QarSUMO-Reference-Cited by-同舟云学术

QarSUMO

Published:2020-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Advances in Geographic Information Systems
language:
Short-container-title:

Author:

Chen Hao¹,Yang Ke²,Rizzo Stefano Giovanni³,Vantini Giovanna³,Taylor Phillip⁴,Ma Xiaosong³,Chawla Sanjay³

Affiliation:

1. University of Science and Technology of China & Qatar Computing Research Institute, HBKU

2. Tsinghua University & Qatar Computing Research Institute, HBKU

3. Qatar Computing Research Institute, HBKU

4. Princeton University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397536.3422274

Reference29 articles.

1. 2020. SUMO Projects Page. https://sumo.dlr.de/docs/Other/Projects.html 2020. SUMO Projects Page. https://sumo.dlr.de/docs/Other/Projects.html

2. A new strategy for synchronizing traffic flow on a distributed simulation using SUMO

3. David Charypar Kay W Axhausen and Kai Nagel. 2006. An event-driven queue-based microsimulation of traffic flow. Arbeitsberichte Verkehrs-und Raumplanung 406 (2006). David Charypar Kay W Axhausen and Kai Nagel. 2006. An event-driven queue-based microsimulation of traffic flow. Arbeitsberichte Verkehrs-und Raumplanung 406 (2006).

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A parallel computing framework for large-scale microscopic traffic simulation based on spectral partitioning;Transportation Research Part E: Logistics and Transportation Review;2024-01

2. A City-level High-performance Spatio-temporal Mobility Simulation System;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility;2023-11-13

3. CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. Dynamic Straggler Mitigation for Large-Scale Spatial Simulations;ACM Transactions on Spatial Algorithms and Systems;2023-04-12

5. EGO-Centric, Multi-Scale Co-Simulation to Tackle Large Urban Traffic Scenarios;IEEE Access;2023