scispace - formally typeset
Search or ask a question
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.


Papers
More filters
Journal ArticleDOI
TL;DR: A basic model for two-dimensional time-dependent traffic flow is formulated and it is found that under standard assumptions as to routing and the location of trip end points, a strong peak hour occurs in the form of a shock wave.
Abstract: In this paper we formulate a basic model for two-dimensional time-dependent traffic flow. The model is designed specifically to relate to the morning peak period of commuter traffic, for which the underlying ideas are relatively unencumbered. The time variation of the point value of the “travel intensity at a given time point” is considered and also the global “wave movement” that peak hour traffic will exhibit—the peak hour will not be entirely synchronous at all points over the city. It is found that under standard assumptions as to routing and the location of trip end points, a strong peak hour occurs in the form of a shock wave. The effect of changes to the routing system and trip-end distribution is also considered.

6 citations

Journal Article

6 citations

01 Jan 2012
TL;DR: The impact of a cooperative law on traffic congestion appearance is investigated, analytically and through simulation, and the cooperative law helps reduce and delay traffic congestion as it increases traffic flow stability.
Abstract: The deployment of new emerging technologies, such as cooperative systems, allows the traffic community to foresee relevant improvements in terms of traffic safety and efficiency. Vehicles are able to communicate on the local traffic state in real time, which could result in an automatic and therefore better reaction to the mechanism of traffic jam formation. An upstream single hop radio broadcast network can improve the perception of each cooperative driver within radio range and hence the traffic stability. The impact of a cooperative law on traffic congestion appearance is investigated, analytically and through simulation. Ngsim field data is used to calibrate the Optimal Velocity with Relative Velocity (OVRV) car following model and the MOBIL lane-changing model is implemented. Assuming that congestion can be triggered either by a perturbation in the instability domain or by a critical lane changing behavior, the calibrated car following behavior is used to assess the impact of a microscopic cooperative law on abnormal lane changing behavior. The cooperative law helps reduce and delay traffic congestion as it increases traffic flow stability.

6 citations

01 Jun 1992
TL;DR: Preliminary results show that larger quantities of traffic are ``handled`` by fuzzy control methods then by conventional control methods, and the average time spent waiting in traffic decreases with the use of fuzzy control versus conventional control.
Abstract: This paper describes the graphical simulation of a traffic environment. The environment includes streets leading to an intersection, the intersection, vehicle traffic, and signal lights in the intersection controlled by different methods. The simulation allows for the study of parameters affecting traffic environments and the study of different control strategies for traffic signal lights, including conventional, fuzzy, and adaptive control methods. Realistic traffic environments are simulated including a cross intersection, with one or more lanes of traffic in each direction, with and without turn lanes. Vehicle traffic patterns are a mixture of cars going straight and making right or left turns. The free velocities of vehicles follow a normal distribution with a mean of the ``posted`` speed limit. Actual velocities depend on such factors as the proximity and velocity of surrounding traffic, approaches to intersections, and human response time. The simulation proves the be a useful tool for evaluating controller methods. Preliminary results show that larger quantities of traffic are ``handled`` by fuzzy control methods then by conventional control methods. Also, the average time spent waiting in traffic decreases with the use of fuzzy control versus conventional control.

6 citations

Journal ArticleDOI
TL;DR: The Lighthill–Whitham–Richards macroscopic traffic flow model discretized in both space and time was employed in the estimation scheme and the estimated density was corroborated with the density obtained from input–output analysis.
Abstract: Accurate estimation of traffic in intelligent transportation system applications, such as the advanced traveler information system and the advanced traffic management system, requires fixed location-based measurements, vehicle-based measurements, or both. Using both data sources is too expensive for most government agencies, especially in developing countries such as India, and also leads to issues related to installation and maintenance, especially on urban roads. The main drawback of vehicle-based measurements is the potential lack of participation because of privacy concerns; lack of participation would limit data collection to a sample of the population, primarily on public transport vehicles. The study aims to overcome such difficulties by using only location-based flow data for the estimation of spatial parameters, such as density and travel time. These parameters are difficult to measure or estimate on an urban arterial, especially under heterogeneous traffic conditions, because of lack of lane dis...

6 citations


Network Information
Related Topics (5)
Traffic flow
25.3K papers, 390.8K citations
90% related
Complex network
20.1K papers, 717.5K citations
72% related
Heuristic (computer science)
28K papers, 596K citations
71% related
Queueing theory
21.4K papers, 438.8K citations
69% related
Heuristic
23.1K papers, 565.2K citations
69% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202314
202237
202120
202017
201919
201822