Pre-Control Strategies for Downstream Bus Service Reliability With Traffic Signal

Zhang, Hu; Liang, Shidong; Han, Yin-Yi; Ma, Minghui; Leng, Rongmeng

doi:10.1109/access.2020.3015982

Cited by 5 publications

(5 citation statements)

References 30 publications

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“…Jianping Wu [19] studied the bus priority system under three different pre-signal conditions. Hu Zhang and Shidong Liang [20] proposed a pre-control method to improve the balance of service intervals at downstream stops, through an adjustment of green light time for buses passing, by which priority and delays of traffic for buses to pass through can be achieved. K Long [21] analyzed the bus priority control at a single intersection, using the average delay and per capita delay as the evaluation index.…”

Section: Literature Reviewmentioning

confidence: 99%

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Tandem Design of Bus Priority Based on a Pre-Signal System

et al. 2021

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Giving buses priority is an important measure to improve the attractiveness of public transport and to reduce urban traffic congestion. Reducing bus service delays as much as possible will have a positive impact on urban traffic. Based on the pre-signal system, a bus at an intersection with a left-turn special phase is optimized by “tandem design”. The design model is applied to the entrance of an intersection to study the process of vehicle arrival and departure at the main signal and pre-signal, and to calculate and analyze the delay changes of buses, straight social vehicles (meaning vehicles other than those required to be open to traffic) and left-turn vehicles before and after the adoption of “tandem design”. The results show that when the vehicle capacity at the intersection is saturated, the delays to buses and the delays of left-turn vehicles will be significantly reduced once the “tandem design” is adopted at the entrance of a cross intersection with a special left-turn phase. However, it has little effect on the delay of straight-on vehicles; with this system, the total delay experienced by straight vehicles will be reduced to one cycle.

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Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, the triangular JKQ area and triangular PLJ area can be calculated by Equations (19) and (20), respectively:…”

Section: Delay Analysis Of Left-turn Vehicles With the "Tandem Design"mentioning

confidence: 99%

Tandem Design of Bus Priority Based on a Pre-Signal System

et al. 2021

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“…Furthermore, Kim et al [15] considered the dwell time uncertainty and traffic queue to construct a model that reflects the actual traffic flow. Zhang et al [16,17], Ding et al [18], and Zeng et al [19] studied the TSP provision by predicting the arrival or dwell time in advance considering the actual arrival of the bus at an intersection.…”

Section: Introductionmentioning

confidence: 99%

Progression Control Model to Enhance Performance of Transit Signal Priority

Han

Kim

2022

IEEE Access

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“…In addition to the aspects mentioned above, many TSP applications benefit only from the target individual intersections [27]. Transit arrival times at downstream intersections are often overlooked [28]. Such operations may result in ineffective transit priority which greatly affecting system reliability, and the extra green duration at the upstream intersection may be wasted [29].…”

Section: Introductionmentioning

confidence: 99%

Conditional Transit Signal Priority Optimization at Stop-to-Stop Segments to Improve BRT On-Time Performance

2022

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Bus rapid transit (BRT) as a valid means of public transportation for overpopulated country of China is an especial mode of travel to relieve traffic congestion. Despite utilizing exclusive bus line, BRT constantly experiences delay at intersections when encountering a red signal. Transit signal priority (TSP) considered as a promising control strategy to improve the operation efficiency of BRT has been widely used at isolated intersections or arterials to reduce travel delay. However, as a transport with schedule, the unexpected arrival time of transit vehicle at stop lines of consecutive intersections inevitably affects the operation reliability of the BRT system. To solve the problem, this study develops an optimization model of conditional TSP for bus rapid transit with the objective of improving the on-time performance of the BRT system while mitigating adverse impacts on private vehicles. A stop-to-stop segment is established with both road sections and intersections for the consideration of the transit operation reliability. The constraints on the degree of saturation and queue overflow were considered for mitigating adverse impacts of TSP. A mixed-integer non-linear programming procedure is adopted to formulate the optimization model. The mathematical model is linearized and solved by the branch-and-bound method. Extensive numerical analyses are conducted, and the proposed conditional TSP strategy is compared with unconditional TSP and no-TSP control to evaluate its performance under various traffic and signal conditions. A case study of a BRT line in Shanghai, China, was selected to illustrate the effectiveness of the proposed model. For the tested scenarios, the transit on-time performance was improved by 21%, with an incurred cost of 3.4% increase in the delay of private vehicles. This indicates that the proposed model performs well in maintaining the reliability of the transit system with the least impact on general traffic.INDEX TERMS Bus rapid transit (BRT), mixed-integer-linear-programing (MILP), on-time performance, stop-to-stop segment, transit signal priority (TSP).

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Pre-Control Strategies for Downstream Bus Service Reliability With Traffic Signal

Cited by 5 publications

References 30 publications

Tandem Design of Bus Priority Based on a Pre-Signal System

Tandem Design of Bus Priority Based on a Pre-Signal System

Progression Control Model to Enhance Performance of Transit Signal Priority

Conditional Transit Signal Priority Optimization at Stop-to-Stop Segments to Improve BRT On-Time Performance

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