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Examining the Safety, Mobility and Environmental Sustainability Co-Benefits and Tradeoffs of Intelligent Transportation Systems

Author

Listed:
  • Tian, Danyang
  • Li, Weixia
  • Wu, Guoyuan
  • Barth, Matthew J

Abstract

In this whitepaper, the authors briefly describe the three major MOEs, followed by a categorization summary based on the most recent literature. Next, a number of typical CAV applications have been examined in depth, providing a detailed analysis of the different MOEs co-benefits and tradeoffs. Further, three representative CAV applications have been examined in detail in order to show the association between the application focus and tradeoffs/co-benefits of different performance measures. The CAV applications include High Speed Differential Warning (safety-focused), Lane Speed Monitoring (mobility-focused), and Eco-Speed Harmonization (environmental impacts-focused). The authors then highlight several future research directions, including the identification of key influential factors on system performance and how to obtain co-benefits across all key MOEs. The overall intent of this whitepaper is to inform practitioners and policy makers on the potential interactions between the safety, mobility, and environmental sustainability goals of implementing specific CAV applications as part of their ITS programs. View the NCST Project Webpage

Suggested Citation

  • Tian, Danyang & Li, Weixia & Wu, Guoyuan & Barth, Matthew J, 2017. "Examining the Safety, Mobility and Environmental Sustainability Co-Benefits and Tradeoffs of Intelligent Transportation Systems," Institute of Transportation Studies, Working Paper Series qt0m49j95r, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt0m49j95r
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    Cited by:

    1. Kurani, Kenneth S., 2019. "User Perceptions of Safety and Security: A Framework for a Transition to Electric-Shared-Automated Vehicles," Institute of Transportation Studies, Working Paper Series qt40g1637b, Institute of Transportation Studies, UC Davis.
    2. Robert Ziółkowski & Zbigniew Dziejma, 2021. "Investigations of the Dynamic Travel Time Information Impact on Drivers’ Route Choice in an Urban Area—A Case Study Based on the City of Bialystok," Energies, MDPI, vol. 14(6), pages 1-14, March.

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