Searched for: subject%3A%22Car%255C+following%22
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
Lane-changing (LC) in congested traffic has been identified as a trigger for the sudden deceleration behavior of the new follower in the target lane, leading to severe traffic disturbances. Thus, investigating the response of the new follower to an LC maneuver is an important research topic in the literature. To date, numerous efforts have...
journal article 2023
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Shiomi, Y. (author), Li, G. (author), Knoop, V.L. (author)
Traffic dynamics on freeways are stochastic in nature because of errors in perception and operation of drivers as well as the heterogeneity between and within drivers. This stochasticity is often represented in car-following models by a stochastic term, which is assumed to follow a normal distribution for the convenience of mathematical...
journal article 2023
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Li, G. (author), Jiao, Y. (author), Knoop, V.L. (author), Calvert, S.C. (author), van Lint, J.W.C. (author)
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critical for mixed traffic flow. Research in this field can be expedited with trajectory datasets...
conference paper 2023
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
The pre-insertion process called anticipation is an essential component of a lane-changing manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this paper aims to explore the behaviour of the new follower (NF) in the target lane when it encounters anticipation by using new trajectory datasets. The changing...
journal article 2023
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H R, Surya (author), Raju, Narayana (author), arkatkar, shriniwas (author)
There is an increase in the need to understand traffic flow behavior through multiple fronts, especially in developing countries like India, where a high degree of heterogeneity, non-lane-discipline, and non-compliance to traffic rules prevail in the road sections. As a result, it can impact the stability of the traffic stream. Four car...
conference paper 2021
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Razmi Rad, S. (author), Farah, H. (author), Taale, Henk (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Connected and automated vehicles (CAVs) are expected to enhance traffic efficiency by driving at shorter time headways, and traffic safety by shorter reaction times. However, one of the main concerns regarding their deployment is the mixed traffic situation, in which CAVs and manually driven vehicles (MVs) share the same road. This study...
journal article 2021
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), Joshi, Gaurang (author)
This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic moves closer to its leader vehicle, it tends to adjust its longitudinal movement or change its lane and acts discretely. Due to this phenomenon, traffic flow modeling...
journal article 2021
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Lin, Q. (author), Zhang, Yihuan (author), Verwer, S.E. (author), Wang, Jun (author)
This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like...
journal article 2019
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Wang, M. (author)
Literature has shown potentials of Connected/Cooperative Automated Vehicles (CAVs) in improving highway operations, especially on roadway capacity and flow stability. However, benefits were also shown to be negligible at low market penetration rates. This work develops a novel adaptive driving strategy for CAVs to stabilise heterogeneous...
journal article 2018
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Yuan, K. (author), Lavala, Jorge (author), Knoop, V.L. (author), Jiang, Rui (author), Hoogendoorn, S.P. (author)
Traffic flow downstream of the congestion is generally lower than the pre-queue capacity. This phenomenon is called the capacity drop. Recent empirical observations show a positive relationship between the speed in congestion and the queue discharge rate. Literature indicates that variations in driver behaviors can account for the capacity drop....
journal article 2018
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Zhang, Yihuan (author), Lin, Q. (author), Wang, Jun (author), Verwer, S.E. (author), Dolan, John M. (author)
Car-following is the most general behavior in highway driving. It is crucial to recognize the cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this paper, a method of behavior estimation is proposed to recognize and predict the lane change intentions based on the contextual traffic information. A model...
journal article 2018
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Zhang, Yihuan (author), Lin, Q. (author), Wang, Jun (author), Verwer, S.E. (author)
Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of car-following using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common state sequences are extracted from the model...
conference paper 2017
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Goni Ros, B. (author), Knoop, V.L. (author), Takahashi, Toshimichi (author), Sakata, Ichiro (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Sags are bottlenecks in freeway networks. According to previous research, the main cause is that most drivers do not accelerate enough at sags. Consequently, they keep longer headways than expected given their speed, which leads to congestion in high demand conditions. Nowadays, there is growing interest in the development of traffic control...
journal article 2016
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Wang, M. (author)
This thesis deals with a model predictive control framework for control design of Advanced Driver Assistance Systems, where car-following tasks are under control. The framework is applied to design several autonomous and cooperative controllers and to examine the controller properties at the microscopic level and the resulting traffic flow...
doctoral thesis 2014
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Wang, M. (author), Treiber, M. (author), Daamen, W. (author), Hoogendoorn, S.P. (author), Van Arem, B. (author)
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 puts forward a receding horizon control framework to model driver assistance and cooperative systems. The accelerations of automated vehicles are controlled to optimise...
journal article 2013
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Wang, M. (author), Daamen, W. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
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,...
conference paper 2012
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Hoogendoorn, R.G. (author), Hoogendoorn, S.P. (author), Brookhuis, K.A. (author), Daamen, W. (author)
Adverse weather conditions have been shown to have a substantial impact on traffic flow operations following substantial adaptation effects in driving behavior. In quantifying these effects psycho-spacing models may be used. In this contribution it was examined to what extend adverse weather conditions influence the position of action points in...
journal article 2011
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Van Hinsbergen, C.P.Y. (author)
This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in Advanced Traffic Information Systems (ATIS), Dynamic Traffic Management (DTM) or Model Predictive Control (MPC) approaches in order to improve the traffic system. As road traffic is the result...
doctoral thesis 2010
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Van Hinsbergen, C.P.IJ. (author), Van Lint, H.W.C. (author), Hoogendoorn, S.P. (author), Van Zuylen, H.J. (author)
Recent research has revealed that there exist large inter-driver differences in car-following behavior such that different car-following models may apply to different drivers. This study applies Bayesian techniques to the calibration of car-following models, where prior distributions on each model parameter are converted to posterior...
conference paper 2010
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Ossen, S.J.L. (author)
Congestion is a serious problem in many countries around the world. Consequently a lot of effort is put in inventing smart methods for reducing congestion. Whether these measures lead to the desired effect appears to be largely dependent on the driving behavior of individual road users. It is therefore not surprising that the effects of measures...
doctoral thesis 2008
Searched for: subject%3A%22Car%255C+following%22
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