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Studying transportation problems with the SMARTS simulator (demo paper)

Authors :
Jianzhong Qi
Shanika Karunasekera
Hairuo Xie
Kotagiri Ramamohanarao
Lars Kulik
Rui Zhang
Egemen Tanin
Source :
SIGSPATIAL/GIS
Publication Year :
2018
Publisher :
ACM, 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 extended to simulate specific scenarios of interest to users. In this demonstration we show how SMARTS can be used to simulate an intersection design, the P-turn, in a major intersection of Melbourne. Our simulation shows the impact of the design on the traffic flow, confirming the justification for introduction of the particular intersection. The demo can be used as a template for future use of the simulator for other traffic problems.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Accession number :
edsair.doi...........0c7fa76eb39036a701a28ffa3d2a07b8