The Frontiers of Society, Science and Technology, 2019, 1(9); doi: 10.25236/FSST.2019.010915.
Shen Han1, Li Feixiang2, Chen Xinyan3, Zhang Qiang4
School of Science, Wuhan University of Science and Technology, Wuhan 430065, China
E-mail: [email protected]
With the rapid development of road transportation industry, on the one hand, compliance with the safety norms of driving behavior has become a vital guarantee for road safety environment; on the other hand, in the new era of advocating green energy conservation, energy-saving driving can fundamentally improve the phenomenon of energy waste and environmental pollution. In order to improve the level of transportation safety management and transportation efficiency, this paper analyses the GPS data of 450 transport vehicles and driver's driving operation, calculates the weight of driving behavior by analytic hierarchy process, and establishes a comprehensive model of driving safety and energy-saving bad behavior by weighted average, and establishes a comprehensive efficiency evaluation model of safety, energy-saving and meteorological road conditions based on driving behavior.
Safety; Energy-saving; Analytic-hierarchy-process; Scoring-model; Score-on-meteorological
Shen Han, Li Feixiang, Chen Xinyan, Zhang Qiang. Safety and Energy Saving Evaluation Model Based on Driving Behavior of Transportation Vehicles. The Frontiers of Society, Science and Technology (2019) Vol. 1 Issue 9: 79-87. https://doi.org/10.25236/FSST.2019.010915.
 Xia Jie (2016). Evaluation method of driving behavior safety and energy conservation based on safety production management data of road transport enterprises. Beijing: Beijing Jiaotong University.
 Jiang Yan (2016). Design and implementation of driving behavior real-time monitoring module in fleet management system. Beijing: Beijing Jiaotong University.
 Zhang Jinglei, Wang Xiaoyuan, Wang mengsha, et al (2017). Transfer probability and prediction of driving tendency in three lane dynamic environment. Transportation system engineering and information, vol.17, no.1, pp.82-90, 97.
 Zhang Lidong, Qin Li, Jiang Haitao, et al (2017). Design and implementation of intelligent monitoring software system for tunnel lighting. Highway transportation technology, vol.34, no.10, pp.92-99,107.
 Liu Yingji, Zeng Cheng, Wang Shuju, et al (2018). Evaluation method of driving behavior safety and energy conservation based on satellite positioning data. Highway transportation technology, vol.35, no.1, pp.121-128,158.