If last decade viewed computational services as a utilitythen surely this decade has
transformed computation into a commodity. Computation is now progressively integrated …

Traffic congestion in urban road and freeway networks leads to a strong degradation of the
network infrastructure and accordingly reduced throughput, which can be countered via …

Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

Traffic congestion has become one of the most serious contemporary city issues as it leads
to unnecessary high energy consumption, air pollution and extra traveling time. During the …

In this paper, we propose a new model called the α-reliable mean-excess traffic equilibrium
(METE) model that explicitly considers both reliability and unreliability aspects of travel time …

We consider a specific advanced traveler information system (ATIS) whose objective is to
reduce drivers' time uncertainty with recurrent network congestion through provision of traffic …

The classical Wardrop User Equilibrium (UE) assignment model assumes traveller choices
are based on fixed, known travel times, yet these times are known to be rather variable …

The prediction of incident durations can facilitate incident management and support traveler
decisions. This paper develops a procedure for predicting incident durations. First, the …

This paper presents a multiclass, multicriteria (cost versus time) logit-based traffic
equilibrium assignment model in road networks served by advanced traveler information …

Transportation Engineering: Theory, Practice and Modeling is a guide for integrating multi-
modal transportation networks and assessing their potential cost and impact on society and …