Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

There has been an increasing interest in recent years in using clustering analysis for the
identification of traffic patterns that are representative of traffic conditions in support of …

The outbreak and spreading of the COVID-19 pandemic have had a significant impact on
transportation system. By analyzing the impact of the pandemic on the transportation system …

The accurate forecasting of traffic states is an essential application of intelligent
transportation system. Due to the periodic signal control at intersections, the traffic flow in an …

License-plate recognition (LPR) data are emerging data sources in urban transportation
systems which contain rich information. Large-scale LPR systems have seen rapid …

Commuting vehicles are one of the most important vehicles on the road network, especially
during morning and evening peak hours. Analysis of commuting vehicles can lay foundation …

Day-to-day traffic data has been widely used in transportation planning and management.
However, with the emerging of new technologies, one conventional assumption, on which …

Modern urban-transport planning requires evidence-based insights into current transport
flows to better understand the needs and impacts of policymaking. Urban transport includes …

Diesel vehicles for road freight are primary contributors to PM 2.5 and NO X emissions in
numerous cities. Shenzhen, which is a megacity in China, has made efforts to promote the …

Urban traffic pollution poses a serious threat to the environment and human health,
especially in urban centres with high population density. Traditional traffic pollution …