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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 23, 2019 - Issue 2: Vehicle Sensor Data-based Transportation Research: Modelling, Analysis, and Management
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Original Articles

Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle

Geqi QiMOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, PR China; ORCID Iconhttp://orcid.org/0000-0002-0767-1865View further author information
ORCID Icon,
Wei GuanMOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, PR China; Correspondence[email protected]
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,
Xucheng LiAtkins Ltd, London, UK; View further author information
,
Nick HounsellTransport Research Group, Faculty of Engineering and the Environment, University of Southampton, Highfield, Southampton, UKView further author information
&
Neville A. StantonTransport Research Group, Faculty of Engineering and the Environment, University of Southampton, Highfield, Southampton, UKView further author information
Pages 144-160 | Received 10 Nov 2017, Accepted 15 Sep 2018, Published online: 29 Nov 2018

Citations (9)

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Read on this site (4)

Jaehyun (Jason) So, Jun Hwangbo, Sang Hyun Kim & Ilsoo Yun. (2023) Analysis on autonomous vehicle detection performance according to various road geometry settings. Journal of Intelligent Transportation Systems 27:3, pages 384-395.
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Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frederic Maire & Vinod Chandran. (2022) Driver stress levels detection system using hyperparameter optimization. Journal of Intelligent Transportation Systems 0:0, pages 1-16.
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Rafael Peralta, Israel Becerra, Ubaldo Ruiz & Rafael Murrieta-Cid. (2022) A methodology for generating driving styles for autonomous cars. Journal of Intelligent Transportation Systems 0:0, pages 1-21.
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Zhengbing He, Jia Hu, B. Brian Park & Michael W. Levin. (2019) Vehicle sensor data-based transportation research: Modeling, analysis, and management. Journal of Intelligent Transportation Systems 23:2, pages 99-102.
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Articles from other publishers (5)

Yunchao Zhang, Yanyan Chen, Xin Gu, N.N. Sze & Jianling Huang. (2023) A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles. Accident Analysis & Prevention 188, pages 107072.
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Hui Zhang, Yijun Zhang, Yiying Xiao & Chaozhong Wu. (2022) Analyzing the Influencing Factors and Workload Variation of Takeover Behavior in Semi-Autonomous Vehicles. International Journal of Environmental Research and Public Health 19:3, pages 1834.
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Tulsi Pawan Fowdur & Girish Luckhun. 2022. AI and IoT for Sustainable Development in Emerging Countries. AI and IoT for Sustainable Development in Emerging Countries 371 399 .
Geqi Qi, Shuo Zhao, Avishai (Avi) Ceder, Wei Guan & Xuedong Yan. (2021) Wielding and evaluating the removal composition of common artefacts in EEG signals for driving behaviour analysis. Accident Analysis & Prevention 159, pages 106223.
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Lyuchao Liao, Bijun Chen, Fumin Zou, Shengbo Eben Li, Jierui Liu, Xinke Wu & Ni Dong. (2020) Hierarchical quantitative analysis to evaluate unsafe driving behaviour from massive trajectory data. IET Intelligent Transport Systems 14:8, pages 849-856.
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