The London Marylebone Road monitoring site is a roadside supersite adjacent to highway carrying 80–90,000 vehicles per day on six lanes in street canyon. Data from the Automatic Urban and Rural Network (AURN), Black Carbon Network, Hydrocarbon Heavy Metal Particle Size Number Composition covering period 2009 2018 were analysed determine short-term (diurnal, weekly seasonal) long-term variations...

Antimony (Sb) is one of the elements of increasing environmental significance. In this study, concentrations of Sb were measured on 21 roadside topsoil samples collected from a medium-size city, Xuzhou (China), in order to assess the magnitude of contamination and to identify the possible contamination sources. The mode of occurrence of Sb and the effect of particle size fractions on Sb concent...

Monitoring of benzene, toluene and xylenes (BTEX) was conducted along with traffic counts at 17 roadside sites in urban areas of HoChiMinh. Toluene was the most abundant substance, followed by p,m-xylenes, benzene, o-xylene and ethylbenzene. The maximum observed hour-average benzene concentration was 254 microg/m3. Motorcycles contributed to 91% of the traffic fleet. High correlations among BTE...

Vehicular Ad Hoc Networks (VANETs) are a peculiar subclass of mobile ad hoc networks that raise a number of technical challenges, notably from the point of view of their mobility models. In this paper, we provide a thorough analysis of the connectivity of such networks by leveraging on wellknown results of percolation theory. By means of simulations, we study the influence of a number of parame...

Intersection-collision warning systems use vehicle-to-infrastructure communication to avoid accidents at urban intersections. However, they are costly because additional roadside infrastructure must be installed, and they suffer from problems related to real-time information delivery. In this paper, an intersection-collision warning system based on vehicle-to-vehicle communication is proposed i...

This paper reports on a co-operative research project between the Queensland University of Technology (QUT) and Queensland Transport to predict the contributions that motor vehicle emissions from various fleet compositions and traffic conditions make to the level of airborne sub-micrometer particles. Extensive data relating to sub-micrometer particle concentration levels and the corresponding c...

This study set out to investigate the proportion of UK drivers who engage in some form of distracting behaviour whilst driving. Data were collected by roadside observation in six urban centres in the South of England. The observations took place on randomly selected roads at three different time periods during two consecutive Tuesdays. The data revealed that 14.4% of the 7,168 drivers observed ...

This paper presents a method for using a dual roadside seismic sensor to detect moving vehicles on roadway by installing them on a road shoulder. Seismic signals are split into fixed time intervals in recording. In each interval, the time delay of arrival (TDOA) is estimated using a generalized cross-correlation approach with phase transform (GCC-PHAT). Various kinds of vehicle characterization...

This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system discussed in this article permits drivers to identify traffic congestion and change their routes accordingly, thus reducing the total emissions of CO₂ ...

Passive sampling surveys followed by geostatistical data analysis have become a common and efficient way of mapping background concentrations at regional and urban scale. Traffic related pollution is also a matter of concern as regards people exposure but since it acts at shorter spatiotemporal scales, it is usually not integrated in the same maps. However, to provide more comprehensive informa...