This book explores the behavior of networks of electric and hybrid vehicles. The topics that
are covered include: energy management issues for aggregates of plug-in vehicles; the …

We present a new approach to lightweight intelligent transportation systems. Our approach
does not rely on traditional expensive infrastructures, but rather on advanced machine …

Traffic monitoring is a key enabler for several planning and management activities of a
Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable …

This paper describes a Markov-chain-based approach to modelling multi-modal
transportation networks. An advantage of the model is the ability to accommodate complex …

The problem of reconstructing the origin-destination matrix for transport following fixed
routes is studied. Estimates are based on statistics on passengers entering and leaving at …

The method of estimating origin-destination matrices of correspondence using observational
data on traffic flows based on the Markov chain theory is considered in this paper. The …

The estimation of freight trip distribution is an important issue in freight transport studies, and
collecting data on the spatiotemporal aggregated number of freight vehicles without trip …

Citywide traffic flow is essential for the urban traffic planning, traffic signal control, and
automotive emission management. However, it is impractical to directly detect the traffic flow …

We develop theoretical and computational tools which can appraise traffic flow models and
optimize their performance against current time-series traffic data and prevailing conditions …

Collective graphical models (CGMs) provide a framework for reasoning about a population
of independent and identically distributed individuals when only noisy and aggregate …