Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Joint Optimization of Zone Area and Headway for Demand Responsive Transit Service under Heterogeneous Environment
https://orcid.org/http://orcid.org/0000-0001-8790-4958
https://orcid.org/http://orcid.org/0000-0001-8771-8194
https://orcid.org/http://orcid.org/0000-0001-5739-1290
https://orcid.org/http://orcid.org/0000-0002-7352-6607
This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment (i.e., community boundary, land use, demand distribution, line-haul travel time, etc.) under the advent of Mobility-as-a-Service (MaaS). Since most previous models over-simplified conditions of the DRT service area, we propose a new modeling approach to formulate the operator and user costs. Passengers with varied expectations of vehicle arrival time at a drop-off location are considered. The average cost is minimized through optimizing service zone areas and associated headways subject to practical constraints (i.e., policy headway and vehicle capacity). A real-world region in the City of Calgary, Canada, is applied to demonstrate the applicability of the model. The impact of real-time vehicle arrival information to the optimal solution is assessed. The relationship between system parameters (i.e., line-haul travel time, demand density, vehicle capacity, and passenger composition, etc.) and the optimized solutions (i.e., zone area, headway, and costs) is explored through the sensitivity analysis.
Joint Optimization of Zone Area and Headway for Demand Responsive Transit Service under Heterogeneous Environment
https://orcid.org/http://orcid.org/0000-0001-8790-4958
https://orcid.org/http://orcid.org/0000-0001-8771-8194
https://orcid.org/http://orcid.org/0000-0001-5739-1290
https://orcid.org/http://orcid.org/0000-0002-7352-6607
This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment (i.e., community boundary, land use, demand distribution, line-haul travel time, etc.) under the advent of Mobility-as-a-Service (MaaS). Since most previous models over-simplified conditions of the DRT service area, we propose a new modeling approach to formulate the operator and user costs. Passengers with varied expectations of vehicle arrival time at a drop-off location are considered. The average cost is minimized through optimizing service zone areas and associated headways subject to practical constraints (i.e., policy headway and vehicle capacity). A real-world region in the City of Calgary, Canada, is applied to demonstrate the applicability of the model. The impact of real-time vehicle arrival information to the optimal solution is assessed. The relationship between system parameters (i.e., line-haul travel time, demand density, vehicle capacity, and passenger composition, etc.) and the optimized solutions (i.e., zone area, headway, and costs) is explored through the sensitivity analysis.
Joint Optimization of Zone Area and Headway for Demand Responsive Transit Service under Heterogeneous Environment
https://orcid.org/http://orcid.org/0000-0001-8790-4958
https://orcid.org/http://orcid.org/0000-0001-8771-8194
https://orcid.org/http://orcid.org/0000-0001-5739-1290
https://orcid.org/http://orcid.org/0000-0002-7352-6607
This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment (i.e., community boundary, land use, demand distribution, line-haul travel time, etc.) under the advent of Mobility-as-a-Service (MaaS). Since most previous models over-simplified conditions of the DRT service area, we propose a new modeling approach to formulate the operator and user costs. Passengers with varied expectations of vehicle arrival time at a drop-off location are considered. The average cost is minimized through optimizing service zone areas and associated headways subject to practical constraints (i.e., policy headway and vehicle capacity). A real-world region in the City of Calgary, Canada, is applied to demonstrate the applicability of the model. The impact of real-time vehicle arrival information to the optimal solution is assessed. The relationship between system parameters (i.e., line-haul travel time, demand density, vehicle capacity, and passenger composition, etc.) and the optimized solutions (i.e., zone area, headway, and costs) is explored through the sensitivity analysis.
Joint Optimization of Zone Area and Headway for Demand Responsive Transit Service under Heterogeneous Environment
KSCE J Civ Eng
Wang, Lin (Autor:in) / Chien, Steven (Autor:in) / Wirasinghe, S. Chan (Autor:in) / Kattan, Lina (Autor:in)
KSCE Journal of Civil Engineering ; 26 ; 3031-3042
01.07.2022
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Improving Transit Service Quality and Headway Regularity with Real-Time Control
| British Library Online Contents | 2001