Abstract

Purpose The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus system. Design/methodology/approach The authors developed a dynamic programming model that optimally schedules the bus operating speed at road sections and multiple signal timing plans at intersections to improve bus schedule adherence. First, the bus route was partitioned into three types of sections: stop, road and intersection. Then, transit agencies can control buses in real time based on all collected information; i.e. control bus operating speed on road sections and adjust the signal timing plans through signal controllers to improve the schedule adherence in connected bus environment. Finally, bus punctuality at the downstream stop and the saturation degree deviations of intersections were selected as the evaluation criteria in optimizing signal control plans and bus speeds jointly. Findings An illustrative case study by using a bus rapid transit line in Jinan city was performed to verify the proposed model. It revealed that based on the proposed strategy, the objective value could be reduced by 73.7%, which indicated that the punctuality was highly improved but not to incur excessive congestion for other vehicular traffic. Originality/value In this paper, the authors applied speed guidance and the adjustment of the signal control plans for multiple cycles in advance to improve the scheduled stability; furthermore, the proposed control strategy can reduce the effect on private traffics to the utmost extend.

Highlights

  • 1.1 Background In recent years, giving priority to public transportation has been deemed as an effective way to alleviate traffic congestion and reduce greenhouse gas emissions in most metropolis all around the world (Wang and Qu, 2015; Bie et al, 2015)

  • It is extremely hard to guarantee that the bus could arrive at each station on time, because the operation of public transportation will be disturbed by numerous random factors, including the delay at intersections and the fluctuations according to passenger demand

  • This paper presents a bus dynamic control model for a route under connected bus environment

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Summary

Introduction

1.1 Background In recent years, giving priority to public transportation has been deemed as an effective way to alleviate traffic congestion and reduce greenhouse gas emissions in most metropolis all around the world (Wang and Qu, 2015; Bie et al, 2015). It is extremely hard to guarantee that the bus could arrive at each station on time, because the operation of public transportation will be disturbed by numerous random factors, including the delay at intersections and the fluctuations according to passenger demand. The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/2399-9802.htm. Buses bunch up and become irregular even if they departure with perfectly even headway, which aggravates the instability of transportation system seriously and lowers attention from passengers significantly. In this way, improving bus schedule adherence is highly important

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