Towards a Benchmark for the Quantitative Evaluation of Traffic Simulators

Smart city projects, infrastructure planning, and traffic engineering are some of the applications where traffic simulations are playing an increasingly important role. Although many traffic simulators, commercial or open-sourced, are available at our disposal today, choosing the one that best fits a user's requirements is usually not possible by taking into account only the qualitative aspects and features of the simulator. In resource-constrained simulation platforms, performing traffic simulations with less memory usage and faster execution time is always highly coveted. In this paper, we propose a quantitative benchmarking approach for evaluating the performance of traffic simulator, based on commonplace scenarios and real-life city maps.