Based on fluid-dynamic and many-particle (car-following) simulations of traffic flows in (urban) networks, we study the problem of coordinating incompatible traffic flows at intersections. Inspired by the observation of self-organized oscillations of pedestrian flows at bottlenecks, we propose a selforganization approach to traffic light control. The problem can be treated as a multi-agent prob...

In optical WDM mesh networks, traffic grooming is essential in order to utilize the bandwidth efficiently to minimize the cost and meet the user service requirement. By grooming traffic, it is possible to reduce the total cost of all Add drop multiplexer needed. Also for the high processing capability in a WDM network, the path should be capable of carrying the traffic without any failure. In t...

This paper studies the impacts of vehicular communications on efficiency of traffic in urban areas. We consider a Green Light Optimized Speed Advisory (GLOSA) application implementation in a typical reference area, and present the results of its performance analysis using an integrated cooperative ITS simulation platform. In addition, we study route alternation using Vehicle to Infrastructure (...

This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing time of one vehicle within green light time period are measured in the main-line and sub-line of a selected crossroad. Then, the measured data are adopted to construct an estimation method based on ENN for recognizing th...

This paper presents a video-based system methodology for automatic red light runner detection on an image sequence. It extracts information regarding the state of the traffic light and vehicle motions without any physical or electronic connections to the traffic light control system or the buried loop detectors. The new methodology detects vehicle motions based on the virtual loop detector conc...

A development of an integrated intelligent traffic light (IITL) system necessary because today’s traffic light controllers are basically microcontroller and microprocessor based. These systems use the predefined program that does not have the flexibility of modification on real time application. Hence these systems have many disadvantages. The present traffic system have fixed time interval for...

Road traffic congestion in modern cities has become essential problem which need to be solved. To solve this problem, we have proposed a dynamic traffic light controller system based on image processing. Images (the road-images) used in this research are taken by digital camera placed at fixed position in the traffic-light with specific resolution and distance. The taken images will be analyzed...

Accident analysis and studies on traffic revealed that cyclists' violation of red-light regulation is one typical infringement committed by cyclists. Furthermore, an association between cyclists' crash involvement and red-light violations has been found across different countries. The literature on cyclists' psychosocial determinants of red-light violation is still scarce. The present study, ba...

We consider a queue fed by a mixture of light-tailed and heavytailed traffic. The two traffic classes are served in accordance with the Generalized Processor Sharing (GPS) discipline. GPS-based scheduling algorithms, such as Weighted Fair Queueing (WFQ), have emerged as an important mechanism for achieving service differentiation in integrated networks. We derive the asymptotic workload behavio...