In this paper, a review of the main actions and policies that can be implemented to promote
sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not …

The traffic state in an urban transportation network is determined via spatio-temporal traffic
propagation. In early traffic forecasting studies, time-series models were adopted to …

The notion of hypothetical bias (HB) constitutes, arguably, the most fundamental issue in
relation to the use of hypothetical survey methods. Whether or to what extent choices of …

Traffic data mining applying machine learning algorithms is necessary to analyse and
understand the road traffic flow in busy cities. Also, it is very essential for making smart cities …

In the route choice problem, self-interested drivers aim at choosing routes that minimise
travel costs between their origins and destinations. We model this problem as a multiagent …

The advanced travel information system is a prominent intelligent transportation system for
which variable message signs (VMSs) are the major components. In Iran, more attention has …

Abstract We present the Information Comply Model (ICM) which extends the framework for
macroscopic within-day DTA proposed by Gentile (2016) to represent the rerouting of drivers …

Surveys with stated choice experiments (SCE) are widely used to derive values of time and
reliability for transport project appraisal purposes. However, such methods ask respondents …

A Collaborative Networked Organization (CNO) is a set of entities that operate in
heterogeneous contexts and aim to collaborate to take advantage of a business opportunity …

Strategic Routing is a traffic intervention mechanism. To reduce traffic in a certain area,
drivers are asked to take a pre-defined route diverting them from the area, even though this …