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Keywords = dynamic lane reversal strategy

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21 pages, 1343 KiB  
Review
Efficient Operation of Metropolitan Corridors: Pivotal Role of Lane Management Strategies
by Ana Maria Rivadeneira, Juan Benavente and Andres Monzon
Future Transp. 2024, 4(3), 1100-1120; https://doi.org/10.3390/futuretransp4030053 - 20 Sep 2024
Viewed by 1352
Abstract
Lane management strategies are vital for solving traffic congestion and improving transportation efficiency in metropolitan corridors. These corridors, which facilitate economic and social interactions by connecting major urban areas, face significant challenges such as congestion, environmental concerns, and the need for sustainable growth. [...] Read more.
Lane management strategies are vital for solving traffic congestion and improving transportation efficiency in metropolitan corridors. These corridors, which facilitate economic and social interactions by connecting major urban areas, face significant challenges such as congestion, environmental concerns, and the need for sustainable growth. Effective lane management involves techniques such as HOV lanes, HOT lanes, reversible lanes, and dynamic toll pricing, which have been implemented worldwide. This study addresses the questions ‘What are the benefits and limitations of lane management strategies in metropolitan corridors?’ and ‘When should decision-makers consider implementing lane management strategies in a metropolitan corridor?’ This paper aims to evaluate lane management strategies to increase the multimodal efficiency of metropolitan corridors. A systematic literature review of case studies reveals that while these strategies significantly reduce congestion and emissions, they also face road safety, compliance, and public resistance issues. In addition, gaps in existing research on metropolitan corridors and lane management will be identified, and areas for future research are proposed. The impacts of new societal trends and evolving urban planning concepts are examined. The study highlights the need for adaptive planning and innovative solutions. Full article
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<p>The methodological framework of the review process.</p>
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<p>Co-occurrences network based on the abstracts of the literature reviewed for this work.</p>
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<p>Lane Management Strategies.</p>
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10 pages, 4529 KiB  
Article
Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
by Wenting Li, Jianqing Li and Di Han
Sensors 2023, 23(17), 7402; https://doi.org/10.3390/s23177402 - 25 Aug 2023
Cited by 2 | Viewed by 1328
Abstract
Route guidance strategies are an important part of advanced traveler information systems, which are a subsystem of intelligent transportation systems (ITSs). In previous research, many scholars have proposed a variety of route guidance strategies to guide vehicles in order to relieve traffic congestion, [...] Read more.
Route guidance strategies are an important part of advanced traveler information systems, which are a subsystem of intelligent transportation systems (ITSs). In previous research, many scholars have proposed a variety of route guidance strategies to guide vehicles in order to relieve traffic congestion, but few scholars have considered a strategy to control transportation infrastructure. In this paper, to cope with tidal traffic, we propose a dynamic lane reversal strategy (DLRS) based on the density of congestion clusters over the total road region. When the density reaches 0.37, the reversible lane converts to the opposite direction. When the density falls off to below 0.22, the reversible lane returns back to the conventional direction. The simulation results show that the DLRS has better adaptability for coping with the fluctuation in tidal traffic. Full article
(This article belongs to the Special Issue Sensors and Artificial Intelligence)
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<p>A two-way undivided road with six lanes.</p>
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<p>(<b>a</b>) Green logo and (<b>b</b>) red logo.</p>
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<p>(<b>a</b>) Road sectional view at S after reversing lane D. (<b>b</b>) Road sectional view at S after reversing lane C.</p>
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<p>A two-way undivided road is separated into two regions.</p>
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<p>(Color online) (<b>a</b>) Plot ratio. (<b>b</b>) Quantity. (<b>c</b>) Speed.</p>
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<p>(Color online) Comparison of (<b>a</b>) average flux, (<b>b</b>) total average flux, (<b>c</b>) average speed, and (<b>d</b>) total average speed of different strategies with the start time of rush hour at 5000 time steps and the duration of rush hour being 3000 time steps.</p>
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<p>(Color online) Comparison of (<b>a</b>) average flux, (<b>b</b>) total average flux, (<b>c</b>) average speed, and (<b>d</b>) total average speed of different strategies with the start time of rush hour at 7000 time steps and the duration of rush hour being 3000 time steps.</p>
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<p>(Color online) Comparison of (<b>a</b>) average flux, (<b>b</b>) total average flux, (<b>c</b>) average speed, and (<b>d</b>) total average speed of different strategies with the start time of rush hour at 6000 time steps and the duration of rush hour being 2000 time steps.</p>
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<p>(Color online) Comparison of (<b>a</b>) average flux, (<b>b</b>) total average flux, (<b>c</b>) average speed, and (<b>d</b>) total average speed of different strategies with the start time of rush hour at 6000 time steps and the duration of rush hour being 4000 time steps.</p>
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18 pages, 13059 KiB  
Article
Research on Model Predictive Control for Automobile Active Tilt Based on Active Suspension
by Jialing Yao, Meng Wang, Zhihong Li and Yunyi Jia
Energies 2021, 14(3), 671; https://doi.org/10.3390/en14030671 - 28 Jan 2021
Cited by 19 | Viewed by 3057
Abstract
To improve the handling stability of automobiles and reduce the odds of rollover, active or semi-active suspension systems are usually used to control the roll of a vehicle. However, these kinds of control systems often take a zero-roll-angle as the control target and [...] Read more.
To improve the handling stability of automobiles and reduce the odds of rollover, active or semi-active suspension systems are usually used to control the roll of a vehicle. However, these kinds of control systems often take a zero-roll-angle as the control target and have a limited effect on improving the performance of the vehicle when turning. Tilt control, which actively controls the vehicle to tilt inward during a curve, greatly benefits the comprehensive performance of a vehicle when it is cornering. After analyzing the advantages and disadvantages of the tilt control strategies for narrow commuter vehicles by combining the structure and dynamic characteristics of automobiles, a direct tilt control (DTC) strategy was determined to be more suitable for automobiles. A model predictive controller for the DTC strategy was designed based on an active suspension. This allowed the reverse tilt to cause the moment generated by gravity to offset that generated by the centrifugal force, thereby significantly improving the handling stability, ride comfort, vehicle speed, and rollover prevention. The model predictive controller simultaneously tracked the desired tilt angle and yaw rate, achieving path tracking while improving the anti-rollover capability of the vehicle. Simulations of step-steering input and double-lane change maneuvers were performed. The results showed that, compared with traditional zero-roll-angle control, the proposed tilt control greatly reduced the occupant’s perceived lateral acceleration and the lateral load transfer ratio when the vehicle turned and exhibited a good path-tracking performance. Full article
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<p>Steer–roll dynamic model of the full vehicle.</p>
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<p>Block diagram of the active tilt control system.</p>
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<p>Front-wheel steering angle.</p>
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<p>Time-domain response of the centrifugal moment of the vehicle.</p>
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<p>Time-domain response of the gravity moment of the vehicle.</p>
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<p>Roll angle of the vehicle body.</p>
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<p>Perceived lateral acceleration.</p>
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<p>Lateral load transfer ratio.</p>
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<p>Left suspension control force.</p>
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<p>Yaw rate.</p>
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<p>Side-slip angle of the vehicle center of gravity.</p>
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<p>Left suspension deflection.</p>
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<p>Left tire displacement.</p>
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<p>Front-wheel steering angle.</p>
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<p>Time-domain response of the vehicle centrifugal moment.</p>
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<p>Time-domain response of the vehicle gravity moment.</p>
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<p>Roll angle of the vehicle body.</p>
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<p>Yaw rate.</p>
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<p>Side-slip angle of the vehicle center of gravity.</p>
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<p>Perceived lateral acceleration.</p>
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<p>Lateral load transfer ratio.</p>
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