This work presents an algorithm for the optimization of urban traffic flow that computes the vehicle routes and traffic lights timing in real time. The optimization procedure uses a genetic algorithm whose fitness function consists of a high-level Petri net model of the urban traffic flow, which simulation results in the fitness value to be used. The outcome of this work is the optimization of ...

Computer simulation modeling is an established tool for assessing traffic operations. Over the past three decades, a variety of traffic simulation models have been developed, and many experiments and applications of these traffic simulation models to imaginary and real traffic operations have been conducted. This paper is intended to review widely used and newly developed models, in terms of mo...

one of the most important issues in urban planning is developing sustainable public transportation. the basic condition for this purpose is analyzing current condition especially based on data. data mining is a set of new techniques that are beyond statistical data analyzing. clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. the result of t...

Detecting and quantifying anomalies in urban traffic is critical for real-time alerting or re-routing in the short run and urban planning in the long run. We describe a two-step framework that achieves these two goals in a robust, fast, online, and unsupervised manner. First, we adapt stable principal component pursuit to detect anomalies for each road segment. This allows us to pinpoint traffi...

The possibility to enable cooperative concept in urban traffic systems is challenging because of large amount of traffic data that must be collected, processed and distributed to end users. The main objective is to establish communication between three main subsystems of traffic system: driver, vehicle and infrastructure so that they can cooperate in real time traffic environment. This paper de...

It is quit difficult to improve the performance of urban traffic signal control system efficiently by using traditional methods of modeling and control because of time-variability, non-linearity, fuzzyness and nondeterminacy in the system. It becomes the research hotspot in this area to apply artificial intelligence methods to urban traffic signal control system. This paper, based on analysis f...

A model predictive control (MPC) approach offers several advantages for controlling and coordinating urban traffic networks. To apply MPC in large urban traffic networks, a fast model that has a low on-line computational complexity is needed. In this paper, a simplified macroscopic urban traffic network model is proposed and tested. Compared with a previous model, the model reduces the computin...

This paper summarises European research into telematics for road transport in three main areas: urban applications, inter-urban applications and advanced vehicle control systems. Coverage of the current projects under the Fourth European Framework Programme (4FP) is described alongside key results from the earlier DRIVE I and DRIVE II programmes. The urban work includes new methods for traffic ...

Current GISs are not well adapted to the management of very dynamic geographical phenomena due to the lack of conceptual and physical interoperability with real-time computing facilities. The research described in this paper is oriented towards the identification and experimentation of a new methodological and applied framework for the real-time integration, manipulation and visualisation of ur...

Rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. In the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. With traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. Four s...