TRANSIT-GYM: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
| Autor: | Abhishek Dubey, Philip Pugliese, Yuche Chen, Ruixiao Sun, Himanshu Neema, Rongze Gui, Joseph Severino, Juliette Ugirumurera, Aron Laszka |
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| Rok vydání: | 2021 |
| Předmět: |
Dynamic simulation
Transportation planning Operations research Computer science Vehicle routing problem FOS: Electrical engineering electronic engineering information engineering Traffic simulation Systems and Control (eess.SY) Energy consumption Computational problem Heuristics Electrical Engineering and Systems Science - Systems and Control Parametric statistics |
| Zdroj: | SMARTCOMP |
| DOI: | 10.1109/smartcomp52413.2021.00030 |
| Popis: | Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assignments to reduce maintenance and operation codes, and (c) ensuring equitable and fair coverage to areas with low ridership. Optimizing these objectives presents a hard computational problem due to the size and complexity of the decision space. State-of-the-art methods formulate these problems as variants of the vehicle routing problem and use data-driven heuristics for optimizing the procedures. However, the evaluation and training of these algorithms require large datasets that provide realistic coverage of various operational uncertainties. This paper presents a dynamic simulation platform, called Transit-Gym, that can bridge this gap by providing the ability to simulate scenarios, focusing on variation of demand models, variations of route networks, and variations of vehicle-to-trip assignments. The central contribution of this work is a domain-specific language and associated experimentation tool-chain and infrastructure to enable subject-matter experts to intuitively specify, simulate, and analyze large-scale transit scenarios and their parametric variations. Of particular significance is an integrated microscopic energy consumption model that also helps to analyze the energy cost of various transit decisions made by the transportation agency of a city. Both Rongze Gui and Ruixiao Sun contributed to the paper equally |
| Databáze: | OpenAIRE |
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