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首页> 外文期刊>Promet-traffic & transportation >HIGH OCCUPANCY VEHICLE LANES AND TRADABLE CREDITS SCHEME FOR TRAFFIC CONGESTION MANAGEMENT A BILEVEL PROGRAMMING APPROACH
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HIGH OCCUPANCY VEHICLE LANES AND TRADABLE CREDITS SCHEME FOR TRAFFIC CONGESTION MANAGEMENT A BILEVEL PROGRAMMING APPROACH

机译：用于交通拥堵管理的高占用率车辆车道和可交易积分方案

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摘要

High-occupancy vehicle (HOV) lanes, which are designed so as to encourage more people to use high-capacity travel modes and thus move more people in a single roadway lane, have been implemented as a lane management measure to deal with the growing traffic congestion in practice. However, the implementation has shown that some HOV lanes are not able to achieve the expected effects without proper HOV lane settings. In this study, the tradable credits scheme (TCS) is introduced to improve the HOV lane management and an optimal capacity of HOV lanes in a multilane highway is investigated to match TCSs. To approach the investigation, a bilevel programming model is proposed. The upper-level represents the decision of the highway authority and the lower-level follows the commuters' user equilibrium with deterministic demand. The potential influence of TCSs is further investigated within the proposed framework. A modified genetic algorithm is proposed to solve the bilevel programming model. Numerical examples demonstrate that combining TCSs with the HOV lane management can obviously mitigate traffic congestion.
机译：高车道（HOV）的设计旨在鼓励更多的人使用大容量的出行方式，从而在一条车道上移动更多的人，这已被用作车道管理措施来应对不断增长的交通在实践中出现拥塞。但是，该实施方案表明，如果没有正确的HOV车道设置，某些HOV车道将无法获得预期的效果。在这项研究中，引入可交易积分方案（TCS）来改善HOV车道管理，并研究了多车道高速公路中HOV车道的最佳容量以匹配TCS。为了进行调查，提出了一种双层编程模型。上级代表高速公路主管部门的决定，下级代表通勤者的用户均衡和确定性需求。在提出的框架内将进一步研究TCS的潜在影响。提出了一种改进的遗传算法来求解双层规划模型。数值算例表明，将TCS与HOV车道管理相结合可以明显缓解交通拥堵。

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