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: A marine traffic complexity model is introduced to evaluate the status of traffic situation, use the complexity to investigate the degree of crowding and risk of collision, and support mariners and traffic controllers to get the traffic situation awareness.
74 citations
Journal Article•
TL;DR: A program of measuring the flow at traffic signals and the development of prediction methods are described, which update those in: TRAFFIC SIGNALS by F.V. Webster and B.M COBBE.
Abstract: DESCRIBES A COMPREHENSIVE PROGRAM OF MEASUREMENT OF SATURATION FLOW AT TRAFFIC SIGNALS AND THE DEVELOPMENT OF PREDICTION FORMULAS WHICH UPDATE THOSE IN: TRAFFIC SIGNALS BY F.V. WEBSTER AND B.M COBBE -- LONDON : HMSO, 1966
73 citations
TL;DR: The traffic capacity, the cycle times of the trains, and the number of trains needed to accomplish the transports are studied for certain regular traffic systems.
Abstract: In this paper a mathematical treatment of two-way traffic on a single line of railway is given. The traffic capacity, the cycle times of the trains, and the number of trains needed to accomplish the transports are studied for certain regular traffic systems.
72 citations
TL;DR: In this paper, the Lighthill-Whitham-Richards kinematic wave traffic flow model was extended to describe traffic with different types of vehicles, in which all vehicles are completely mixed and travel at the same group velocity.
Abstract: The Lighthill-Whitham-Richards kinematic wave traffic flow model was extended to describe traffic with different types of vehicles, in which all types of vehicles are completely mixed and travel at the same group velocity. A study of such a model with two vehicle classes (e.g., passenger cars and trucks) showed that when both classes of traffic have identical free-flow speeds, the model (a) satisfies the first-in-first-out rule, (b) is anisotropic, and (c) has the usual shock and expansion waves and a family of contact waves. Different compositions of vehicle classes in this model propagate along contact waves. Such models can be used to study traffic evolution on long crowded highways where low-performance vehicles entrap high-performance ones.
72 citations
TL;DR: G gap time, the time taken for a following vehicle to travel at its current speed the distance between its head position and the position of the rear of its leading vehicle, is introduced as a fundamental parameter for modeling some prominent features of congested traffic, namely the scatter of the fundamental diagram and the growth and decay of traffic disturbances on highways.
Abstract: We introduce in this paper gap time, the time taken for a following vehicle to travel at its current speed the distance between its head position and the position of the rear of its leading vehicle, as a fundamental parameter for modeling some prominent features of congested traffic, namely the scatter of the fundamental diagram and the growth and decay of traffic disturbances on highways. In the model, traffic waves propagate in a stochastic manner and their speeds are determined by the relative differences between gap times and the reaction times of drivers. The scatter on the fundamental diagram and the growth and decay of perturbations are explained by random fluctuations of gap time and random transitions of traffic states on the fundamental diagram, respectively. Empirical data are used to validate the model and the evaluation shows close correspondence between model predictions and field observations.
71 citations