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Parallel agent-based modeling for improving traffic flow simulation
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DOI：10.1016/j.trip.2026.101930.png)
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Abstract
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• Parallel agent-based framework speeds up SUMO without engine changes. • Enhances real-time decision support for traffic management systems. • Vehicle and segment tasks distributed via Python multiprocessing. • Achieves up to 4×SpeedUp on large interurban traffic networks. • Real-world tests confirm runtime cut by up to 75% across different HW platforms.
Keywords:
Intelligent transportation systems
Traffic simulation
Multi-agent systems
Parallel computing
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