In order to control the urban traffic network through optimization methods, it is necessary to establish a proper urban traffic network model. This model should be both accurate in describing the network traffic and simple to compute. In this paper, an existing link model is at first improved to describe the main traffic dynamic behaviors more accurately. Then, a general urban traffic network t...

Traffic management systems have historically been limited to addressing the control of street signal lights. Algorithmic solutions to this problem have proved to be very restrictive, while expert system solutions have only shown valid results with small signal networks. None of these approaches has addressed the need for management of the overall transportation system of surface streets, inters...

Although naturally occurring vibrations have proven useful to probe the subsurface, the vibrations caused by traffic have not been explored much. Such data, however, are less sensitive to weather and low visibility compared to some common out-of-road traffic sensing systems. We study traffic-generated seismic noise measured by an array of 5200 geophones that covered a 7 × 10 km area in Long Bea...

This article discusses the development of 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 rely mainly on fixed-point detection and simpler algorithms to detect certain traffic characteristics, the new proposed ...

In order to improve the efficiency and safety level of urban expressway, speed guidance control was utilized to optimize the traffic flow. Inner ring expressway of Shanghai 5 km long was modelled in VISSIM and conflict statistical analysis was carried out in SSAM based on the data of vehicles trajectory. The collaborative optimization method to intervene the crash risk using speed guidance cont...

Since the last decades the availability and granularity of location-based data has been rapidly growing. Besides the proliferation of smartphones and locationbased social networks, also crowdsourcing and voluntary geographic data led to highly granular mobility data, maps and street networks. In result, location-aware, smart environments are created. The trend for personal self-optimization and...

noise pollution can be considered as the most important problem of urban environmental management in mega metropolises and urban transportation is the main source of the mentioned problem. this study aims to investigate the amount of traffic noise dose received by traffic policemen in tehran; district 1 municipality. the investigation was conducted during three consecutive months in 2007 in 282...

Pedestrians are important yet vulnerable road users, especially in urban environments. Traffic accidents involving pedestrians usually lead to serious injuries or fatalities. From an application’s point of view, pedestrian detection can be used for traffic flow monitoring, intelligent pedestrian crossing or on-board vehicle for driver assistance. From the technology’s point view, different sens...

The Smart City concept arises from the need to provide more intelligent and optimized applications for the development of future urban centers. Traffic monitoring including surveillance is becoming a problem as cities are getting larger and crowded with vehicles. Intelligent video applications for outdoor scenarios need for good quality, stable and robust signal in every moment or climate condi...

The cognitive car can be regarded as the future form of urban vehicles. Cognitive car implies intelligence not in an isolated form that involves just internal functionality, but also in the context of group that would include neighbouring vehicles and an intelligent transportation system (ITS). The cognitive car would adjust itself for optimum operation (in terms of safety, fuel, traffic, and e...