Objective description of heterogeneous traffic flow patterns of passenger cars and trucks on long downhill sections in Kerner's three-phase traffic theory framework

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-02-01 Epub Date: 2024-12-28 DOI:10.1016/j.physa.2024.130331
Xiaojian Hu , Fengkai Yu
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Abstract

Because of their substantial weight, trucks frequently brake to control their speed on long downhill sections, placing a significant load on the brakes. After traveling a certain distance, this leads to degradation of the brake performance and poses a considerable traffic safety hazard. This study analyzes the energy transformation of trucks on long downhill sections using the law of energy conservation, and derives the relationship between brake performance and travel distance. Within the framework of Kerner's three-phase traffic theory, the impact of brake performance degradation on traffic flow in long downhill sections was studied. This model is based on the well-known Kerner–Klenov–Schreckeneberg–Wolf (KKSW) cellular automaton (CA) model. By comparing the traffic flow under different traffic volume and truck percentage scenarios, it was found that the synchronized flow generated under certain traffic volume and truck proportion conditions has a particularly significant impact upstream. Based on the simulation results, a lane segregation strategy is proposed for certain traffic volumes and truck percentages.
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Kerner三相交通理论框架下长下坡路段乘用车和货车异质性交通流模式的客观描述
由于卡车的巨大重量,在长下坡路段,卡车经常刹车来控制速度,这给刹车带来了很大的负担。行驶一定距离后,会导致制动性能下降,造成相当大的交通安全隐患。利用能量守恒定律分析了长下坡路段载货汽车的能量转换,推导了载货汽车制动性能与行驶距离的关系。在Kerner三相交通理论框架下,研究了长下坡路段制动性能退化对交通流的影响。该模型基于著名的Kerner-Klenov-Schreckeneberg-Wolf (KKSW)元胞自动机(CA)模型。通过比较不同车流量和车占比情景下的交通流,发现在一定车流量和车占比条件下产生的同步流对上游的影响尤为显著。在仿真结果的基础上,提出了一定交通量和卡车百分比下的车道隔离策略。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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