This paper describes a new real-time urban monitoring system. The system uses the Localizing and Handling Network Event Systems (LocHNESs) platform developed by Telecom Italia for the real-time evaluation of urban dynamics based on the anonymous monitoring of mobile cellular networks. In addition, data are supplemented based on the instantaneous positioning of buses and taxis to provide informa...

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...

Many urban designers and researchers argue that walkable urban environments can encourage older residents' walking activities that benefit their physical health. However, walking also exposes older adults to safety risks, including due to traffic accidents. This study seeks to reveal the interactions between urban form and safety affecting urban baby boomers' walking behavior. Spatial analysis ...

A spatial analysis of a large 20th century urban settlement (town/city) easily presents the celebrated central Business District (CBD). Theories of Urban Land Economics have easily justified and attempted to explain the existence of such a district activity area within the cityscape. This work examines the gradual emergence and development of the CBD in Lafia Town, Nigeria over 20 years and the...

Traffic accidents at intersections in urban area are the most common and take a majority of the accident toll. Analysing and generating counter measures has been the major task for traffic safety officials and engineers. Without knowing the safety implications of the counter measures, the task normally concentrates on tackling accidents reflected in historic accident data. As more demand for tr...

The paper presents an approach for detecting vehicles in urban traffic scenes by means of rule-based reasoning on visual data. The strength of the approach is its formal separation between the low-level image processing modules (used for extracting visual data under various illumination conditions) and the high-level module, which provides a general-purpose knowledge-based framework for trackin...

The intelligent and self-adaptive urban traffic signal control (TSC) system has become a development trend of intelligent transportation system (ITS). The most city dwellers are concerned with the urban traffic issues very much. So, to provide a self awareness and adaptive facilities in traffic signal control system is become more and more urgent. However, many roadway and traffic applications ...

We consider coordinated traffic control for networks consisting of both urban roads and freeways. One of the main problems that has to be addressed when designing traffic control strategies for such networks is that we should prevent a shift of problems from the urban network to the freeway network (or vice versa) due to the applied control strategy. First, we develop an integrated model to des...

BACKGROUND Traffic noise is a highly relevant environmental impact in cities. Models to estimate traffic noise, in turn, can be useful tools to guide mitigation measures. In this paper, the applicability of models to estimate noise levels produced by a continuous flow of vehicles on urban roads is investigated. The aim is to identify which models are more appropriate to estimate traffic noise i...

background and aims: this study aimed to evaluate the effect of enforcement of new traffic laws on the fatal and non- fatal injury rates in iran. methods: in a longitudinal, interventional controlled trial study, all subjects with history of fatal and non-fatal injuries were studied. their injuries were caused by six risky violations (unauthorized speed, illegal overtaking, red traffic light cr...