BTE-Sim: Fast Simulation Environment For Public Transportation

Rishav Sen, Toan Tran, Seyedmehdi Khaleghian, Philip Pugliese, Mina Sartipi, Himanshu Neema, Abhishek Dubey

2022 IEEE International Conference on Big Data (Big Data) 2022

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Why This Matters

Traditional transit simulation tools are computationally expensive, limiting their practical use for operational planning and optimization. Transit planners need tools that can rapidly evaluate different service designs and operational strategies without simulating every second of a full day. This work is important because it demonstrates how background traffic can be efficiently modeled to dramatically speed simulation while maintaining accuracy, enabling practical use of simulation tools for transit planning.

What We Did

This paper presents BTE-Sim, a fast simulation environment for public transit systems that enables rapid evaluation of transit designs and operational strategies. The system combines a background traffic elimination module that speeds simulation by efficiently modeling traffic flow, with detailed transit simulation for buses and passengers. The simulator is built on SUMO and includes capabilities for modeling multiple transit service types including fixed-route and demand-responsive services.

Key Results

The BTE-Sim simulator achieves approximately 13x speedup compared to conventional simulation approaches while maintaining accuracy comparable to detailed simulations. The system successfully simulates complete transit networks including multiple service types and evaluates operational performance metrics. The simulator's efficiency enables practical use in transit planning for evaluating different route designs and service configurations.

Full Abstract

Cite This Paper

@inproceedings{sen2022,
  author = {Sen, Rishav and Tran, Toan and Khaleghian, Seyedmehdi and Pugliese, Philip and Sartipi, Mina and Neema, Himanshu and Dubey, Abhishek},
  booktitle = { 2022 IEEE International Conference on Big Data (Big Data) },
  title = { BTE-Sim: Fast Simulation Environment For Public Transportation },
  year = {2022},
  address = {Los Alamitos, CA, USA},
  month = {dec},
  pages = {2886-2894},
  publisher = {IEEE Computer Society},
  abstract = { The public commute is essential to all urban centers and is an efficient and environment-friendly way to travel. Transit systems must become more accessible and user-friendly. Since public transit is majorly designed statically, with very few improvements coming over time, it can get stagnated, unable to update itself with changing population trends. To better understand transportation demands and make them more usable, efficient, and demographic-focused, we propose a fast, multi-layered transit simulation that primarily focuses on public transit simulation (BTE-Sim). BTE-Sim is designed based on the population demand, existing traffic conditions, and the road networks that exist in a region. The system is versatile, with the ability to run different configurations of the existing transit routes, or inculcate any new changes that may seem necessary, or even in extreme cases, new transit network design as well. In all situations, it can compare multiple transit networks and provide evaluation metrics for them. It provides detailed data on each transit vehicle, the trips it performs, its on-time performance and other necessary factors. Its highlighting feature is the considerably low computation time it requires to perform all these tasks and provide consistently reliable results. },
  contribution = {lead},
  doi = {10.1109/BigData55660.2022.10020973},
  keywords = {transit simulation, traffic modeling, computational efficiency, simulation environment, transit planning tools, operational evaluation, vehicle routing, transportation networks},
  url = {https://doi.ieeecomputersociety.org/10.1109/BigData55660.2022.10020973},
  month_numeric = {12}
}
Quick Info
Year 2022
DOI 10.1109/BigData55660.2022.1...
Keywords
transit simulation traffic modeling computational efficiency simulation environment transit planning tools operational evaluation vehicle routing transportation networks
Research Areas
transit planning scalable AI
Search Tags

Fast, Simulation, Environment, Public, Transportation, transit simulation, traffic modeling, computational efficiency, simulation environment, transit planning tools, operational evaluation, vehicle routing, transportation networks, transit, planning, scalable AI, 2022, Sen, Tran, Khaleghian, Pugliese, Sartipi, Neema, Dubey