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Kan, Xingan (David) (author), Xiao, L. (author), Liu, Hao (author), Wang, M. (author), Schakel, W.J. (author), Lu, Xiao-Yun (author), van Arem, B. (author), Shladover, SE (author), Ferlis, Robert A. (author)
Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation...
journal article 2019
document
Wang, M. (author), van Maarseveen, Sander (author), Happee, R. (author), Tool, Onno (author), van Arem, B. (author)
Truck platooning attracts considerable attention thanks to the promising fuel consumption benefits and business model. Nevertheless, concerns over the influence of long truck platoons on other traffic are raised by road operators. It is intriguing to understand under what conditions truck platooning will influence other traffic and what are...
journal article 2019
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Goni Ros, B. (author), Schakel, W.J. (author), Papacharalampous, Alexandros E. (author), Wang, M. (author), Knoop, V.L. (author), Sakata, Ichiro (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
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...
journal article 2019
document
Xiao, L. (author), Wang, M. (author), Schakel, W.J. (author), van Arem, B. (author)
Cooperative Adaptive Cruise Control (CACC) systems have the potential to increase roadway capacity and mitigate traffic congestion thanks to the short following distance enabled by inter-vehicle communication. However, due to limitations in acceleration and deceleration capabilities of CACC systems, deactivation and switch to ACC or human...
journal article 2018
document
Wang, Y. (author), Homem de Almeida Correia, G. (author), van Arem, B. (author), Timmermans, H. J.P.(Harry) (author)
New mobility data sources like mobile phone traces have been shown to reveal individuals’ movements in space and time. However, socioeconomic attributes of travellers are missing in those data. Consequently, it is not possible to partition the population and have an in-depth understanding of the socio-demographic factors influencing travel...
journal article 2018
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Chen, N. (author), Wang, M. (author), Alkim, Tom (author), van Arem, B. (author)
Automated vehicles are designed to free drivers from driving tasks and are expected to improve traffic safety and efficiency when connected via vehicle-to-vehicle communication, that is, connected automated vehicles (CAVs). The time delays and model uncertainties in vehicle control systems pose challenges for automated driving in real world....
journal article 2018
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Xiao, L. (author), Wang, M. (author), van Arem, B. (author)
Adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) are important technologies for the achievement of vehicle automation, and their effect on traffic systems generally is evaluated with microscopic traffic simulations. A successful simulation requires realistic vehicle behavior and minimal vehicle collisions. However,...
journal article 2017
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Wang, M. (author), Daamen, W. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control commands. The key of this concept is using intelligent vehicles as actuators for traffic control systems. Under this concept, we design and test a control...
journal article 2016
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Wang, M. (author), Hoogendoorn, S.P. (author), Daamen, W. (author), van Arem, B. (author), Shyrokau, B. (author), Happee, R. (author)
A novel strategy to enhance string stability of autonomous vehicles with sensor delay and actuator lag is proposed based on a model predictive control framework. To compensate sensor delay, the approach entails estimating the (unknown) system state at the current time using the system state in a previous time, the applied control history and a...
journal article 2016
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