A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system. (January 2022)

• Record Type: Journal Article
• Authors: Li, Xin; Wang, Tianqi; Xu, Weihan; Li, Huaiyue; Yuan, Yun
• Is Part Of: Transportation research. Volume 157(2022)
• Publication Date: 2022-01
• Subjects: Eco-routing -- Demand responsive transit (DRT) -- Velocity profile -- Hybrid heuristic algorithm; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2021.102556
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: A novel framework of introducing eco-routing strategy into DRT system is designed. A mixed-integer program is developed to optimize energy efficiency of DRT service. A customized DP-based hybrid heuristic algorithm is developed. The proposed DRT system can significantly save fuel consumption and reduce emission. 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.