Lane‐based optimization of traffic equilibrium settings for area traffic control

Wong, C. K.; Wong, Stephen C. P.

doi:10.1002/atr.5670360308

Cited by 27 publications

(19 citation statements)

References 19 publications

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“…With regard to urban traffic signal control methods, reviews are given by Papageorgiou et al [11]. Traditional fixed-time strategies are studied extensively, including stage-based approach [12], group-based approach [13] and lane-based approach [14]. The stage structure is given in the first approach and is endogenous in the second approach.…”

Section: Using Real-time Data To Define Timings For Immediate Implemementioning

confidence: 99%

An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty

Ren

Huang

Cheng

et al. 2012

J of Advced Transportation

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SUMMARY Emergency evacuation in congested urban networks can be influenced by uncertain background travel demands, but this issue has not been fully investigated. In this study, evacuation links are prepared for exclusive use by evacuees. Under this assumption, an integrated model is proposed for determining flows on emergency evacuation routes and traffic signals at intersections in the presence of uncertain background travel demands. The problem is formulated as a bi‐objective bi‐level programming model based on the concept of robust optimization. It is assumed that background travel demands belong to an ellipsoidal likelihood region whose parameters are determined by a singly constrained gravity model. With the aim of maximizing the background traffic impact degree in the lower‐level model with a logit‐based stochastic assignment constraint and background demands constraint (the aforementioned ellipsoidal likelihood region), background traffic corresponding to worst‐case demands is determined by the Lagrange multiplier method. In the upper‐level model, two objectives, minimizing both the total travel time of evacuation flows and performance index of the whole network flows, are constructed to determine optimal evacuation flows and traffic signals. The Non‐dominated Sorting Genetic Algorithm II is employed to determine the Pareto solutions of this optimization problem. An example using Sioux Falls networks illustrates the validity of the algorithm. A field case involving the Jianye network around the Nanjing Olympics Sports Center shows the applicability of this algorithm. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Using Real-time Data To Define Timings For Immediate Implemementioning

confidence: 99%

An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty

Ren

Huang

Cheng

et al. 2012

J of Advced Transportation

View full text Add to dashboard Cite

show abstract

“…In the past few decades, traffic signal settings at signalcontrolled intersections have been optimized using different optimization frameworks, including the stage-based method [1][2][3][4], the group-based method [5][6][7][8][9][10][11][12], and the lane-based method [13][14][15][16]. Traffic signal settings are optimized by maximizing the overall intersection capacity or by minimizing the total intersection delay.…”

Section: Introductionmentioning

confidence: 99%

“…The lane-based method has also been extended and applied for traffic signal optimization in signalized road networks by using the peak hourly flow rates as demand flow inputs. Platoon dispersion is modeled to realize the effects of coordinated traffic signal settings across upstream and downstream intersections [15]. Han and Gayah [20] even developed a continuum model for dynamic traffic networks that considers offset, spillback, and multiple signal phases.…”

Section: Introductionmentioning

confidence: 99%

“…Short lanes will overflow. Existing lane-based traffic signal optimization tends to design longer green times and longer cycle lengths to maximize the overall intersection capacity [13][14][15][16]. To overcome this weakness, we propose a new set of refinements to modify the traffic signal settings at isolated intersections to prevent overflow.…”

Section: Introductionmentioning

confidence: 99%

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Refining Lane-Based Traffic Signal Settings to Satisfy Spatial Lane Length Requirements

Liu

Wong

2017

Journal of Advanced Transportation

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In conventional lane-based signal optimization models, lane markings guiding road users in making turns are optimized with traffic signal settings in a unified framework to maximize the overall intersection capacity or minimize the total delay. The spatial queue requirements of road lanes should be considered to avoid overdesigns of green durations. Point queue system adopted in the conventional lane-based framework causes overflow in practice. Based on the optimization results from the original lanebased designs, a refinement is proposed to enhance the lane-based settings to ensure that spatial holding limits of the approaching traffic lanes are not exceeded. A solution heuristic is developed to modify the green start times, green durations, and cycle length by considering the vehicle queuing patterns and physical holding capacities along the approaching traffic lanes. To show the effectiveness of this traffic signal refinement, a case study of one of the busiest and most complicated intersections in Hong Kong is given for demonstration. A site survey was conducted to collect existing traffic demand patterns and existing traffic signal settings in peak periods. Results show that the proposed refinement method is effective to ensure that all vehicle queue lengths satisfy spatial lane capacity limits, including short lanes, for daily operation.

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“…Example studies include Improta and Cantarella , Gallivan and Heydecker , and Silcock . The group‐based approach has also been extended to linked traffic signals and lane‐based signal timing problems . For a comprehensive review, the reader can refer to Wong et al .…”

Section: Introductionmentioning

confidence: 99%

Traffic signal timing problems with environmental and equity considerations

2013

J of Advced Transportation

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SUMMARYTraffic signal timings in a road network can not only affect total user travel time and total amount of traffic emissions in the network but also create an inequity problem in terms of the change in travel costs of users traveling between different locations. This paper proposes a multi-objective bi-level programming model for design of sustainable and equitable traffic signal timings for a congested signalcontrolled road network. The upper level of the proposed model is a multi-objective programming problem with an equity constraint that maximizes the reserve capacity of the network and minimizes the total amount of traffic emissions. The lower level is a deterministic network user equilibrium problem that considers the vehicle delays at signalized intersections of the network. To solve the proposed model, an approach for normalizing incommensurable objective functions is presented, and a heuristic solution algorithm that combines a penalty function approach and a simulated annealing method is developed. Two numerical examples are presented to show the effects of reserve capacity improvement and green time proportion on network flow distribution and transportation system performance and the importance of incorporating environmental and equity objectives in the traffic signal timing problems.

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Lane‐based optimization of traffic equilibrium settings for area traffic control

Cited by 27 publications

References 19 publications

An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty

An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty

Refining Lane-Based Traffic Signal Settings to Satisfy Spatial Lane Length Requirements

Traffic signal timing problems with environmental and equity considerations

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