A Bi-Level Model to Resolve Conflicting Transit Priority Requests at Urban Arterials

Xu, Mingtao; An, Kun; Ye, Zhirui; Wang, Yuan; Feng, Jiaxiao; Zhao, Jiahui

doi:10.1109/tits.2018.2853102

Cited by 21 publications

(11 citation statements)

References 19 publications

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“…The start time of phase is delayed and delay time should be less than the back-migration time. As a conclusion, the extra constraint for this situation is presented by (17).…”

Section: A Green Extension Modelmentioning

confidence: 76%

“…The implementation of the transit priority should be considered for the arterial coordination, when the background signal time plan has the green wave control [16]- [17]. In [19], Wang et al purposed a two-way green-wave optimal signal priority control model for rail transit, the objective is to maximize passenger vehicles' bandwidth of green wave under the constraint of transits' bandwidth with the consideration of transits' and passenger vehicles' efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Transit Priority Signal Control Scheme Considering the Coordinated Phase for Single-Ring Sequential Phasing Under Connected Vehicle Environment

2019

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Real-time transit signal priority (TSP) controls is affected by coordination phase and deprive non-transit traffic benefits. In this paper, fully considering the migration states of coordinated phases and queuing states of non-transit vehicles, a transit signal priority controlling method is proposed for the single-ring sequential phasing under the connected vehicle (CV) environment. The queue length of the non-transit phase is estimated using real-time parking position of the probe vehicles in CV environment, and then the compression capability of phase can be confirmed. Under the premise of not destroying the green waveband of the intersection group, three models are proposed, including the green time extension, red time truncation, and phase insertion models. In the proposed model, the maximum priority effect and the minimum time deviations for the non-transit phase are taken as the optimization object. The maximum/minimum green time, total cycle length, and the backward/forward migration time of coordinated phases are taken as the constraints. Through the analysis of experimental results with examples, the transit priority control model proposed in this paper effectively improves the transit priority efficiency, and minimizes the impact on the non-transit traffic benefits while considering the coordinated phase state and not destroying the coordination effect. INDEX TERMS Coordinated phase, connected vehicle, single-ring sequential phasing, travelling benefits, TSP.

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“…The start time of phase is delayed and delay time should be less than the back-migration time. As a conclusion, the extra constraint for this situation is presented by (17).…”

Section: A Green Extension Modelmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Transit Priority Signal Control Scheme Considering the Coordinated Phase for Single-Ring Sequential Phasing Under Connected Vehicle Environment

2019

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“…In Girvan-Newman algorithm the number of clusters is not fixed a priori, and it detects the clusters by removing edges from the original network; for more details, see [44]. e cluster is given by the connected subnetwork obtained.…”

Section: B2 Newman Clustering Algorithmmentioning

confidence: 99%

Performance Analysis of Decentralized VS Centralized Control for the Traffic Signal Synchronization Problem

Adacher

Tiriolo

2020

Journal of Advanced Transportation

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This paper suggests the adoption of a spatial decomposition method to solve the signal synchronization problem. A good signal setting maximizes the number of vehicles passing through intersections, while minimizing gas emissions and possible delays experienced by drivers. The signals synchronization issue can be defined as the problem of finding the offsets, the green timings, and the cycle length for a series of controlled intersections, minimizing the total delay of the network subject to admissibility constraints. In this paper, the authors optimized the signal setting through a new Surrogate Method calculating the objective function via the CTM UT model while performing a simulation. A spatial decomposition approach is here suggested with a simultaneous analysis of different levels of cooperation among subnetworks. This study tries to identify a subnetwork that might be representative of the entire network while taking into consideration two factors: efficiency and efficacy. A comparison between centralized and decentralized control is performed.

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“…In 2018, Zhao and Ma [10] formulated two‐objective programming at the complex intersection with island BRT stations to describe the benefits of buses, private vehicles, crossing pedestrians, and bus passengers. Besides, some coordinated bus progression methods for high‐demand bus corridors were developed by considering bus dwell time [14–16]. However, the passive control could only serve a part of buses because bus arrivals have great uncertainty and even an increasing deviation of headways along the route [17] due to the difference of the number of passengers at each station, the layout of stations, traffic congestion, signal timings, and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Lin

Yang

Wang

2020

IET intell. transp. syst

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A Bi-Level Model to Resolve Conflicting Transit Priority Requests at Urban Arterials

Cited by 21 publications

References 19 publications

Transit Priority Signal Control Scheme Considering the Coordinated Phase for Single-Ring Sequential Phasing Under Connected Vehicle Environment

Transit Priority Signal Control Scheme Considering the Coordinated Phase for Single-Ring Sequential Phasing Under Connected Vehicle Environment

Performance Analysis of Decentralized VS Centralized Control for the Traffic Signal Synchronization Problem

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

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