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A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system

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  • Li, Xin
  • Wang, Tianqi
  • Xu, Weihan
  • Li, Huaiyue
  • Yuan, Yun

Abstract

Since the flexibility and adaptability of demand responsive transit (DRT) give more potentials and spaces of embracing eco-routing strategy, this study develops a novel framework of embedding eco-routing technology into DRT service, in which module of vehicle dynamics and module of fuel consumption/emission are specifically integrated in response to varied traffic conditions and road types when designing of DRT system. To this end, a mix-integer model and the customized DP-based heuristic are proposed to determine eco-oriented DRT routes and schedules. A series of numerical cases based on realistic road networks are designed to unfold the comparison of the performance of eco-oriented DRT against the traditional one. The results demonstrate that introduction of eco-routing is able to significantly reduce the energy consumption and emissions by up to 37% in companying with a slight increase of total travel time and routing distance. The well-developed models and algorithm make the study is ready for real-world applications.

Suggested Citation

  • Li, Xin & Wang, Tianqi & Xu, Weihan & Li, Huaiyue & Yuan, Yun, 2022. "A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:transe:v:157:y:2022:i:c:s1366554521003148
    DOI: 10.1016/j.tre.2021.102556
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