An optimization approach for freeway network coordinated traffic control and route guidance

Ma, Minghui; Liang, Shidong

doi:10.1371/journal.pone.0204255

Cited by 9 publications

(5 citation statements)

References 23 publications

(25 reference statements)

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“…e core of the coordinated control method is to dynamically select proper control means to equalize the bus headways, according to the prediction of control results. Because studies that predict the related parameters in bus systems are relatively mature [34][35][36][37][38][39][40][41], the evolution of bus systems can be predicted with these methods in practice. In addition, the estimations of urban traffic parameters are also sufficiently mature, e.g., travel speed and queue length at signalized intersection [42][43][44][45].…”

Section: Motivation Of Proposing the Coordinated Control Methodmentioning

confidence: 99%

Coordinated Headway-Based Control Method to Improve Public Transit Reliability considering Control Points Layout

Zhang

Liang

Zhao

et al. 2020

Journal of Advanced Transportation

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The headway-based control method is usually used to regulate the bus headways and improve reliability of public transit. In general, the holding control strategy is applied at the control point, because enough space for dwell longer at the control point is required, while the stop-skipping control strategy can be used at any bus stop. However, in the headway-based control method, too much stop-skipping will bring longer waiting time and make the passengers impatient. The number and distribution of control points for stop-skipping are not considered in previous self-equalizing bus headway control works. Therefore, in this paper, the control points selection rules for stop-skipping involving their number and distribution on the bus route are discussed. A second by second discrete system is formulated to describe the bus operation. In the proposed control method, the threshold value for activating stop-skipping strategy is raised, avoiding provoking much additional waiting time because of boarding rejected. In the numerical analysis, a set of cases are conducted to evaluate the performance of control method under different number and distribution of control points for stop-skipping. The numerical results show that distribution of control points for stop-skipping has a greater influence on the public transit than the number.

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Section: Motivation Of Proposing the Coordinated Control Methodmentioning

confidence: 99%

Coordinated Headway-Based Control Method to Improve Public Transit Reliability considering Control Points Layout

Zhang

Liang

Zhao

et al. 2020

Journal of Advanced Transportation

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“…In [13], Amini et al (2021) proposed a robust and accurate traffic congestion detection system utilizing a Hierarchical Fuzzy Rule-Based System (HFRBS) optimized by Genetic Algorithms (GA), effectively reducing input data size without losing information but with increased method complexity.…”

Section: Chen Et Al (2021) Inmentioning

confidence: 99%

Improving Detection and Prediction of Traffic Congestion in VANETs: An Examination of Machine Learning

S Jasim,

Zaghden,

Salim Bouhlel

2024

IJCDS

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Traffic congestion remains a pressing challenge in urban areas, causing significant economic and environmental repercussions. To address this issue, accurate detection and prediction of traffic congestion are imperative for effective traffic management and planning. This research study investigates the efficacy of Support Vector Machines (SVM) and various other machine learning algorithms in augmenting traffic congestion detection and prediction for Vehicular Ad hoc Networks (VANETs). Leveraging historical congestion patterns, we train and evaluate the performance of the algorithms. Our results demonstrate the potential of SVM, coupled with advanced feature engineering techniques, to outperform other methods in accurately identifying and forecasting traffic congestion. The SVM classifier achieved an impressive classification accuracy of 0.99, showcasing its effectiveness in handling diverse traffic scenarios. Additionally, the K-Nearest Neighbors (KNN) and Ensemble Learning classifiers also yielded commendable accuracies of 0.99. Notably, the Decision Tree (DT) classifier attained a perfect accuracy score of 1.00, indicating its robustness in handling congestion patterns. The proposed approach not only achieves high detection accuracy but also exhibits remarkable robustness and scalability, enabling its application across various traffic scenarios. These findings contribute significantly to the development of intelligent traffic management systems, providing valuable insights into optimizing transportation networks. Ultimately, implementing our approach holds the potential to alleviate congestion, enhance travel efficiency, and foster urban sustainability.

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“…A series of approaches integrating VSL control and freeway metering were proposed by constructing nonlinear constrained optimal control methods [23]. Although previous works proved the efficiency of the integrated control method [24][25][26], they ignored several important issues, such as how to balance the priority between mainline traffic and ramp traffic in the freeway merging region. Generally, when traffic congestion appears in the merging region, the on-ramp vehicles flowing into the merging region are limited until there is enough space in…”

Section: Traffic Flow Modelmentioning

confidence: 99%

A Dynamic Competition Control Strategy for Freeway Merging Region Balancing Individual Behaviour and Traffic Efficiency

Liang

Zhang

2020

PROMET

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An integrated control strategy is considered in this paper with the aim of solving congestion in freeway merging regions during peak hours. Merging regions discussed in this paper include the mainline and on-ramp. Traditional research mainly focuses on the efficiency of traffic, ignoring the experience of on-ramp drivers and passengers. Accordingly, a dynamic competition control strategy is proposed to balance individual behaviour and traffic efficiency. First, the concept of the congestion index is introduced, which is expressed by the queue length and the speed parameter of the merging region. The congestion index is used to balance the priorities of the vehicles from the mainline and on-ramp into the merging region in order to avoid poor individual behaviour of on-ramp drivers due to the long-time waiting. Additionally, a nonlinear optimal control approach integrating variable speed limits control and ramp metering is proposed to minimize the total time spent and the maximum traffic flow. The integrated control approach proposed in this paper is tested by simulation which is calibrated using field data. The results indicate that the integrated control approach can effectively shorten the total delay and enhance the traffic service level.

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An optimization approach for freeway network coordinated traffic control and route guidance

Cited by 9 publications

References 23 publications

Coordinated Headway-Based Control Method to Improve Public Transit Reliability considering Control Points Layout

Coordinated Headway-Based Control Method to Improve Public Transit Reliability considering Control Points Layout

Improving Detection and Prediction of Traffic Congestion in VANETs: An Examination of Machine Learning

A Dynamic Competition Control Strategy for Freeway Merging Region Balancing Individual Behaviour and Traffic Efficiency

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