To understand and facilitate modal shift to more sustainable modes of transport there is a need to model accessibility and connectivity at an urban scale using data collection and modelling procedures that require less data and specialist input than traditional transport models. The research described in this paper uses spatial analysis modelling procedures based on space syntax to investigate ...

BACKGROUND Recent changes in rural road traffic mortality have not been examined in China although rural residents were reported as having greater risk of road traffic injury than urban residents. We aimed to examine changes in urban and rural road traffic mortality rates between 2005 and 2010 in China. METHODS Mortality rates came from the publicly available health data of the Ministry of He...

A large literature base has found that economic factors have important effects on traffic crashes. A small but growing branch of literature also examines the role of gasoline prices in the occurrence of traffic crashes. However, no studies have investigated the possible difference of these effects between urban and rural areas. In this study, we used the monthly traffic crash data from 1998 to ...

Traffic congestion is one of the most serious problems that impact urban transportation efficiency, especially in big cities. Identifying traffic congestion locations and occurring patterns is a prerequisite for urban transportation managers in order to take proper countermeasures for mitigating traffic congestion. In this study, the historical GPS sensing data of about 12,000 taxi floating car...

– As a result of an extensive field trial in Frankfurt/Main, the urban traffic pattern is represented by a distribution of local entropy variables. This letter aims at reproducing this distribution by use of two arguments —a geometrical and a hierarchical one. A characteristic scaling relation for urban traffic is derived. Introduction: urban traffic patterns. – Vehicular traffic flow has for s...

Ambient concentrations of trace elements with 2 h time resolution were measured in PM10−2.5, PM2.5−1.0 and PM1.0−0.3 size ranges at kerbside, urban background and rural sites in London during winter 2012. Samples were collected using rotating drum impactors (RDIs) and subsequently analysed with synchrotron radiation-induced X-ray fluorescence spectrometry (SR-XRF). Quantification of kerb and ur...

When freeway traffic flow approaches capacity, minor disturbances or perturbations can cause unstable traffic streams to break down into queued or bottleneck conditions with the accompanying heavy congestion costs. As the traffic volume at which flow breaks down is uncertain, this research utilizes a stochastic capacity model to estimate congestion costs in terms of delays, fuel, and emissions....

203 words) In ITS (Intelligent Transportation System) equipped urban transportation systems noncritical junctions are often ignored in short-term traffic condition prediction algorithms as the traffic data collection systems in these junctions are not adequate. The paper proposes a shortterm traffic volume model based on a combination of discrete wavelet transform (DWT) and Bayesian hierarchica...

Arrow traffic lights are common at intersections of current urban scenes. However, existing algorithms mainly focus on recognition methods of circle traffic light. A novel system used to detect and recognize arrow traffic lights in urban scenes is proposed in the paper. Firstly, the boards of traffic light are exactly localized by image segmentation and morphology processing, then candidates of...

There is a growing need for improvement in the efficiency of urban traffic in order to ensure the sustainability of modern cities. It is now recognized that this can be achieved through the coordinated improvement of traffic monitoring and management schemes in traffic control centers and the provision of information services for ordinary road users. The real-time (on-line) simulation can have ...