Search results for "Traffic management"

ADAPT - Advanced Prediction Models for Trajectory-Based Operations (TBO)

2018

Previsione dell'inquinamento generato dalla mobilità veicolare e traffic management

2015

Questo studio s'inserisce in una più ampia attività di ricerca sulle correlazioni tra le concentrazioni dei principali agenti inquinanti e variabili relative sia alle condizioni meteorologiche, che ne possono favorire o meno la dispersione, sia al deflusso veicolare quale fonte primaria d'inquinamento. L'idea è quella di sviluppare una metodologia per la previsione a breve termine delle densità di quegli elementi per i quali la normativa prevede delle soglie in termini di concentrazioni medie orarie. Tutto ciò al fine di potersi avvalere, in futuro, di modelli e tecnologie per sapere, con qualche ora di anticipo, se in una determinata zona di un centro urbano, un giorno, possa verificarsi q…

Smart Wireless Sensor Networks and Biometric Authentication for Real Time Traffic Light Junctions Management

2013

The main challenge of intelligent transportation systems (ITS) is to deal with ‘real-time’ information to improve vehicular traffic management. Road data can be processed and used for dynamic traffic light management in order to reduce waiting times in queues. This paper proposes an innovative distributed architecture based on a wireless sensor network (WSN) with a network coordinator providing remote and ubiquitous authentication module for managing unexpected events. The architecture is completed by a dynamic module for street priority management depending on traffic rate. Many experimental trials have been carried out considering three different levels of traffic intensity to prove the e…

The forecasting of the roadside pollutant levels to evaluate traffic management measures in Palermo.

2015

The road transport has become the major source of environmental degradation in urban centres. It produces negative externalities (i.e. pollution, delay, etc.) that are usually connected with the queues of traffic flows and the congestion of the road network. The quantitative estimation of roadside pollutant levels is very complex. Many variables are involved such as the type of vehicle (characterized by different antipollution devices, used fuels, engine temperatures, maintenance level of engines, etc.), the different cinematic conditions of the flows, the urban/road network structure, the weather conditions, etc. Therefore it is important to develop scientific tools able to predict roadsid…