Microsimulation analysis for network traffic assignment (MANTA) at metropolitan-scale for agile transportation planning

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Microsimulation analysis for network traffic assignment (MANTA) at metropolitan-scale for agile transportation planning

Yedavalli, Pavan / Kumar, Krishna / Waddell, Paul

Abrupt changes in the environment have triggered massive and precipitous changes in human mobility. This requires modeling entire metropolitan areas to recognize the broader effects on the network. However, there is a trade-off between increasing the level of detail of a model and decreasing computational performance. Current implementations compromise by simulating small spatial scales, and those that operate at larger scales often require access to expensive high performance computing systems or have computation times on the order of days or weeks that discourage productive research and planning. This paper introduces a new platform, MANTA (Microsimulation Analysis for Network Traffic Assignment), for traffic microsimulation at the metropolitan-scale, employing a highly efficient and parallelized GPU implementation. The runtime to simulate all morning trips, using half-second timesteps, for the nine-county San Francisco Bay Area is just over four minutes, significantly improving the state of the art in large-scale traffic microsimulation.