning

confidence: 92%

“…However, this system was restricted to isolated intersections, and did not account for transit schedule adherence in the objective function. Another real-time signal control system that minimizes person delay for all users at consecutive signalized intersections with the use of CV data was also recently proposed (Hu et al, 2015). The system was tested only for a two-intersection arterial segment and under the assumption of a maximum of one bus priority provision per cycle.…”

Section: Introductionmentioning

confidence: 99%

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Arterial traffic signal optimization: A person-based approach

Christofa

Ampountolas

Skabardonis

2016

Transportation Research Part C: Emerging Technologies

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This paper presents a real-time signal control system that optimizes signal settings based on minimization of person delay on arterials. The system's underlying mixed integer linear program minimizes person delay by explicitly accounting for the passenger occupancy of autos and transit vehicles. This way it can provide signal priority to transit vehicles in an efficient way even when they travel in conflicting directions. Furthermore, it recognizes the importance of schedule adherence for reliable transit operations and accounts for it by assigning an additional weighting factor on transit delays. This introduces another criterion for resolving the issue of assigning priority to conflicting transit routes. At the same time, the system maintains auto vehicle progression by introducing the appropriate delays associated with interruptions of platoons. In addition to the fact that it utilizes readily available technologies to obtain the input for the optimization, the system's feasibility in real-world settings is enhanced by its low computation time. The proposed signal control system is tested on a four-intersection segment of San Pablo Avenue arterial located in Berkeley, California. The findings show the system's capability to outperform pretimed (i.e., fixed-time) optimal signal settings by reducing total person delay. They have also demonstrated its success in reducing bus person delay by efficiently providing priority to transit vehicles even when they are traveling in conflicting directions.

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“…Similar values have been used by other studies, for example Hu et al (2015). However, any bus passenger or auto passenger occupancies can be utilized with the proposed system.…”

Section: Applicationmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Arterial traffic signal optimization: A person-based approach

Christofa

Ampountolas

Skabardonis

2016

Transportation Research Part C: Emerging Technologies

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show abstract

“…However, it may wait longer time at downstream intersections, and the signal priority is not effective for the whole bus travel. Therefore, coordination in the whole artery is necessary [20], [21]. Traffic signal coordination for transit is the provision of an extra progression band for transit based on the knowledge of the transit routes and ridership patterns [22], [23].…”

Section: Problem Definitionmentioning

confidence: 99%

A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization

Zou

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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“…Hu et al [48] proposed a person-delay-based optimization method for transit signal priority (TSP) which enables bus/signal cooperation and coordination among consecutive signalized intersections under the connected vehicle environment. A Binary Mixed Integer Linear Program is used to solve the bus delay from an upstream intersection to downstream intersections, and thus minimizes personal delay for all users.…”

Section: Control Strategies For Multiple Intersectionsmentioning

confidence: 99%

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

2017

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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.

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Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology

Cited by 165 publications

References 20 publications

Arterial traffic signal optimization: A person-based approach

Arterial traffic signal optimization: A person-based approach

A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

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