Optimal Variable Speed Limit Control in Connected Autonomous Vehicle Environment for Relieving Freeway Congestion

Yu, Miao; Fan, Wei

doi:10.1061/jtepbs.0000227

Cited by 29 publications

(29 citation statements)

References 43 publications

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“…In consideration of dynamic and static characteristics of different vehicle types, Lint et al [18] proposed the FASTLANE model by using dynamic PCEs (DPCES). Based on DPCEs, extended versions of multi-class METANET [21] and CTM [14] are proposed. These models mainly characterize mixed flows of cars and trucks.…”

Section: Traffic Prediction Modelmentioning

confidence: 99%

“…Compared with other models, CTM is computationally tractable and easy for us to analyze the evolution of traffic flow under traffic control [23]. The multi-class CTM based on DPCEs is suitable for online MPC control [14]. However, it does not consider LC behaviors between different lanes.…”

Section: Traffic Prediction Modelmentioning

confidence: 99%

“…The multi-lane CTM with FIFO property can improve the accuracy of traffic state estimation at the cost of computational complexity. To achieve a trade-off between the prediction accuracy and computational complexity, we therefore improve the multi-class CTM based on DPCEs in [14] to be a multi-class multi-lane CTM to make it more suitable for our integrated VSL and LC control. We refer to [14] for a full description of the multi-class CTM.…”

Section: Traffic Prediction Modelmentioning

confidence: 99%

“…Based on the collected traffic data, an improved multi-class cell transmission model (CTM) is used to predict traffic state during the receding horizon. We adopt the multi-class CTM proposed by Yu and An [14], for it can more truly reflect the heterogeneous nature of real traffic networks. However, it does not consider LC, so we improve it by considering LC control between different sub-cells to predict the density, speed, and flow rate in each sub-cell better.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Variable Speed Limits and Lane-Changing Control for Freeway Lane-Drop Bottlenecks

Guo

Zhang

et al. 2020

IEEE Access

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There are generally two kinds of traffic control strategies to relieve traffic congestion in lanedrop bottlenecks: variable speed limits (VSL) control and lane-changing (LC) control. However, VSL has limited or even no effect due to many mandatory LC maneuvers near bottlenecks, while LC fails to reduce traffic congestion when traffic demand is high. Although a few control methods combine VSL and LC, they do not consider the interaction between VSL and LC, which rules out many potentially good alternatives. We instead propose an integrated VSL and LC control method under a connected and automated vehicle (CAV) environment, which can consider the interaction and simultaneously find the values of LC numbers and speed limits to maximize traffic efficiency. Our control is in the framework of the model predictive control (MPC), which consists of prediction, optimization, and implementation. We adopt an improved multiclass cell transmission model (CTM) for traffic state prediction, then use the genetic algorithm (GA) for optimization which optimizes traffic network performance, and implement our control method in the SUMO platform. Simulation results demonstrate that our control method greatly improves the capacity of the road and is robust to different traffic demands and scenarios. Our control outperforms no control and VSL-only control in travel time and exhaust emissions, which reduces total travel time by 23.86% to 44.62% and exhaust emissions by 10.29% to 48.19%. INDEX TERMS Connected and automated vehicles (CAVs), lane-changing (LC) control, lane-drop bottlenecks, variable speed limits (VSL).

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Section: Traffic Prediction Modelmentioning

confidence: 99%

Section: Traffic Prediction Modelmentioning

confidence: 99%

Section: Traffic Prediction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated Variable Speed Limits and Lane-Changing Control for Freeway Lane-Drop Bottlenecks

Guo

Zhang

et al. 2020

IEEE Access

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“…e implementation effect indicates that VSL has a great impact on improving road traffic safety and alleviating traffic congestion [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Traffic Flow Modeling of Freeway Variable Speed Limit Control Based on the Big Data of Driving Behavior

et al. 2020

Journal of Advanced Transportation

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Variable speed limit (VSL) control is a flexible restriction on the rate at which motorists can drive on a given stretch of road. Effective VSL control can increase safety and provide clear guidance for motorists. Previous traffic flow models of VSL control were mostly based on the influence of VSL on average speed (macro) or driver’s expected speed (micro). Few models considered the influence of VSL on driver’s actual driving behavior. In this paper, we first briefly introduce the big traffic data involved in this study and explain the mapping relationship between the data and driving behavior. Then, we analyze the driver’s actual driving behavior under the VSL control. Then, an improved single-lane cellular automaton model is established based on the driving behavior characteristics under VSL control. After that, we calibrate the parameters of the single-lane cellular automaton model with the left lane as the calibration object. Finally, this paper uses the proposed single-lane cellular automaton model to simulate the traffic flow characteristics under VSL control. The numerical simulation results show that the simulation of the variable speed limit in different density intervals presents different results, but these results are consistent with the actual situation of variable speed limit control, which verifies the validity of the proposed model.

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Variable speed limit control strategy at the entrance and exit of freeway tunnel

Ma,

Guo,

Zhao

2023

Physica A: Statistical Mechanics and its Applications

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Optimal Variable Speed Limit Control in Connected Autonomous Vehicle Environment for Relieving Freeway Congestion

Cited by 29 publications

References 43 publications

Integrated Variable Speed Limits and Lane-Changing Control for Freeway Lane-Drop Bottlenecks

Integrated Variable Speed Limits and Lane-Changing Control for Freeway Lane-Drop Bottlenecks

Traffic Flow Modeling of Freeway Variable Speed Limit Control Based on the Big Data of Driving Behavior

Variable speed limit control strategy at the entrance and exit of freeway tunnel

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