Signal Timing Optimization for Oversaturated Networks Using TRANSYT-7F

Li, Min-Tang; Gan, Albert

doi:10.3141/1683-15

Cited by 46 publications

(12 citation statements)

References 1 publication

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“…2 to 5 min horizon). There are several adaptive control systems being developed; some of which include: SCATS [26], OPAC [27], TRANSYT-7F [28], UTOPIA [29], SCOOT [30], RHODES [31], ACS-Lite [32], MOTION [33], and more programs are also coming on to the market. Many of them are adaptive signal systems with a centralized controller.…”

Section: Signal Control Systems and Tspmentioning

confidence: 99%

Transit Signal Priority in Smart Cities

Moghimi¹,

Kamga²

2021

Models and Technologies for Smart, Sustainable and Safe Transportation Systems

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Giving priority to public transport vehicles at traffic signals is one of the traffic management strategies deployed at emerging smart cities to increase the quality of service for public transit users. It is a key to breaking the vicious cycle of congestion that threatens to bring cities into gridlock. In that cycle, increasing private traffic makes public transport become slower, less reliable, and less attractive. This results in deteriorated transit speed and reliability and induces more people to leave public transit in favor of the private cars, which create more traffic congestion, generate emissions, and increase energy consumption. Prioritizing public transit would break the vicious cycle and make it a more attractive mode as traffic demand and urban networks grow. A traditional way of protecting public transit from congestion is to move it either underground or above ground, as in the form of a metro/subway or air rail or create a dedicated lane as in the form of bus lane or light rail transit (LRT). However, due to the enormous capital expense involved or the lack of right-of-way, these solutions are often limited to few travel corridors or where money is not an issue. An alternative to prioritizing space to transit is to prioritize transit through time in the form of Transit Signal Priority (TSP). Noteworthy, transit and specifically bus schedules are known to be unstable and can be thrown off their schedule with even small changes in traffic or dwell time. At the same time, transit service reliability is an important factor for passengers and transit agencies. Less variability in transit travel time will need less slack or layover time. Thus, transit schedulers are interested in reducing transit travel time and its variability. One way to reach this goal is through an active intervention like TSP. In this chapter a comprehensive review of transit signal priority models is presented. The studies are classified into different categories which are: signal priority and different control systems, passive versus active priority, predictive transit signal priority, priority with connected vehicles, multi-modal signal priority models, and other practical considerations.

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Section: Signal Control Systems and Tspmentioning

confidence: 99%

Transit Signal Priority in Smart Cities

Moghimi¹,

Kamga²

2021

Models and Technologies for Smart, Sustainable and Safe Transportation Systems

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“…TRANSYT-7F was improved in Release 8 to model oversaturated networks. Lin and Gan (1999) introduced this capability.…”

Section: Introductionmentioning

confidence: 97%

A Hierarchy Control Algorithm and its application in Urban Arterial Control Problem

Chen

Yang

et al. 2007

2007 IEEE Intelligent Transportation Systems Conference

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The purpose of this paper is to investigate the application of a hierarchy control algorithm in solving the traffic signal timing control problem for an oversaturated traffic arterial. In the local control layer, the concept of feeding delay and non-feeding delay is introduced , and the cell transmission model is used to calculate the feeding delay and the nonfeeding delay, then the control problem is formulated as an conflicted multi-objective control problem, and an IPNSGA-II based compatible controller installed at adjacent junctions is used to design signal timing plan for each junctions. Then in the coordination layer, based on the state of density on each link, three rules are proposed to define the range of the junctions required to be coordinated. Finally, the IPNSGA-II is used to design the traffic signal timing plan for the junction group. Simulation results show that the proposed algorithm is capable of dealing with real-time oversaturated traffic arterial control problem. The algorithm is tested in a simulation environment consisting of a core area of 7 junctions. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated intersection control strategy.

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“…To tackle the complex oversaturated traffic issues, researchers for TRANSYT-7F [34] introduced a penalty function to the queue in its performance index if blockages between lanes occur. This enhanced version also enables users to have the option of using multiple cycles or a stepwise simulation program to account for spillback affects.…”

Section: Introductionmentioning

confidence: 99%

A Macroscopic Signal Optimization Model for Arterials Under Heavy Mixed Traffic Flows

Chen

Chang

2014

IEEE Trans. Intell. Transport. Syst.

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This paper presents a generalized signal optimization model for arterials experiencing multiclass traffic flows. Instead of using conversion factors for nonpassenger cars, the proposed model applies a macroscopic simulation concept to capture the complex interactions between different types of vehicles from link entry and propagation, to intersection queue formation and discharging. Since both vehicle size and link length are considered in modeling traffic evolution, the resulting signal timings can best prevent the queue spillback due to insufficient bay length and the presence of a high volume of transit or other types of large vehicles. The efficiency of the proposed model has been compared with the benchmark program TRANSYT-7F under both passenger flows only and multiclass traffic scenarios from modest to saturated traffic conditions. Using the measures of effectiveness of the average-delay-per-intersection approach and the total arterial throughput during the control period, our extensive numerical results have demonstrated the superior performance of the proposed model during congested and/or multiclass traffic conditions. The success of the proposed model offers a new signal design method for arterials in congested downtowns or megacities where transit vehicles constitute a major portion of traffic flows.

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Signal Timing Optimization for Oversaturated Networks Using TRANSYT-7F

Cited by 46 publications

References 1 publication

Transit Signal Priority in Smart Cities

Transit Signal Priority in Smart Cities

A Hierarchy Control Algorithm and its application in Urban Arterial Control Problem

A Macroscopic Signal Optimization Model for Arterials Under Heavy Mixed Traffic Flows

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