Searched for: subject:"Car%5C+following"
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Soni, Shubham (author)
Advancements in technology are bringing Automated vehicles (AVs) closer to reality and it is not so far in future when these vehicles will have a significant penetration rate in our existing transport network. However, in the early phases of automation, penetration rate of these vehicles will be very low. This would lead to a mixed traffic...
master thesis 2020
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Blauw, Mathieu (author)
The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of money each day. Roads are designed for the current traffic composition. Due to the promotion of Adaptive Cruise Control (ACC) systems, utilisation of these systems is expected to...
master thesis 2019
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Pizzigoni, Edoardo (author)
Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and...
master thesis 2019
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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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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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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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Echaniz Soldevila, Ignasi (author)
This master thesis aims to gain new empirical insights into longitudinal driving behavior by means of the enumeration of a new hybrid car-following (CF) model which combines parametric and non parametric formulation. On one hand, the model, which predicts the drivers acceleration given a set of variables, benefits from innovative machine...
master thesis 2017
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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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Vlaar, T.J. (author)
Driving a car is common but complex everyday task. Nowadays the mobile phone, infotainment and navigation systems are used while driving. These distract the driver from their driving task. What is the implication on driving safety? How is the car following behaviour influenced by distraction? Can this be described by a car following model? The...
master thesis 2015
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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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Panagopoulou, M. (author)
Vehicles are an integral part of everyday life. Since drivers depend on these transport means to perform their activities, it is important to investigate how they behave inside the vehicles in order to facilitate their task and avoid any undesired consequences (e.g. congestion, accidents). Different components of the driving environment have an...
master thesis 2014
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Molenaar, R.B. (author)
Traffic simulators are useful tools that can be used for entertainment, driver education, and research into human driving behavior and the effects of innovative traffic solutions. A traffic simulator provides a high degree of control, as every traffic situation can be recreated with exactly the same conditions for all test subjects. The downside...
master 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:"Car%5C+following"
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