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Green Eco-Driving Effects in Non-Congested Cities

Author

Listed:
  • Juan Francisco Coloma

    (Betancourt Research Group, Universidad de Extremadura, 06071 Badajoz, Spain)

  • Marta García

    (Betancourt Research Group, Universidad de Extremadura, 06071 Badajoz, Spain)

  • Yang Wang

    (Transport Research Centre, TRANSyT, Universidad Politecnica de Madrid, 28040 Madrid, Spain)

  • Andrés Monzón

    (Transport Research Centre, TRANSyT, Universidad Politecnica de Madrid, 28040 Madrid, Spain)

Abstract

Despite technological advances in engines and fuels, the transportation sector is still one of the largest emitters of greenhouse gas (GHG). Driving patterns, including eco-driving techniques, are a complementary measure for saving GHG emissions. Most eco-driving studies so far have been conducted in large cities suffering chronic congestion problems. The aim of this research is therefore to analyse the potential of driver behaviour for reducing emissions in a small non-congested city. Driver performance parameters such as travel speeds, number of stops, revolutions per minute, and maximum acceleration-deceleration are also studied. The methodology is designed to measure the effect of both eco-driving and eco-routing under real traffic conditions. A campaign was carried out in the city of Caceres (Spain) to collect data on various types of roads under different traffic conditions. This research concludes that eco-driving leads to CO 2 savings on all routes and road types of 17% in gasoline engines and 21% in diesel, although travel times are increased by 7.5% on average. The shortest route is also the most ecological, regardless of the traffic volume and characteristics, implying that consumption in non-congested cities depends mainly on distance travelled rather than driving patterns in terms of number of stops, speed and acceleration.

Suggested Citation

  • Juan Francisco Coloma & Marta García & Yang Wang & Andrés Monzón, 2017. "Green Eco-Driving Effects in Non-Congested Cities," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:28-:d:124022
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    References listed on IDEAS

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    1. Gennaro Nicola Bifulco & Francesco Galante & Luigi Pariota & Maria Russo Spena, 2015. "A Linear Model for the Estimation of Fuel Consumption and the Impact Evaluation of Advanced Driving Assistance Systems," Sustainability, MDPI, vol. 7(10), pages 1-18, October.
    2. Francesco Bottiglione & Tommaso Contursi & Angelo Gentile & Giacomo Mantriota, 2014. "The Fuel Economy of Hybrid Buses: The Role of Ancillaries in Real Urban Driving," Energies, MDPI, vol. 7(7), pages 1-19, July.
    3. Hickman, Robin & Ashiru, Olu & Banister, David, 2010. "Transport and climate change: Simulating the options for carbon reduction in London," Transport Policy, Elsevier, vol. 17(2), pages 110-125, March.
    4. Fiamma Perez-Prada & Andres Monzon & Cristina Valdes, 2017. "Managing Traffic Flows for Cleaner Cities: The Role of Green Navigation Systems," Energies, MDPI, vol. 10(6), pages 1-18, June.
    5. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    6. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    7. Ye Li & Lei Bao & Wenxiang Li & Haopeng Deng, 2016. "Inventory and Policy Reduction Potential of Greenhouse Gas and Pollutant Emissions of Road Transportation Industry in China," Sustainability, MDPI, vol. 8(12), pages 1-19, November.
    8. Hua Ma & Guizhen He, 2016. "Effects of the Post-Olympics Driving Restrictions on Air Quality in Beijing," Sustainability, MDPI, vol. 8(9), pages 1-15, September.
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