Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...

COBRA: A cooperative breakdown prevention algorithm

Ever increasing traffic load on freeways calls for smart solutions to improve throughput. With the uprise and standardization of C-ITS, accuracy and latency of traffic state measurements are immensely improved, while the span of control is increased. In this paper, a traffic control algorithm that aims to prevent breakdown at recurring...

Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulation

Sags are roadway sections along which the gradient increases gradually in the direction of traffic. Sags are generally bottlenecks in freeway networks. Previous research suggests that traffic management measures using advanced Adaptive Cruise Control (ACC) systems could reduce congestion on freeways, but little is known about their potential...

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories from...

Impacts of (Cooperative) Adaptive Cruise Control Systems on Traffic Flow: A simulation case study on the effects of (cooperative) adaptive cruise control on the A15 highway

This thesis is assessing the effects of (Cooperative) Adaptive Cruise Control using microscopic and mesoscopic simulations in Aimsun. The Gipps car-following model is manipulated in such a way that it represents (C)ACC driving behavior to a satisfactory extent. A simulation network of a part of the A15 highway containing the junctions Ridderkerk...

The traffic safety effects of Connected Cruise Control

The newly developed Connected Cruise Control-system aims to reduce the level of congestion at Dutch highways by the provision of real-time driving advices towards car drivers. The advices have the intention to let car drivers adapt their driving speed, headway or driving lane in order to create a more homogenous traffic flow that is less...