Implementation of Variable Speed Limits: Preliminary Test on Whitemud Drive, Edmonton, Canada

Wang, Xu; Seraj, Mudasser; Bie, Yuwei; Qiu, Tony Z.; Niu, Lei

doi:10.1061/(asce)te.1943-5436.0000895

Cited by 11 publications

(7 citation statements)

References 13 publications

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“…In this study, a 5-min prediction horizon was equivalent to a 15-step prediction, as length of each prediction time step (T ) was 20 s. The values of N p , N c , and T were selected based on previous research. 6 At each control horizon, these meter and speed limit rates were generated using a C++ program based on a decision tree-based solver.…”

Section: Micro-simulation Setupmentioning

confidence: 99%

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Integrated variable speed limit and ramp metering control study on flow interaction between mainline and ramps

Wang

Niu

2019

Advances in Mechanical Engineering

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During peak periods, bottlenecks are often triggered by excessive demand from both on-ramp and mainline input flows. To relieve bottleneck severity and improve traffic safety, ramp metering and variable speed limit are implemented to control the on-ramp and mainline input flows, and sometimes they are integrated. This article presents a proactive integrated control, with goals to save network-wide travel time and increase traffic flow. A METANET-based macroscopic traffic model was adopted as a prediction model. Micro-simulation tests were performed to evaluate and compare the control approaches among integrated and isolated control scenarios. By decoupling the traffic prediction and simulation models, the control error sources were analyzed. The evaluation revealed that both isolated and integrated controls benefit the traffic network to different extents under varying demand scenarios. Under proactive integrated control, ramp metering is activated solely during slight congestion; or it is activated during high-congestion periods to assist variable speed limit and thus integration maximizes the infrastructure utility.

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Section: Micro-simulation Setupmentioning

confidence: 99%

“…Over the past decade, several ATDM methods that incorporate real-time data collection and traffic control coordination have been implemented in the field. [1][2][3]6 So far, RM and VSL are the most commonly studied methods. RM is a ramp flow control that regulates on-ramp traffic flow entering the freeway mainline.…”

Section: Introductionmentioning

confidence: 99%

Integrated variable speed limit and ramp metering control study on flow interaction between mainline and ramps

Wang

Niu

2019

Advances in Mechanical Engineering

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“…Kotsialos et al [11] used the second-order traffic flow METANET model as a core model, which had good expression characteristics for VSL control. ese experiment results showed that advanced models can effectively improve the traffic capacity of road congested sections, including SCTM-METANET [12], proactive VSL based on Dyna TAM-VSL [13], a variety of vehicles model [14], and predictive control based on the cell transmission model [15].…”

Section: Introductionmentioning

confidence: 99%

Variable Speed Limit Control Method of Freeway Mainline in Intelligent Connected Environment

Wang

Zhang

Gou

et al. 2021

Journal of Advanced Transportation

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Freeway is an important component of transportation system. Bottleneck areas on freeway reduce driving safety and traffic efficiency. The development of intelligent connected technology provides a new idea for traffic management. In order to alleviate traffic congestion on the freeway bottleneck area, this paper proposes a variable speed limit (VSL) control method in intelligent connected environment. In this paper, the METANET model is improved by combining intelligent connected environment and VSL control theory. The total traffic capacity (TTC), total travel time (TTT), and total speed difference (TSD) are used to build multiobjective function. The microsimulation at SUMO by using the data from PeMS is employed as a case study to validate the proposed model. The results show that the VSL online control method in intelligent connected environment has better control effect. And the improvement is more obvious with increasing penetration rate of intelligent connected vehicle (ICV).

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“…In (2), the second term is referred to as the relaxation term, indicating that, with a lag time item , the mean speed V of the link "relaxes" to the desired speed, which largely depends on the parameters of the FD. The selection of the desired speed is critical in reflecting driver behavior, and, based on previous practice [28], the format of (4) was chosen. The third term is the convection term used to indicate that vehicles traveling from the upstream link − 1 to the current link adapt their speed gradually rather than instantaneously.…”

Section: Notations and Assumptionsmentioning

confidence: 99%

Improving Traffic State Prediction Model for Variable Speed Limit Control by Introducing Stochastic Supply and Demand

Bie

Seraj

Zhang

et al. 2018

Journal of Advanced Transportation

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Variable speed limit (VSL) is becoming recognized as an effective way to improve traffic throughput and road safety. In particular, methods based on traffic state prediction exhibit promising potential to prevent future traffic congestion and collisions. However, field observations indicate that the traffic state prediction model results in nonnegligible error that impacts the next step decision making of VSL. Thus, this paper investigates how to eliminate this prediction error within a VSL environment. In this study, the traffic state prediction model is a second-order traffic flow model named METANET, while the VSL control is model predictive control (MPC) based, and the VSL decision is discrete optimized choice. A simplified version of the switching mode stochastic cell transmission model (SCTM) is integrated with the METANET model to eliminate the prediction error. The performance of the proposed method is assessed using field data from a VSL pilot test in Edmonton, Canada, and is compared with the prediction results of the baseline METANET model during the road test. The results show that during the most congested period the proposed SCTM-METANET model significantly improves the prediction accuracy of regular METANET model.

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Implementation of Variable Speed Limits: Preliminary Test on Whitemud Drive, Edmonton, Canada

Cited by 11 publications

References 13 publications

Integrated variable speed limit and ramp metering control study on flow interaction between mainline and ramps

Integrated variable speed limit and ramp metering control study on flow interaction between mainline and ramps

Variable Speed Limit Control Method of Freeway Mainline in Intelligent Connected Environment

Improving Traffic State Prediction Model for Variable Speed Limit Control by Introducing Stochastic Supply and Demand

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