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Vector Maps Mobile Application for Sustainable Eco-Driving Transportation Route Selection

Author

Listed:
  • Vahid Balali

    (Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, CA 90840, USA)

  • Soheil Fathi

    (UrbSys Lab, University of Florida, Gainesville, FL 32611, USA)

  • Mehrdad Aliasgari

    (Department of Computer Engineering and Computer Science, California State University, Long Beach, CA 90840, USA)

Abstract

The decisions managing all modes of transportation are currently based on the traffic rate and travel time. However, other factors such as Green House Gas (GHG) emissions, the sustainability index, fuel consumption, and travel costs are not considered. Therefore, more comprehensive methods need to be implemented to improve transportation systems and support users’ decision making in their daily commute. This paper addresses current challenges by utilizing data analytics derived from our proposed mobile application. The proposed application quantifies various factors of each transportation mode including but not limited to the cost, trip duration, fuel consumption, and Carbon Dioxide (CO 2 ) emissions. All calculated travel costs are based on the real-time gas prices and toll fees. The users are also able to navigate to their destination and update the total travel costs in real-time. The emissions data per trip basis are aggregated to provide analytics of emissions usage. The traffic data is collected for the Southern California region and the effectiveness of the application is evaluated by twenty participants from California State University, Long Beach. The results demonstrate the application’s impacts on users’ decision-making and the propriety of the factors used in route selection. The proposed application can foster urban planning and operations vis-à-vis daily commutes, and as a result improve the citizens’ quality of life in various aspects.

Suggested Citation

  • Vahid Balali & Soheil Fathi & Mehrdad Aliasgari, 2020. "Vector Maps Mobile Application for Sustainable Eco-Driving Transportation Route Selection," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5584-:d:383105
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    References listed on IDEAS

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    1. Mohammad Mahanpoor & Saeed Monajjem & Vahid Balali, 2019. "Sustainable Highway Maintenance: Optimization of Existing Highway Vertical Alignment Considering Pavement Condition," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
    2. Soheil Fathi & Ravi S. Srinivasan & Charles J. Kibert & Ruth L. Steiner & Emre Demirezen, 2020. "AI-Based Campus Energy Use Prediction for Assessing the Effects of Climate Change," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    3. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    4. Barth, Matthew & Boriboonsomsin, Kanok, 2009. "Traffic Congestion and Greenhouse Gases," University of California Transportation Center, Working Papers qt3vz7t3db, University of California Transportation Center.
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    Cited by:

    1. Hidayati Ramli & Zahirah Mokhtar Azizi & Niraj Thurairajah, 2024. "Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour," Energies, MDPI, vol. 17(4), pages 1-28, February.

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