Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

Despite the simplicity and practicality of (deterministic) fundamental diagram models in
highway traffic flow theory, the wide scattering effect observed in empirical data remains …

Travel time is an effective measure of roadway traffic conditions. The provision of accurate
travel time information enables travelers to make smart decisions about departure time …

Modern transportation systems aim at maximizing the use of available resources in a
sustainable manner to deliver efficient and safe movement of traffic. Variable Speed Limit …

In this paper, we evaluate the performance of a dynamic approach to classifying flow
patterns reconstructed by a switching-mode macroscopic flow model considering a …

Saturation degree estimation is a vital problem of signal timing optimization. However,
classic loop-detector-based algorithms are not capable to capture the severity of …

In this paper, a dynamic approach to specify flow pattern variations simulated by a
multimode macroscopic flow model is followed, incorporating the neural network theory to …

In practice, most of the intelligent transportation systems provide average travel times of all
vehicles on selected paths in real time on a regular basis. However, path travel times of …

Optimal sensor placement on freeway corridor is of great interest to transportation
authorities. However, current traffic sensors are easily subject to various failures. Therefore …

Congestion on freeways restrains its ability to provide smooth traffic flow. Normally
congestion occurs when traffic volumes are considerably greater than the link capacity …