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.

Multi Layer Perception Type Artificial Neural Network based Traffic Control

Abstract: Real time traffic control is a main criteria of the urban traffic signal control system, and giving viable ongoing traffic signal control for a substantial complex traffic system is a testing issue. The objective of the work is to find and adjust the timing of signals based on the traffic density. Such a situation arises in a city where outbound vehicles during morning time and inbound vehicles during evening time is more while the vehicular movement in the opposite direction is less. To predict and adjust the timings of the signals on both sides of the road at the same time, Artificial Neural Network technique is used. A real time traffic survey of Light Motor Vehicle, Heavy Motor Vehicle, two and three wheeler vehicular movement in Thanjavur city is done. The number of vehicles (cars, auto, bikes, trucks and buses) and width of the road was given as a input and the output predicted was in terms of timing for the traffic signal at any particular place and for any particular width of the road. The width of the road is also taken into account which is essential in planning a city based traffic consisting of different road widths.

Estimation of Intersections Traffic Capacity Taking into Account Changed Traffic Intensity

Abstract: The factors affecting traffic intensity have been determined, and the situations of controlling traffic flows at city highways have been discussed taking into account actual traffic capacity of the roads. A concept of adaptability with respect to road traffic provision (RTP) has been given. The RTP system has been presented as a «black box» in the context system analysis. A dependence of determining indicator of adaptability of a signal-controlled intersection to the changed traffic flows has been proposed and the quantitative intervals making it possible to select intersections on the basis of actual duration of traffic-light control cycle have been acquired.

Modeling Traffic Flow Dynamics on Managed Lane Facility: Approach Based on Cell Transmission Model

Abstract: With the increasing attention paid to environmental effects and sustainable infrastructure, transportation agencies are now seeking more cost-effective and environmentally friendly countermeasures against traffic congestion than the traditional roadway expansion. Managed lane (ML) systems, as an innovative strategy for managing the roadway conditions in real time, have been gaining increasing popularity in the recent decade. However, the unique characteristics of ML facilities, such as the frictional effects between general purpose lanes (GPLs) and their adjacent ML, are not well studied and modeled. This paper investigates the interaction between GPLs and MLs, as buffer-separated ML facilities are readily affected by congestion in the adjacent GPLs. The frictional effect is quantified through development of speed-flow curves for the ML facility. A traffic flow model is developed on the basis of the cell transmission model incorporating this frictional effect to model the traffic evolution on the ML facil...

An Embedded Platform for Intelligent Traffic Control

Abstract: Safety and comfort of road users is fast becoming a matter of grave concern. The number of accidents on roads has shot up greatly with the increase in vehicle traffic, so has the race to build a safer and much more reliable system for traffic control and management. Traffic management rides on an extremely balanced equation. A change in timing of Traffic lights has adverse effects on traffic. A change applied too early may lead to congestion on other roads and a change too late may wreak havoc, long traffic jams, instance of road rage, accidents etc. The ideal automated traffic signal is yet to be built. This report presents an adaptive traffic control system where the traffic load is continuously measured by sensors connected to a micro controller-based system. The traffic lights of an area are interconnected with a communication network through which traffic load and synchronization information is exchanged. As a result, the duration of each traffic light cycle changes dynamically. This means that the timing of the traffic light changes according to the load, the side with the greatest load is given time wise priority.

Car capacity near bus stops with mixed traffic derived by additive-conflict-flows procedure

Abstract: To determinate car capacity at bus stops with mixed traffic, a new theoretical approach was developed on the basis of additive-conflict-flows procedure. The procedure was extended from homogeneous traffic flow to mixed traffic flow. The conflicts among cars, buses and bicycles near the stop can be described by the extended procedure. The procedure can be understood more easily than the theory of gap acceptance. Car capacity near the stop is the function of both bus stream and bicycle stream. The proposed model can also analyze the cases of pedestrian effects and limited priority of bicyclists. Numerical results show that the car capacity decreases with the increasing flow rates of other streams. In addition, pedestrian effects and bicyclist’s limited priority have negative effects on car capacity near bus stops with mixed traffic flow.