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Searching through and selecting data sets from large traffic databases with sensor information is often a cumbersome manual process. In this paper we present an idea that may dramatically fasten and streamline this process. The idea is to build a fast search index (COSI: COngestion Search engIne) based on meta data in combination with features from the traffic patterns along routes. Instead of ploughing...
As an advancement vehicular traffic in urban areas, traffic congestion mitigation is a serious problem. In order to reduce traffic congestion at intersections intelligent signaling mechanisms required. This work proposes the design of a system that utilizes and efficiently manages traffic light controllers according to the congestion predicted at each line using real time data. At each signal change,...
Traffic congestion frequently occurs at main roads in Japan. Traffic congestion causes economic loss and makes energy efficient worse. Therefore untying traffic congestion is required. In Japan, vehicle information and communication system (VICS) is famous for a congestion avoidance system. However, VICS depends on infrastructures. On the other hand, vehicle ad hoc networks (VANETs) are independent...
Based on the massive floating car data and traffic flow detector data of intelligent movement platform, the average travel speed, the average delay per unit distance and the saturation of road sections are selected to build traffic congestion evaluation system. The accuracy of floating car data is validated with field observations of the typical roads in Guangzhou, the validation result shows that...
A scientific and effective traffic congestion evacuation plan plays an important part in improving the event reaction ability of the urban traffic system, as well as, saving travel time, reducing energy losses, and pollution. A new approach for real-time traffic congestion evacuation based on priority determination is proposed in this paper. Distinct from the well-studied traffic congestion degree,...
In order to improve the efficiency of traffic congestion detection algorithm, this paper proposes a method for application in traffic congestion identification and dispersion range estimation using gain methodology. The traffic data containing volume, speed and occupancy for testing were obtained from a real section and simulation system. The performance of automatic congestion identification (ACI)...
The development of information technology provide foundation to collect a large number of data for urban traffic management. These traffic data can be used to monitor traffic state surrounding the bottleneck and to analysis the evolution of the temporal and spatial rules of congestion. Based on the historical detector data, the new indexes have been proposed in this paper to evaluate the severity...
With a large number of traffic parameters data, it is an important issue that how to set up an efficient model of classification and prediction to identify the congestion state as soon as possible. The article provided a model of predicting traffic congestion based on the learn vector quantization neural network by making use of traffic parameters such as speed, volume and occupancy which were detected...
The green ratio model of Webster ignores the difference of traffic flow in different traffic state. The paper introduces an idea of traffic priority. It deals out more green time for the phase which has the highest traffic demand in oversaturated traffic, so as to prevent and clear off the crowded traffic flow as soon as possible. Each phase gets the priority by turns, so the improved green ratio...
In the widely used traditional control system, traffic coordination and control between regions are neglected. Regional boundarypsilas traffic control effect has direct influence on the input traffic flow control and output traffic flow control of the regions. In this paper, a traffic coordination and control model of regional boundary based on fuzzy control is proposed. Two fuzzy controllers are...
A semi-automated method has been developed for calibrating the parameters of a modified version of Daganzo's cell transmission model (CTM). A least-squares data fitting approach was applied to loop detector data to determine free-flow speeds, congestion-wave speeds, and jam densities for specified subsections of a freeway segment. Bottleneck capacities were estimated from measured mainline and on-ramp...
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