Simultaneous Optimization of Passive Transit Priority Signals and Lane Allocation

Shi, Weiguo; Yu, Chunhui; Ma, Wanjing; Wang, Ling; Nie, Lei

doi:10.1007/s12205-019-1837-9

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…They also observed that the signal priority decreased the level of intersection service by several levels under the condition of heavy traffic [6,7]. Shi et al [8] designed a simulated annealing algorithm to verify the efficiency and security of the generated optimal signal. The structure of the paper is as follows: in the literature review, studies of transit signal priority, optimal control of urban rail and intersection driving strategy of CAVs are summarized.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They also observed that the signal priority decreased the level of intersection service by several levels under the condition of heavy traffic [6,7]. Shi et al [8] designed a simulated annealing algorithm to verify the efficiency and security of the generated optimal signal. Hu et al [9] took real-time vehicle information and facility information as the basic information for the input system and used the efficient dynamic programming algorithm to configure this system.…”

Section: Literature Reviewmentioning

confidence: 99%

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Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection

Dang²,

Zhang

et al. 2023

Applied Sciences

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In order to alleviate the conflict at intersections in a networked environment between trams in a semi-exclusive right-of-way mode and social vehicles, the running characteristics of these trams and vehicles and their coupling characteristics with the intersection signal are analyzed. The positive and negative effects of the special priority signal on the intersection are considered, and a guidance optimization model that combines urban rails and roads is constructed. With the aim of creating an unplanned delay adjustment scenario for trams, an online collaborative optimization algorithm is proposed, which takes the energy consumption, passenger travel time and comfort of both trams and connected vehicles as optimization objectives in order to realize integrated adjustment of the running trajectories and signal timing, and the population is evolved by using an adaptive elitist genetic algorithm. The study is based on the actual traffic information and timing scheme of an intersection on the T1 line of the Sanya Tram. By comparing with conventional trajectories, the optimized trajectories reduce the total transit time by about 17.1%, the total energy consumption by about 34.7% and the passenger discomfort degree by about 27.8%. The contradiction of the right-of-way distribution at the intersection is alleviated, effectively safeguarding the interests of different users and enterprises. The experimental results show that the model has excellent applicability for different proportions of passenger numbers.

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Section: Literature Reviewmentioning

confidence: 99%

“…They also observed that the signal priority decreased the level of intersection service by several levels under the condition of heavy traffic [6,7]. Shi et al [8] designed a simulated annealing algorithm to verify the efficiency and security of the generated optimal signal. Hu et al [9] took real-time vehicle information and facility information as the basic information for the input system and used the efficient dynamic programming algorithm to configure this system.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection

Dang²,

Zhang

et al. 2023

Applied Sciences

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“…Based on research results [19][20][21][22], it is necessary to consider the condition that a significant reduction in traffic delay values is achieved mainly for public transport. At the same time, the reduction of traffic delay for private transport is insignificant, where no allocated lanes are provided for public transport [19,20], and when lanes for public transport are provided, traffic delay increases [21,22]. This phenomenon is connected to the fact that the available lanes are mostly allocated within the existing roadway width.…”

Section: Introductionmentioning

confidence: 99%

Public Transport Prioritization and Descriptive Criteria-Based Urban Sections Classification on Arterial Streets

et al. 2023

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The present paper is aimed at improving minimization methods in traffic flows, particularly reducing the costs of civil transportation through sections of the transport network by giving priority to public transport in densely developed areas. In cities with a radial and radial–circular planning scheme of the road network, where arterial traffic flows converge in the central part, the challenge of street congestion with traffic often arises. As a result, delays of all types of vehicles increase, which causes excessive travel time for users of private and public transport. In this regard, it is proposed to divide the sections of the transport network into eight types based on their geometric parameters and traffic conditions. This differentiation of sections improves the existing methods for determining the spatial delay of traffic flows on sections of the transport network with different parameters. It was achieved by considering the duration of vehicles passing signalized intersections and pedestrian crosswalks and the sections of streets between them, while simultaneously recording the duration of public transport movement, as well as the time they spend at stopping points, using GPS receivers. The results of onsite monitoring and further computations revealed that there are particular urban sections with specific, different distances between adjacent stop lines that are critical for public transport operation. Furthermore, based on the delay criterion, there were three different passage modes proposed to improve the efficiency of the traffic.

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“…Dynamic programming approaches have also been adopted for high-frequency multiple-TSP request optimization to maximize the available green time for transit vehicles [39], [40]. Furthermore, to minimize the weighted sum of two modes of transportation delay (transit vehicle and general traffic), Shi, Yu, Ma, Wang and Nie [41] employed a simulated annealing algorithm to optimize exclusive bus lane settings, lane markings, and TSP signal timing settings concurrently. Despite the significant benefits of the former solution methods obtained in TSP optimization, most of the previous solution algorithms are formulated as nonlinear and computationally complex.…”

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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Simultaneous Optimization of Passive Transit Priority Signals and Lane Allocation

Cited by 10 publications

References 18 publications

Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection

Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection

Public Transport Prioritization and Descriptive Criteria-Based Urban Sections Classification on Arterial Streets

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

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