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Hybrid order characteristics in car-following behavior [PDF]
<span>This paper addresses the discovery of an interesting property in car-following processes, which was not reported in the existing literatures. A hybrid order behavior is supported by both experimental data and theoretical simulations. To demonstrate this behavior, the first order and the second order car-following behaviors are defined. Then,
Chunling Tu, Shengzhi Du
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Behavior Measurement, Analysis, and Regime Classification in Car Following
This paper first reports a data acquisition method that the authors used in a project on modeling driver behavior for microscopic traffic simulations. An advanced instrumented vehicle was employed to collect driver-behavior data, mainly car-following and lane-changing patterns, on Swedish roads.
Xiaoliang Ma, Ingmar Andreasson
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Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence
In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved
Da-wei Liu, Zhong-ke Shi, Wen-Huan Ai
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Research on car-following model based on molecular dynamics
The car-following model has always been a research hot spot in the field of traffic flow theory. Modeling the car-following behavior can quantify the longitudinal interaction between cars, thereby understanding the characteristics of traffic flow, and ...
Yanfeng Jia +4 more
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Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior
Wenqi Lu +4 more
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CALIBRATION OF CAR-FOLLOWING MODELS WITH SINGLE- AND MULTI-STEP APPROACHES [PDF]
Microscopic traffic simulation models are applied in the analysis of transportation systems for years. Nevertheless, calibration (and validation) of microscopic sub-models such as car-following and gap-acceptance models is still a recent matter.
Ronald Nippold +3 more
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A driver’s car-following behavior prediction model based on multi-sensors data
The prerequisite for the effective operation of vehicle collision warning system is that the necessary operation is not implemented. Therefore, the behavior prediction that the driver should perform when the preceding vehicle braking is the key to ...
Hui Wang +3 more
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A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience
Existing studies had shown that advanced driver assistance systems (ADAS) and driver individual characteristics can significantly affect driving behavior. Therefore, it is necessary to consider these factors when building the car-following model. In this
Yugang Wang, Nengchao Lyu
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A CNN-LSTM Car-Following Model Considering Generalization Ability
To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
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A behavioral microeconomic foundation for car-following models
Abstract The objective of this paper is to develop a micro-economic modeling approach for car-following behaviors that may capture different risk-taking tendencies when dealing with different traffic conditions. The proposed framework allows for the consideration of perception subjectivity and judgement errors that may lead to unsafe acceleration ...
Samer H. Hamdar +3 more
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