Abstract
AbstractDespite the significant impact of driver behavior on fuel consumption and carbon dioxide equivalent (CO2e) emissions, this phenomenon is often overlooked in road freight transportation research. We review the relevant literature and seek to provide a deeper understanding of the relationship between freight drivers’ behavior and fuel consumption. This study utilizes a real-life dataset of over 4000 driving records from the freight logistics sector to examine the effects of specific behaviors on fuel consumption. Analyzed behaviors include harsh acceleration/deceleration/cornering, over-revving, excessive revolutions per minute (RPM), and non-adherence to legal speed limits ranging from 20 to 70 miles per hour (mph). Our findings confirm existing literature by demonstrating the significant impact of certain driving characteristics, particularly harsh acceleration/cornering, on fuel consumption. Moreover, our research contributes new insights into the field, notably highlighting the substantial influence of non-adherence to the legal speed limits of 20 and 30 mph on fuel consumption, an aspect not extensively studied in previous research. We subsequently introduce an advanced fuel consumption model that takes into account these identified driver behaviors. This model not only advances academic understanding of fuel consumption determinants in road freight transportation, but also equips practitioners with practical insights to optimize fuel efficiency and reduce environmental impacts.
Publisher
Springer Science and Business Media LLC
Subject
Management of Technology and Innovation,Computational Theory and Mathematics,Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Modeling and Simulation,Numerical Analysis
Reference148 articles.
1. Abdullahi H, Reyes-Rubiano L, Ouelhadj D, Faulin J, Juan AA (2021) Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. Eur J Oper Res 292(1):143–154. https://doi.org/10.1016/j.ejor.2020.10.028
2. Abou-Senna H, Radwan E (2013) VISSIM/MOVES integration to investigate the effect of major key parameters on CO2 emissions. Transp Res Part D Transp Environ 21:39–46. https://doi.org/10.1016/j.trd.2013.02.003
3. ACEA (2020) Fuel types of new trucks: diesel 97.9%, electric 0.2%, hybrid 0.1% market share in 2019. Retrieved August 2, 2021, from https://www.acea.be/press-releases/article/fuel-types-of-new-trucks-diesel-97.9-electric-0.2-hybrid-0.1-market-share-i
4. af Wåhlberg AE (2007) Long-term effects of training in economical driving: fuel consumption, accidents, driver acceleration behavior and technical feedback. Int J Ind Ergon 37(4):333–343. https://doi.org/10.1016/j.ergon.2006.12.003
5. af Wåhlberg AE (2000) The reliability of g-force, and a replication of its relation to bus accidents. KFB-rapport. https://www.researchgate.net/profile/Anders-Af-Wåhlberg/publication/265362407_The_reliability_of_g-force_and_a_replication_of_its_relation_to_bus_accidents/links/54d0d0320cf298d65669078f/The-reliability-of-g-force-and-a-replication-of-its-relation-to-bus-accidents.pdf
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献