scholarly journals The Governance of Demand-Responsive Transit Systems—A Multi-level Perspective

2018 ◽  
pp. 207-227 ◽  
Author(s):  
Fariya Sharmeen ◽  
Henk Meurs
Keyword(s):  
Transit Systems ◽  
Multi Level ◽  
Demand Responsive Transit

scholarly journals Demand-responsive transit systems in areas with low transport demand of “smart city”

2020 ◽  
Vol 50 ◽  
pp. 160-166
Author(s):  
Andrey Gorev ◽  
Olga Popova ◽  
Aleksandr Solodkij
Keyword(s):  
Smart City ◽  
Transit Systems ◽  
Demand Responsive Transit

scholarly journals A Threshold Policy for Dispatching Vehicles in Demand-responsive Transit Systems

2019 ◽  
Vol 31 (4) ◽  
pp. 387-395
Author(s):  
Nikola Marković ◽  
Myungseob (Edward) Kim ◽  
Eungcheol Kim ◽  
Sanjin Milinković
Keyword(s):  
Optimal Threshold ◽  
Time Varying ◽  
Threshold Policy ◽  
Transit System ◽  
Travel Mode ◽  
Transit Systems ◽  
Fleet Size ◽  
Vehicle Dispatching ◽  
Simulation Based ◽  
Demand Responsive Transit

This paper considers vehicle dispatching for a flexible transit system providing doorstep services from a terminal. The problem is tackled with an easy-to-implement threshold policy, where an available vehicle is dispatched when the number of boarded passengers reaches or exceeds a certain threshold. A simulation-based approach is applied to find the threshold that minimizes the expected system-wide cost. Results show that the optimal threshold is a function of demand, which is commonly stochastic and time-varying. Consequently, the dispatching threshold should be adjusted for different times of the day. In addition, the simulation-based approach is used to simultaneously adjust dispatching threshold and fleet size. The proposed approach is the first work to analyse threshold dispatching policy. It could be used to help improve efficiency of flexible transit systems, and thereby make this sustainable travel mode more economical and appealing to users.

Meta-Heuristics for a Class of Demand-Responsive Transit Systems

2005 ◽  
Vol 17 (1) ◽  
pp. 10-24 ◽  
Author(s):  
Teodor Gabriel Crainic ◽  
Federico Malucelli ◽  
Maddalena Nonato ◽  
François Guertin
Keyword(s):  
Transit Systems ◽  
Demand Responsive Transit

Path-Based Dynamic Vehicle Dispatch Strategy for Demand Responsive Transit Systems

2021 ◽  
pp. 036119812110142
Author(s):  
Shiyu Shen ◽  
Yanfeng Ouyang ◽  
Shuai Ren ◽  
Luyun Zhao
Keyword(s):  
System Performance ◽  
Approximate Dynamic Programming ◽  
Modeling Framework ◽  
Transit Systems ◽  
Solution Approach ◽  
Demand Distribution ◽  
Passenger Demand ◽  
Vehicle Capacity ◽  
Demand Responsive Transit ◽  
Current Systems

Demand responsive transit (DRT) has the potential to provide passengers with higher accessibility and lower travel time as compared with conventional transit, and at the same time make more efficient use of vehicle capacity than traditional taxi. In many current systems, vehicles are assigned to passengers along travel paths that are chosen myopically. When information on future demand distribution is available, it would be more beneficial to dispatch transit vehicles strategically to areas with a higher probability of generating passengers. This paper proposes a mathematical model for a dynamic DRT vehicle dispatch problem. It determines in real time how the operating vehicles shall be used to serve arriving passenger demand, and which paths the vehicles should choose to achieve a balance between operator and passenger costs. The model is solved by an approximate dynamic programming (ADP) based solution approach. Case studies, including a hypothetical numerical example and a real-world case in Qingdao, China, have been conducted to demonstrate the applicability of the proposed modeling framework. Results show that the proposed ADP solution can significantly improve the overall system performance as compared with myopic benchmarks.

scholarly journals Optimization of demand-responsive transit systems using zonal strategy

2018 ◽  
Vol 22 (3) ◽  
pp. 366-381 ◽  
Author(s):  
Lin Wang ◽  
S. C. Wirasinghe ◽  
Lina Kattan ◽  
Saeid Saidi
Keyword(s):  
Transit Systems ◽  
Demand Responsive Transit
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