We develop a macroscopic model for mixed urban and freeway traffic networks that is particularly suited for control purposes. In particular, we use an extended version of the METANET traffic flow model to describe the evolution of the traffic flows in the freeway part of the network. For the urban network we propose a new model that is based on the Kashani model. Furthermore, we also describe t...

Traffic monitoring in urban areas is a complex issue and recent Remote Sensing technologies can play an important role in planning and monitoring the urban environment.In this studya semi-automatic object-oriented workflow was designedto detect moving vehicles and their speed from single pass WorldView-2 multispectral data.The time lag in data recording between each spectral band causes a small...

Intelligent Transport System (ITS) is a wide research area where Artificial Intelligence techniques are applied to traffic data. Traffic data may come from cameras. Traffic control should be adaptable to different environment, weather, and light conditions; in particular, urban scenes are particularly complex since the background condition is highly variable [1]. In approaching the design of a ...

This paper proposes an unsupervised abnormality detection method using a distributed video surveillance system in an intersection. Among the most important researches in intelligent transportation systems, especially in field of urban traffic management, automatically intersection flow monitoring is one of the critical and challenging tasks. The main focus of this paper is to analyse activities...

This paper discusses research-in-progress to develop a mobile, bus-mounted machine vision system for transit and traffic monitoring in urban corridors, as required by Intelligent Transportation Systems. In contrast to earlier machine vision technologies used for traffic management, which mainly rely on simple algorithms to detect certain traffic characteristics, the new proposed approach makes ...

Urban mobility became a major challenge around the world, with frequent congestion and ever growing travel time. Albeit recent advances in the area of Intelligent Transportation Systems (ITS), it is still difficult to predict and manage the road infrastructure due to dynamics and instability of the traffic. One key issue is how, given some traffic monitoring information, a vehicle decides to dy...

Crowd Sensing is a new business model which allows large number of smart phones to be used not only for exchanging information but also for activities that may have a huge social impact including traffic or road monitoring, urban planning, social networking and environmental monitoring. Here, we present a novel approach for developing a sensing application to collect a specific dataset where re...

objectives: to investigate the differences in death after receiving emergency services in traffic accidents between urban and rural regions, and decompose factors of the gap in langerood, northern iran. methods: this cross-sectional study was conducted in langrood, northern iran during a 1-year period from 2013 to 2014. the hospital data of traffic crashes were used. data contained those patien...