Cornelie van Driel
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Journal of Intelligent Transportation Systems | 2010
Cornelie van Driel; Bart van Arem
This article presents the results of a microscopic traffic simulation study conducted to investigate the impact of a Congestion Assistant on traffic efficiency and traffic safety. The Congestion Assistant is an in-vehicle system in which an active pedal supports the driver when approaching congestion and a stop-and-go function when driving in congestion. The authors used an Intelligent Transportation System (ITS) Modeller traffic flow simulation tool to study the effect of the Congestion Assistantin congestion caused by a lane drop. This article describes (a) how the Congestion Assistant operates and (b) the main features of the ITS Modeller. Furthermore, it examines the calibration and validation of the ITS Modeller for congestion caused by a lane drop using traffic flow measurements on a segment of the Dutch A12 highway. Simulation experiments of different penetration rates and system settings show that the stop and go leads to a 30% decrease in travel-time delay at a 10% penetration rate, while the active pedal leads to small reductions in travel-time delay. Compared with the stop-and-go function, the active pedal has fewer sharp accelerations and decelerations, which implies better traffic safety and driver comfort. The effect of the stop-and-go active pedal combination is similar to that of the stop-and-go function on its own. The authors further discuss the implications of the results.This article presents the results of a microscopic traffic simulation study conducted to investigate the impact of a Congestion Assistant on traffic efficiency and traffic safety. The Congestion Assistant is an in-vehicle system in which an active pedal supports the driver when approaching congestion and a stop-and-go function when driving in congestion. The authors used an Intelligent Transportation System (ITS) Modeller traffic flow simulation tool to study the effect of the Congestion Assistantin congestion caused by a lane drop. This article describes (a) how the Congestion Assistant operates and (b) the main features of the ITS Modeller. Furthermore, it examines the calibration and validation of the ITS Modeller for congestion caused by a lane drop using traffic flow measurements on a segment of the Dutch A12 highway. Simulation experiments of different penetration rates and system settings show that the stop and go leads to a 30% decrease in travel-time delay at a 10% penetration rate, while the active pedal leads to small reductions in travel-time delay. Compared with the stop-and-go function, the active pedal has fewer sharp accelerations and decelerations, which implies better traffic safety and driver comfort. The effect of the stop-and-go active pedal combination is similar to that of the stop-and-go function on its own. The authors further discuss the implications of the results.
Applied Ergonomics | 2009
Karel Brookhuis; Cornelie van Driel; Tineke Hof; Bart van Arem; M Hoedemaeker
European Journal of Transport and Infrastructure Research | 2005
Cornelie van Driel; Bart van Arem
Transportation Research Board 87th Annual MeetingTransportation Research Board | 2008
Cornelie van Driel; Bart van Arem
15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual MeetingITS AmericaERTICOITS JapanTransCore | 2008
Jacob Dirk Vreeswijk; Bart van Arem; K.M. Malone; Cornelie van Driel
Civil Engineering & Management Res. report 2006R-002/VVR-001 | 2006
Cornelie van Driel; Bart van Arem
Civil eng. & Man. res. report 2005R-002 / VVR-002 | 2005
Cornelie van Driel; Bart van Arem
12th World Congress on ITS 2005: Enabling choises in transportation (World Congress on Intelligent Transport Systems) | 2005
Cornelie van Driel; Bart van Arem
IEEE ITS council newsletter | 2004
Bart van Arem; Cornelie van Driel; Thijs Muizelaar
Transportation Research Board 86th Annual MeetingTransportation Research Board | 2007
Cornelie van Driel; Bart van Arem