Influence of tidal lane on traffic breakdown and spatiotemporal congested patterns at moving bottleneck in the framework of Kerner’s three-phase traffic theory

Hu, Xiaojian; Lin, Chenxi; Hao, Xiatong; Lu, Ruiying; Liu, Tenghui

doi:10.1016/j.physa.2021.126335

Cited by 10 publications

(5 citation statements)

References 36 publications

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“…Conceicao et al introduced the reversible lane network design problem, formulated in mixed-integer nonlinear mathematical programming for both the trafc assignment and the reversible lane decisions [26]. Hu et al established a bilateral six-lane motorway model with the tidal lane model based on the well-known Kerner-Klenov-Schreckeneberg-Wolf (KKSW) Cellular Automaton (CA) model [27]. Zhou et al proposed a dynamic allocation model for reversible lanes for road sections and intersections in the intelligent vehicle-infrastructure cooperative system (IVICS) [28].…”

Section: Research On Reversible Lane Switching Control Strategiesmentioning

confidence: 99%

A Collaborative Method on Reversible Lane Clearance and Signal Coordination Control in Associated Intersection

Xie

Dong

et al. 2023

Journal of Advanced Transportation

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To improve traffic efficiency and utilization of road resources and alleviate traffic congestion caused by imbalance of bidirectional traffic flow, in view of the conversion conditions of reversible lane function, the operating characteristics of associated intersections under dynamic reversible lanes are analysed in terms of capacity, and a reversible lane control model is constructed based on short-term traffic flow prediction. On this basis, the reversible lane segment clearing time and upstream and downstream signal control strategies under different states are studied. The collaborative control model of reversible lane clearing time and signal timing of associated intersections is established to obtain the optimal time for reversible lane function switching. Finally, using Chaoyang Road, Beijing, as an example, the effectiveness of the proposed model is verified by the simulation indexes of average vehicle delay and reversible lane clearing time. The results show that the optimized clearing efficiency exceeds 15% and the optimized average vehicle delay is reduced by more than 10%. Combined with the future traffic state, the traffic capacity and saturation flow are greatly improved, and the intelligent reversible lane control is better achieved.

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Section: Research On Reversible Lane Switching Control Strategiesmentioning

confidence: 99%

A Collaborative Method on Reversible Lane Clearance and Signal Coordination Control in Associated Intersection

Xie

Dong

et al. 2023

Journal of Advanced Transportation

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“…Wang et al (2020) analyzed the impact of the effects before and after implementing a reversible lane [ 28 ]. Hu et al (2021) studied the positive influence of tidal lane on relieving upstream congestion induced by a moving bottleneck and the negative effect of a moving bottleneck on a tidal lane [ 29 ]. Fu et al (2021) developed a direction-changeable lane-based cell transmission model to find an optimal DLR scheme for a roadway segment with stochastic traffic flow in both directions [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes

Dong,

Xie,

et al. 2024

Sensors

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To address traffic flow fluctuations caused by changes in traffic signal control schemes on tidal lanes and maintain smooth traffic operations, this paper proposes a method for controlling traffic signal transitions on tidal lanes. Firstly, the proposed method includes designing an intersection overlap phase scheme based on the traffic flow conflict matrix in the tidal lane scenario and a fast and smooth transition method for key intersections based on the flow ratio. The aim of the control is to equalize average queue lengths and minimize average vehicle delays for different flow directions at the intersection. This study also analyses various tidal lane scenarios based on the different opening states of the tidal lanes at related intersections. The transitions of phase offsets are emphasized after a comprehensive analysis of transition time and smoothing characteristics. In addition, this paper proposes a coordinated method for tidal lanes to optimize the phase offset at arterial intersections for smooth and rapid transitions. The method uses Deep Q-Learning, a reinforcement learning algorithm for optimal action selection (OSA), to develop an adaptive traffic signal transition control and enhance its efficiency. Finally, a simulation experiment using a traffic control interface is presented to validate the proposed approach. This study shows that this method leads to smoother and faster traffic signal transitions across different tidal lane scenarios compared to the conventional method. Implementing this solution can benefit intersection groups by reducing traffic delays, improving traffic efficiency, and decreasing air pollution caused by congestion.

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“…Currently, most of the research on microscopic traffic simulation models based on connected and autonomous technology is built upon existing traffic flow models, combined with assumptions about the operational characteristics of CAVs. Regarding the following characteristics of heterogeneous traffic flow, the existing studies mainly approach analysis using single-type car-following models [40][41][42][43][44][45][46][47][48]. Li et al [49] proposed a following model based on multiple headway, velocity difference, and acceleration difference.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Connected and Autonomous Vehicle Platoon’s Length on Expressway Traffic Flow Characteristics Based on Symmetry Lane Changing Rules

Luo,

Qian,

Zeng

et al. 2023

Symmetry

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This study mainly investigates the maximum length of CAV (Connected and Autonomous Vehicle) platoons in a heterogeneous traffic flow environment. By employing MATLAB to simulate the heterogeneous traffic flow on expressways, this study focuses on the maximum platoon length of CAV platoons and explores their impact on the traffic flow characteristics on expressways. Firstly, based on four different car-following modes of heterogeneous traffic flow, F-STCA (Flexible–Symmetric Two-Lane Cellular Automata Model) and the symmetric lane-changing strategy, the study refines and improves the construction of the NaSch (Nagel and Schreckenberg) model introduced into the Gipps safety distance formula. The whole improvement process is based on the acceleration decay characteristics of vehicles on expressway. Secondly, the congestion situations under different maximum platoon lengths are compared using fundamental heat maps of the simulation data. The evolution of the fundamental diagram with changes in maximum platoon length is studied to investigate the impact and magnitude of maximum platoon lengths on the road capacity under different CAV permeabilities. Finally, the study explores the stability and safety of heterogeneous traffic flow involving CAV platoons using SD (Standard Deviation) and TERCRI (Time-Exposed Rear-End Collision Risk Index). The results show that when the CAV’s permeability does not reach a high level on heavily trafficked sections of the expressway, considering the overall average speed, the maximum platoon length should not be set too long and should be around five vehicles. This restriction does not apply when the CAV permeability approaches 100%.

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Influence of tidal lane on traffic breakdown and spatiotemporal congested patterns at moving bottleneck in the framework of Kerner’s three-phase traffic theory

Cited by 10 publications

References 36 publications

A Collaborative Method on Reversible Lane Clearance and Signal Coordination Control in Associated Intersection

A Collaborative Method on Reversible Lane Clearance and Signal Coordination Control in Associated Intersection

OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes

The Impact of Connected and Autonomous Vehicle Platoon’s Length on Expressway Traffic Flow Characteristics Based on Symmetry Lane Changing Rules

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