A paradox in dynamic traffic assignment: Dynamic extension of the Braess paradox

Modelling Driver Assitance Systems by Optimal Control

Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper put forward a receding horizon control framework to model driver assistance systems. The accelerations of automated vehicles are determined to optimise a cost function,...

Incorporating driver distraction in car-following models: Applying the TCI to the IDM

ITS can play a significant role in the improvement of traffic flow, traffic safety and greenhouse gas emissions. However, the implementation of Advanced Driver Assistance Systems may lead to adaptation effects in longitudinal driving behavior following driver distraction. It was however not yet clear how to model these adaptation effects in...

Optimal lane change times and accelerations of autonomous and connected vehicles

This contribution puts forward a flexible approach to model the decision-making or design controller for automated driving systems, where tactical-level lane change decisions and control-level accelerations are jointly evaluated based on iteratively solving an online optimization problem. The key idea is that automated vehicles determine lane...

Traffic Flow Optimisation at Sags by Controlling the Acceleration of Some Vehicles

Sags are bottlenecks in freeway networks. Nowadays, there is a growing interest in the development of traffic management measures for sags based on the use of in-car systems. This contribution determines the movements that individual (equipped) vehicles should make in order to minimise congestion. Specifically, we optimise the accelerations of...

Resuming manual control or not?: Modelling choices of control transitions in full-range adaptive cruise control

Automated vehicles and driving assistance systems such as Adaptive Cruise Control (ACC) are expected to reduce traffic congestion, accidents and levels of emissions. Field Operational Tests have found that drivers may prefer to deactivate ACC in dense traffic flow conditions and before changing lanes. Despite the potential effects of these...

Continuous-discrete choices of control transitions and speed regulations in full-range adaptive cruise control

Driving assistance systems such as Adaptive Cruise Control (ACC) and automated vehicles can contribute to mitigate traffic congestion, accidents, and levels of emissions. Automated vehicles may increase roadway capacity, improve traffic flow stability, and speed up the outflow from a queue (1). The functionalities of automated systems have been...

Optimal lane guidance for improving traffic efficiency on homogeneous freeway sections

Urban Mobility Observatory

The Urban Mobility Observatory (UMO) will gather, store, and disseminate empirical multi-modal traffic, transport and mobility data, using a well-balanced set of innovative data collection methods. It will make these comprehensive data available for scientific research to develop and test new theories and models to better understand, predict and...