New transit signal priority scheme for intersections with nearby bus rapid transit median stations

Lin, Yongjie; Yang, Xianfeng; Wang, Qinzheng

doi:10.1049/iet-its.2019.0543

Cited by 9 publications

(4 citation statements)

References 37 publications

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“…In previous researches about the green wave controls of buses, Lin et al developed a new operational framework to reduce bus travel time and prevent queue spillbacks at the bus stations [24]. Yang et al proposed a method for TSP with coordinating the primary and secondary intersections with considering the bus dwelling time and road travel time [25].…”

Section: Introductionmentioning

confidence: 99%

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Connected eco‐driving for electric buses along signalized arterials with bus stops

Shan

Wan

Hao

et al. 2022

IET Intelligent Trans Sys

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With the rapid development of the cooperative vehicle infrastructure system, eco‐approach and departure has been attracting increasing attention for mitigating the impact of signalized intersections, which helps improve the energy efficiency of equipped vehicles. However, existing studies have rarely considered the balance of electric bus energy consumption and traveling time. Meanwhile, the joint effect of bus stops and signalized intersections, and their interactions were not discussed widely with connected and automated electric buses (CAEBs). In this study, an integrated CAEB trajectory planning methodology with the balance of traveling time and energy consumption is proposed. A bi‐level programming model is developed to obtain the optimal trajectories of CAEBs. Numerical experiments are conducted to analyse and compare the model with two baseline models. The results demonstrate the optimal performance of the derived scheme in terms of bus energy consumption, with approximately 30–50% energy savings. Furthermore, model sensitivity analysis is conducted to quantify the impacts of the related system parameters. The findings also reveal that the entry time, conversion coefficient, and final speed have significant impacts on electric bus energy consumption along signalized arterials with bus stops.

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Section: Introductionmentioning

confidence: 99%

“…In previous researches about the green wave controls of buses, Lin et al. developed a new operational framework to reduce bus travel time and prevent queue spillbacks at the bus stations [24]. Yang et al.…”

Section: Introductionmentioning

confidence: 99%

Connected eco‐driving for electric buses along signalized arterials with bus stops

Shan

Wan

Hao

et al. 2022

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…The scope of the bus priority studies ranges from isolated intersection, to that at arterial level and with signal co-ordination [10]- [15]]. The effects of transit facilities like exclusive lane [10] [11] [16], near side bus stop [17]- [18], pre-signal strategy [19], BRT [20] [21] were also investigated. The model-based strategies developed so far can also be called an optimization-based strategy, since they attempt to provide priority based on the optimization of some performance criterion.…”

Section: Introductionmentioning

confidence: 99%

“…The bus arrival was represented by giving a weight factor, which is a function of current traffic demand, queuing conditions of the intersection, and bus lateness. The study [21] extended the conventional priority strategies, GE and RT, with suppression strategies like Green Truncation and Red Extension to reduce delays and avoid queue spillback at median BRT stations. An optimization model for adaptive transit signal priority using a parallel genetic algorithm (PGA) was developed in [23].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Thresholds Identification for Green Extension and Red Truncation Strategies for Bus Priority

2021

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Among the different strategies adopted to improve the efficiency and reliability of the bus services, bus signal priority is a low cost and less infrastructure-demanding solution that has the potential to reduce bus travel times in urban arterials. This paper develops analytical models for finding the thresholds for Green Extension (GE) and Red Truncation (RT) for a four-phase signal system with buses on conflicting phases. The thresholds are developed based on reducing the total person delay after considering buses from the current cycle and unserved buses from the previous cycle for priority decisions. The proposed models aim for zerodelay service for the buses from the current cycle and reducing delay for the unserved buses from the previous cycle. The models reveal that at multi-phase signals, several bus priority alternatives are possible to reduce total person delay and agencies can choose alternatives based on their requirements and constraints. These models are evaluated in VISSIM microscopic simulation environment. The evaluation results indicate a 16.7 to 42.8% reduction in total person intersection delay due to the implemented bus priority.

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Influence of Adaptive Traffic Lights for Delay and Conflict Reduction Applying the SSAM Model at an Urban Intersection

Breña

Vasquez

Silvera

et al. 2023

Smart Innovation, Systems and Technologies

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New transit signal priority scheme for intersections with nearby bus rapid transit median stations

Cited by 9 publications

References 37 publications

Connected eco‐driving for electric buses along signalized arterials with bus stops

Connected eco‐driving for electric buses along signalized arterials with bus stops

Dynamic Thresholds Identification for Green Extension and Red Truncation Strategies for Bus Priority

Influence of Adaptive Traffic Lights for Delay and Conflict Reduction Applying the SSAM Model at an Urban Intersection

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