From Effects to Causes: Reversible Simulation and Reverse Exploration of Microscopic Traffic Models

Andelfinger, Philipp and Ivanchev, Jordan and Eckhoff, David and Cai, Wentong and Knoll, Alois (2019) From Effects to Causes: Reversible Simulation and Reverse Exploration of Microscopic Traffic Models. In: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2019), 03-05 Jun 2019, Chicago, IL, USA. Proceedings, published by ACM, New York, NY, USA, pp. 173-184.

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Official URL: http://doi.org/10.1145/3316480.3322891

Abstract

We propose an approach for reverse-in-time exploration of the state space of microscopic traffic simulations starting from a user-specified class of outcomes. As a basis for our approach, we present a reversible execution scheme applicable to common car-following and lane-changing models from the traffic simulation literature. The execution scheme permits perfect reversal of a previous forward simulation, which to our knowledge has not been attempted previously in the context of established traffic simulation models. Further, we perform reverse state space explorations directly from user-specified simulation states, i.e., reverse-in-time model checking. By exploring all sequences of possible previous states from a final state, reachability questions can be answered more conclusively than purely through forward simulations. In a case study, reverse exploration is used to identify conditions that lead to specified accident situations, with running time reductions by factors of more than 20 compared to traditional forward exploration.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-1-4503-6723-3