The traffic behaviours of commuters may cause traffic congestion during peak hours. Advanced Traffic Information System can provide dynamic information to travellers. Due to the lack of timeliness and comprehensiveness, the provided information cannot satisfy the travellers’ needs. Since the assumptions of traditional route choice model based on Expected Utility Theory conflict with the actual ...

Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...

A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance, is addressed in this paper. The model reflects the situation in the real traffic that drivers usually adjust the current velocity by forecasting its velocities in a short time of future, in order to avoid the sharp deceleration. The fundamental diagram obtained by simulation shows the ability o...

The automated detection of atypical and critical traffic situations is essentially important to help to understand driver behaviour, to find functional correlations between traffic conflicts and real accidents, and eventually, to prevent, particularly severe accidents. In this paper, a tool chain is introduced that enables fully automated traffic situation detection in wide-area traffic on the ...

Advanced Traveler Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS) have the potential to contribute to the solution of the traffic congestion problem. However, for these systems to be effective, the generated strategies should be proactive (i.e. based on predicted traffic conditions) as opposed to reactive, in order to avoid many undesirable effects such as overreaction...

We present a fuzzy decision support system that can be used in traffic control centers to provide a limited list of appropriate combinations of traffic control measures for a given traffic situation. The system we describe is part of a larger traffic decision support system that can assist the operators of traffic control centers when they have to reduce non-recurrent congestion using a network...

Situation awareness in large-scale control systems such as road traffic management aims to predict critical situations on the basis of spatio-temporal relations between real-world objects. Such relations are described by domain-independent calculi, each of them focusing on a certain aspect, for example topology. The fact that these calculi are described independently of the involved objects, is...

In the paper novelty vehicle trajectories random field (VTRF) traffic representation dedicated to networked hard real-time traffic control systems is presented and illustrated by PIACON control method. It is emphasized that existing multiple type high spatial resolution satellite and air based imagery together with conventional video, laser, GPS, probe-vehicles technologies are sufficient for V...