Topic
Traffic wave
About: Traffic wave is a research topic. Over the lifetime, 2106 publications have been published within this topic receiving 62117 citations. The topic is also known as: phantom traffic jam & ghost jams.
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TL;DR: This work proposes a new class of molecular-dynamics like microscopic traffic models based on times to collisions and discusses the properties by means of analytical arguments that may help to understand the laminar and turbulent phases in the dynamics of stock markets as well as the transitions among them.
Abstract: Traffic flow at low densities (free traffic) is characterized by a quasi-one-dimensional relation between traffic flow and vehicle density, while no such fundamental diagram exists for ‘synchronized’ congested traffic flow. Instead, a two-dimensional area of widely scattered flow-density data is observed as a consequence of a complex traffic dynamics. For an explanation of this phenomenon and transitions between the different traffic phases, we propose a new class of molecular-dynamics like microscopic traffic models based on times to collisions and discuss the properties by means of analytical arguments. Similar models may help to understand the laminar and turbulent phases in the dynamics of stock markets as well as the transitions among them.
14 citations
TL;DR: A microscopic traffic simulation was used to determine the extent to which inter-vehicle communication and change in the driving strategy after the recognition of a shockwave can influence the propagation and dissolving of shockwaves on freeways.
Abstract: The rapid development of wireless communication and information technologies has increased research interests in inter-vehicle communication systems and their effect on traffic flow. One of the most complex traffic phenomena on freeways are shockwaves. Shockwaves are recognized as the sudden, substantial change in the state of the traffic flow, which acts as an active or moving bottleneck. They have significant impact on freeway capacity and safety. For this study, a microscopic traffic simulation was used to determine the extent to which inter-vehicle communication and change in the driving strategy after the recognition of a shockwave can influence the propagation and dissolving of shockwaves on freeways. We also briefly introduce the shockwave theory and our communication algorithm. Then we present the simulation result with different penetration rates of communicative vehicles, which are randomly dispersed in traffic flow, through performance measures for traffic flow with shockwaves.
14 citations
TL;DR: The Biham-Middleton-Levine model is improved by removing its limitation of synchronized change of traffic lights and in new model, the traffic light at each crossing could arbitrarily change its starting time and tempo of variation and hence the model could more realistically describe the influence of traffic Lights on the performance of traffic systems.
14 citations
01 Jan 1993
14 citations
15 May 2011
TL;DR: The impact of the network topology on traffic congestion by the improved mesoscopic traffic flow model is studied, and properties of the occurrence of traffic congestion are analyzed, which can raise the effective elimination of Traffic congestion control strategy as well as make reasonable transportation planning.
Abstract: The complexity science, as a new crossing discipline, have infiltrated many areas of traffic study. In recent years, studing the problem of urban traffic system with complex network theory offers a new perspective to investigate the generation and propagation of traffic congestion. This paper studies the impact of the network topology on traffic congestion by the improved mesoscopic traffic flow model, and analyzes properties of the occurrence of traffic congestion, which can raise the effective elimination of traffic congestion control strategy as well as make reasonable transportation planning.
14 citations