Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …

For signalized intersections with a quantitative imbalance between the approach and exit
lanes, this study proposes a method for the dynamic use of the left-turn lane for opposite …

Heterogeneous traffic conditions are characterized by a mix of vehicles with varying static
and dynamic characteristics. Modelling of such traffic conditions is a challenging task due to …

The calibration procedure for traffic simulation models can be a very time-consuming
process in the case of a large-scale and complex network. In the application of Evolutionary …

Under many circumstances, when providing full bus priority methods, urban transport
officials have to operate buses in mixed traffic based on their road network limitations. In the …

This study proposes a novel traffic information estimation method based on deep learning
and cellular floating vehicle data (CFVD). In this paper, a probabilistic analysis model based …

Car following behaviour is one of the main behaviours in microscopic traffic flows and is
therefore an important part of traffic flow modelling. Various car-following models have been …

LUTI (Land-Use and Transportation Interaction) models are decision-making aid tools that
simulate complex dynamic bilateral feedback between transportation and land-use models …

Sažetak Coach emergency escape research is an effective measure to reduce casualties
under serious vehicle fire accidents. A novel experiment method employing a wireless …

On freeway weaving sections, traffic congestion and accidents occur frequently due to the
disturbance generated by merging or diverging vehicles. To reduce the disturbance and …