Title: On driving style recognition methods considering multiple factors

Authors: Lixin Yan; Yating Gao; Guangyang Deng; Ziyan Zhou

Addresses: School of Transportation Engineering, East China Jiaotong University, Nanchang, 330013, China ' School of Transportation Engineering, East China Jiaotong University, Nanchang, 330013, China ' School of Transportation Engineering, East China Jiaotong University, Nanchang, 330013, China ' School of Transportation Engineering, East China Jiaotong University, Nanchang, 330013, China

Abstract: The diversity of driving styles triggers driver differences in terms of travelling risks and energy-saving potential. To accurately assess driving styles, this study constructs seven different lane-changing scenarios by combining forced and free lane-changing. A driving style recognition model for lane-changing behaviour is constructed by considering multiple factors in various scenarios. In addition, this study analyses the correlation among different lane-changing scenarios, driving styles and safety levels and energy-saving efficiency. The results show that lower potential hazards and better energy-saving efficiencies are demonstrated for the right lane change as compared to the left lane change. Meanwhile, potential hazards and fuel consumption are significantly higher for drivers with aggressive driving styles than for drivers with cautious and normal driving styles. Therefore, reasonable regulation of drivers' behaviours to avoid undesirable driving operations is essential to enhance the safety level and energy use efficiency of the road transportation system.

Keywords: road traffic; driving style; lane-changing scenarios; safe driving; energy saving; emission reduction.

DOI: 10.1504/IJVSMT.2025.147904

International Journal of Vehicle Systems Modelling and Testing, 2025 Vol.19 No.3, pp.285 - 308

Received: 08 Oct 2024
Accepted: 27 Feb 2025
Published online: 07 Aug 2025 *

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