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.

Available concepts of energy reduction measures against road vehicular traffic

Abstract: The objective of the study is to discuss availability for reducing the energy consumed by vehicular traffic on road networks applying Intelligent Transportation Systems (ITS) technology. To satisfy this objective, the authors analyze energy consumption characteristics on actual road traffic conditions. A test car equipped with a measuring system is developed. Speed and fuel consumption rate is measured by each second, and collected to on-board Personal Computers. Experimental data are collected in various traffic situations on three kinds of roads: Metropolitan Expressway, 2-lane 2-way surface streets, and multi-lane surface streets in Tokyo Metropolis. Two models are proposed. Through these two models, three major factors for fuel economy are identified: duration of stopping time, average running speed and vehicle speed fluctuation.

Method for predicting traffic situation in wide road traffic space

Abstract: PROBLEM TO BE SOLVED: To predict a traffic situation of traffic space being a control object. SOLUTION: This method for predicting a traffic situation in wide road traffic space being a control object is provided with a first step for fetching traffic data in the traffic space, a second step for determining the positions of the whole vehicles existing in the traffic space after a sufficiently short time by checking traffic signal instruction information, a straightly advancing ratio, a right turning ratio and a left turning ratio defined foreseeingly, and space on straightly advancing road, space on a road to a left turn and space on a road to a right turn information, and a third step for controlling the second step so as to be repeated for a desired time. For this reason, a traffic situation of the whole traffic routs included in the traffic space of the object is predicted with high accuracy to be able to configure a control idea that eliminates and reduce congestion over the whole area.

Microscopic simulation analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Abstract: Mainstream Traffic Flow Control (MTFC) with Variable Speed Limits (VSL) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Recent studies in a macroscopic simulator have shown optimal and feedback MTFC potential to improve traffic conditions. In this paper, local feedback MTFC is applied in microscopic simulation for an on-ramp merge bottleneck. Traffic behavior reveals important aspects that had not been previously captured in macroscopic simulation. Mainly, the more realistic VSL application at specific points instead of along an entire freeway section produces a slower traffic response to speed limit changes. In addition, the nonlinear speed limit-flow relation observed in the microscopic model is more pronounced than what was observed at the macroscopic level. After appropriate modifications in the control law significant improvements in traffic conditions were obtained.

A Stochastic Model for Multilane Traffic Flow

Abstract: A probabilistic model to determine a variety of steady-state quantities describing the behavior of traffic on two-lane, four-lane, and six-lane highways is proposed. Faster cars form queues behind slower cars while waiting for an opportunity to pass; the occurrence of passing opportunities is governed by the characteristics of the traffic in adjacent lanes. The effects of entrances and exits, and of hills and curves on the traffic stream are also considered. Computational procedures are outlined and several sample calculations are made.