Modeling and Simulation of Traffic Flow Considering Driver Perception Error Effect
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 4
Abstract
Driver’s perception error plays a significant role in determining the dynamical properties of a platoon of vehicles driving on a straight road. Therefore, we attempt to understand the role of driver’s perception errors for vehicle motion state information in affecting traffic flow oscillations in this study. A real vehicle test experiment indicates that the drivers have different levels of perception errors for velocity and headway of the preceding vehicle in the car-following process. Based on this, an extended full velocity difference (EFVD) model is used to investigate the effects from the driver’s perception errors of the preceding vehicle’s velocity and headway changes on a road without lane-changing. We incorporated the perception errors of velocity and headway into the EFVD model, and constructed a new EFVD model considering the driver’s perception error (EFVDDPE). Moreover, the confidence levels of perception errors for velocity and headway are introduced. Results from numerical experiments illustrate that the increase of the interval of the confidence levels is not conducive to smooth traffic flow in those cases. In order to eliminate the impact of stochastic fluctuation of the confidence levels on traffic flow stability and car-following safety, a delayed feedback control is proposed. Numerical simulations are also carried out to verify its effectiveness in improving the stability of the stochastic EFVDDPE model. These results are useful in setting an effective control method for adaptive cruise control (ACC) or intelligence driver systems to stabilize traffic flow in the platoon when perception errors exist in the vehicle-mounted sensors.
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Data Availability Statement
Vehicle trajectory data used to support the findings of this study are available from the corresponding author or first author upon request.
Acknowledgments
This work was supported by the National Key R&D Program of China (No. 2018YFB1601100 and No. 2018YFC0807500), Chinese Postdoctoral Science Foundation Science (No. 2019M660407), and Technology Project of Beijing Municipal Commission of Science and Technology (No. Z181100003918011). Junjie Zhang and Zhentian Sun contributed equally to this paper. The authors confirm contribution to the paper as follows. Study conception and design: Zhentian Sun, Junjie Zhang, Haiyang Yu; data collection: Junjie Zhang, Haiyang Yu, Miaomiao Liu; analysis and interpretation of results: Junjie Zhang, Haiyang Yu, Zhentian Sun, Can Yang; draft manuscript preparation: Junjie Zhang, Zhentian Sun, Haiyang Yu, Miaomiao Liu. All authors reviewed the results and approved the final version of the manuscript.
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Journal of Transportation Engineering, Part A: Systems
Volume 147 • Issue 4 • April 2021
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© 2021 American Society of Civil Engineers.
History
Received: May 6, 2020
Accepted: Dec 4, 2020
Published online: Feb 8, 2021
Published in print: Apr 1, 2021
Discussion open until: Jul 8, 2021
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