Detecting regional spatial structures based on spatial interactions is crucial in applications ranging from urban planning to traffic control. In the big data era, various movement trajectories are available for studying spatial structures. This research uses large scale Shanghai taxi trip data extracted from GPS-enabled taxi trajectories to reveal traffic flow patterns and urban structure of t...

Problem statement: The problem of urban traffic noise pollution is universal and in the past few decades it has grown to the point that it has become a major concern for both the public and the policy-makers. Approach: In a comprehensive 18 month research project, traffic-generated noise was monitored at 47 roadway locations in fourteen districts in metropolitan Kuwait in 2004-2005. Simultaneou...

BACKGROUND Numerous epidemiological studies have shown that air pollution due to both industry and heavy traffic has short- and long-term effects on health. The study was carried out in an industrial area with heavy urban and motorway traffic in the Province of Genoa (Italy). METHODS The study was carried out from June 2005 to July 2008. An epidemiologic study was conducted by monitoring an e...

The Robust and reliable traffic information detection from images acquired by traffic surveillance system is an important problem with numerous applications including adaptive traffic signal control system and traffic analysis system. This paper describes an application of computer vision techniques to traffic surveillance. The objective in this paper is to improve the efficiency of traffic flo...

In the world of transport management, the term ‘anticipation’ is gradually replacing ‘reaction’. Indeed, the ability to forecast traffic evolution in a network should ideally form the basis for many traffic management strategies and multiple ITS applications. Real-time prediction capabilities are therefore becoming a concrete need for the management of networks, both for urban and interurban en...

Atmospheric modeling permits to quantitatively assess the effects of emissions abatement strategies in urban areas, which are mainly oriented to reduce on-road traffic sector contributions. Nowadays the emissions inventories are one of the causes of uncertainties in air quality modeling. This work explores the improvements in urban air quality assessment by using the WRF-ARW/HERMES/CMAQ modelin...

We develop a GIS database to store urban traffic accident data in digital style, and analyze these data in terms of their attribute and spatial characteristics to exploit the reasons of accidents and rank urban area with dangerous degrees. We establish a road network in MapInfo for a sample city. Second we collect three years’ death traffic accidents data of the city and link these data with ro...