Tag «traffic data»

New ways of collecting urban freight traffic data and applications for urban freight policies and research

The current state of data on urban logistics traffic patterns is inadequate. The available data are often limited, inconsistent, outdated, and costly. Recent research explored innovative methods for collecting urban freight data and making it accessible to policymakers and researchers. It focuses on three case studies: Rotterdam (Netherlands), Brussels (Belgium), and Barcelona (Spain). These case …

Traffic data: the key to effective road traffic management

Floating car data (FCD) is commonly used to derive historic travel times on individual roads, as well as evaluate traffic data algorithms. FCD, which is GPS data obtained from navigation devices and applications, provides a vehicle’s location and speed to feed live automated traffic management systems with essential information. TomTom’s Nick Cohn writes about it on …

Will smart ICT solve the problems around the loading and unloading of goods?

Trucks and delivery vans driving around in circles looking for a place to park, and then double parking when they can’t find one – it’s something you see in every city. It’s inefficient and it’s a nuisance, both to the drivers themselves and to the local residents. Last year, a team of traffic experts from …

Research: using real time traffic data for city logistics in Amsterdam (NL)

Within the Accelerator TKI Dinalog program ten new consortia started to work on new research for knowledge and innovation in logistics in March 2017. One of the projects is ITSLOG. This project examines how real-time traffic data can be used for city logistics. The consortium is led by Amsterdam University of Applied Sciences (AUAS). Scientific …

The SmartDeliveries project in Lyon: optimizing urban freight with ITS

SmartDeliveries is a city-wide delivery rounds optimization system aiming at leveraging city traffic information to optimise professional vehicle rounds. This system has been developed as part of the OptimodLyon project in Lyon (F). One of the key features of the system is to integrate information of short and longer term expected mobility demand.