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Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption

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  • Saboohi, Y.
  • Farzaneh, H.

Abstract

Additional consumption of fuel in an intense traffic condition is inevitable. Excess fuel consumption may be avoided, if an optimal driving strategy is implemented subject to the surrounding condition of a vehicle and existing constraints. Development of an optimal driving strategy has been the subject of eco-driving. A model of optimal driving strategy has been developed and it has been applied for assessment of eco-driving rules. The model may be categorized as an optimal control and the objective function is minimization of fuel consumption in a given route. Vehicle speed and gear ratio are identified as control variables. The effect of working load has been considered according three engine running processes of Idle, part-load and wide open throttle. The model has then been applied to identify the optimal driving strategy of a vehicle in different traffic congestion based on eco-driving rules.

Suggested Citation

  • Saboohi, Y. & Farzaneh, H., 2009. "Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption," Applied Energy, Elsevier, vol. 86(10), pages 1925-1932, October.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:10:p:1925-1932
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    References listed on IDEAS

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    1. Zhang, H. M., 1999. "A mathematical theory of traffic hysteresis," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 1-23, February.
    2. Wu, Ning, 2002. "A new approach for modeling of Fundamental Diagrams," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 867-884, December.
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    Cited by:

    1. Wang, Jinghui & Rakha, Hesham A., 2016. "Fuel consumption model for conventional diesel buses," Applied Energy, Elsevier, vol. 170(C), pages 394-402.
    2. Hooman Farzaneh & Jose A. Puppim de Oliveira & Benjamin McLellan & Hideaki Ohgaki, 2019. "Towards a Low Emission Transport System: Evaluating the Public Health and Environmental Benefits," Energies, MDPI, vol. 12(19), pages 1-17, September.
    3. Alam, Md. Saniul & McNabola, Aonghus, 2014. "A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations," Transport Policy, Elsevier, vol. 35(C), pages 42-49.
    4. Huifu Jiang & Shi An & Jian Wang & Jianxun Cui, 2018. "Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection," Sustainability, MDPI, vol. 10(1), pages 1-20, January.
    5. Barla, Philippe & Gilbert-Gonthier, Mathieu & Lopez Castro, Marco Antonio & Miranda-Moreno, Luis, 2017. "Eco-driving training and fuel consumption: Impact, heterogeneity and sustainability," Energy Economics, Elsevier, vol. 62(C), pages 187-194.
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    7. Nie, Zifei & Farzaneh, Hooman, 2022. "Real-time dynamic predictive cruise control for enhancing eco-driving of electric vehicles, considering traffic constraints and signal phase and timing (SPaT) information, using artificial-neural-netw," Energy, Elsevier, vol. 241(C).
    8. Hao Chen & Hesham A. Rakha, 2022. "Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses," Energies, MDPI, vol. 15(4), pages 1-17, February.
    9. Sina, Naser & Nasiri, Sayyad & Karkhaneh, Vahid, 2015. "Effects of resistive loads and tire inflation pressure on tire power losses and CO2 emissions in real-world conditions," Applied Energy, Elsevier, vol. 157(C), pages 974-983.
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    12. Sudarmanto Budi Nugroho & Eric Zusman, 2015. "Estimating greenhouse gas (GHG) emissions from paratransit in Bandung, Indonesia: Reducing the transaction costs of generating conservative emissions baselines," Natural Resources Forum, Blackwell Publishing, vol. 39(1), pages 53-63, February.
    13. Achour, H. & Carton, J.G. & Olabi, A.G., 2011. "Estimating vehicle emissions from road transport, case study: Dublin City," Applied Energy, Elsevier, vol. 88(5), pages 1957-1964, May.
    14. Wojciech Adamski & Krzysztof Brzozowski & Jacek Nowakowski & Tomasz Praszkiewicz & Tomasz Knefel, 2021. "Excess Fuel Consumption Due to Selection of a Lower Than Optimal Gear—Case Study Based on Data Obtained in Real Traffic Conditions," Energies, MDPI, vol. 14(23), pages 1-15, November.
    15. Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).
    16. Alejandro G. Tuero & Laura Pozueco & Roberto García & Gabriel Díaz & Xabiel G. Pañeda & David Melendi & Abel Rionda & David Martínez, 2017. "Economic Impact of the Use of Inertia in an Urban Bus Company," Energies, MDPI, vol. 10(7), pages 1-17, July.
    17. Rouhani, Omid M. & Oliver Gao, H., 2014. "An advanced traveler general information system for Fresno, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 254-267.
    18. Hao Chen & Hesham A. Rakha, 2020. "Battery Electric Vehicle Eco-Cooperative Adaptive Cruise Control in the Vicinity of Signalized Intersections," Energies, MDPI, vol. 13(10), pages 1-16, May.
    19. Dragan Lazarević & Libor Švadlenka & Valentina Radojičić & Momčilo Dobrodolac, 2020. "New Express Delivery Service and Its Impact on CO 2 Emissions," Sustainability, MDPI, vol. 12(2), pages 1-29, January.
    20. Carvalho, Irene & Baier, Thomas & Simoes, Ricardo & Silva, Arlindo, 2012. "Reducing fuel consumption through modular vehicle architectures," Applied Energy, Elsevier, vol. 93(C), pages 556-563.
    21. Zhang, Jian & Tang, Tie-Qiao & Yan, Yadan & Qu, Xiaobo, 2021. "Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging," Applied Energy, Elsevier, vol. 282(PA).
    22. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    23. Sahoo, Lalit Kumar & Bandyopadhyay, Santanu & Banerjee, Rangan, 2014. "Benchmarking energy consumption for dump trucks in mines," Applied Energy, Elsevier, vol. 113(C), pages 1382-1396.
    24. Inbal Haas & Shlomo Bekhor, 2017. "An Alternative Approach for Solving the Environmentally-Oriented Discrete Network Design Problem," Networks and Spatial Economics, Springer, vol. 17(3), pages 963-988, September.
    25. Watling, David P. & Connors, Richard D. & Chen, Haibo, 2023. "Fuel-optimal truck path and speed profile in dynamic conditions: An exact algorithm," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1456-1472.

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