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 …

Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …

This paper analyses the impact that the lockdown decreed by the Spanish Government to
combat the spread of COVID-19 has had on traffic accidents in Tarragona province (Spain) …

Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Traffic accidents impart both economic and social costs upon communities around the world,
hence the desire for accident rates to be reduced. For this reduction to occur, the factors …

Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …

Recently, technologies for predicting traffic conflicts in real-time have been gaining
momentum due to their proactive nature of application and the growing implementation of …

Background Various strategies to reduce the spread of COVID-19 including lockdown and
stay-at-home order are expected to reduce road traffic characteristics and consequently road …

Abstract Dedicated Lanes (DLs) have been proposed as a potential scenario for the
deployment of Automated and/or Connected Vehicles (C/AVs) on the road network …

Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …