Conference Proceedings

Studying Transportation Problems with the SMARTS Simulator (Demo Paper)

Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi, Kotagiri Ramamohanarao, F BanaeiKashani (ed.), E Hoel (ed.), RH Guting (ed.), R Tamassia (ed.), L Xiong (ed.)

26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018) | ASSOC COMPUTING MACHINERY | Published : 2018

Abstract

Microscopic traffic simulators play a major role to carry research on transportation problems. Microscopic traffic simulation is powerful because it enables efficient analysis of complex traffic problems to the highest level of detail. We developed Scalable Microscopic Adaptive Road Traffic Simulator (SMARTS) [14] that can perform large-scale simulations at a high speed by utilizing distributed computing resources. Previous results show that SMARTS can run 1.14 times faster than real time when simulating one million vehicles for the city of Melbourne on 30 distributed processors, while producing highly accurate simulation results. SMARTS’ pluggable architecture allows it to be easily extende..

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