Smart City Gnosys

Smart city article details

Title	Reinforcement Learning For Vehicle Route Optimization In Sumo
ID_Doc	44889
Authors	Koh S.S.; Zhou B.; Yang P.; Yang Z.; Fang H.; Feng J.
Year	2019
Published	Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018
DOI	http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00242
Abstract	Urban traffic control becomes a major topic for urban development lately as the growing number of vehicles in the transportation network. Recent advances in reinforcement learning methodologies have shown highly potential results in solving complex traffic control problem with multi-dimensional states and actions. It offers an opportunity to build a sustainable and resilient urban transport network for a variety of objects, such as minimizing the fuel consumption or improving the safety of roadway. Inspired by this promising idea, this paper presents an experience how to apply reinforcement learning method to optimize the route of a single vehicle in a network. This experience uses an open-source simulator SUMO to simulate the traffic. It shows promising result in finding the best route and avoiding the congestion path. © 2018 IEEE.
Author Keywords	Reinforcement Learning; Route Optimization; Traffic Control; Transportation Network

Similar Articles

Id	Similarity	Authors	Title	Published
1391	0.905	Giannini F.; Franzè G.; Fortino G.; Pupo F.	A Deep Reinforcement Learning Strategy For Intelligent Transportation Systems	Internet of Things, Part F1719 (2024)
44895	0.89	Barta Z.; Kovács S.; Botzheim J.	Reinforcement Learning-Based Cooperative Traffic Control System	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14811 LNAI (2024)
47163	0.888	Guillén A.B.; Barbecho Bautista P.A.; Igartua M.A.	Rutge: Realistic Urban Traffic Generator For Urban Environments Using Deep Reinforcement Learning And Sumo Simulator	International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings (2025)
38227	0.883	Lam H.C.; Wong R.T.K.; Jasser M.B.; Chua H.N.; Issa B.	Multi-Junction Traffic Light Control System With Reinforcement Learning In Sunway Smart City	2024 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2024 - Proceedings (2024)
11516	0.882	Giannini F.; Franze G.; Pupo F.; Fortino G.	Autonomous Vehicles In Smart Cities: A Deep Reinforcement Learning Solution	Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022 (2022)
18057	0.881	Mittal M.; Sehgal A.; Varshney N.; Kumar S.P.; Boob N.S.; Reddy R.A.	Deep Reinforcement Learning For Optimizing Route Planning In Urban Traffic	IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025 (2025)
58613	0.874	Paduraru C.; Paduraru M.; Stefanescu A.	Traffic Light Control Using Reinforcement Learning: A Survey And An Open Source Implementation	International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings (2022)
43250	0.873	Sattarzadeh A.R.; Pathirana P.N.	Probabilistic Graph Models: A Key To Boosting Deep Reinforcement Learning In Urban Traffic Networks	2025 17th International Conference on Computer and Automation Engineering, ICCAE 2025 (2025)
50634	0.87	Ahmadi K.; Allan V.H.	Smart City: Application Of Multi-Agent Reinforcement Learning Systems In Adaptive Traffic Management	2021 IEEE International Smart Cities Conference, ISC2 2021 (2021)
40923	0.869	Zhang Z.; Zhou B.; Zhang B.; Cheng P.; Lee D.-H.; Hu S.	Optimizing Traffic Signal Control In Mixed Traffic Scenarios: A Predictive Traffic Information-Based Deep Reinforcement Learning Approach	2024 Forum for Innovative Sustainable Transportation Systems, FISTS 2024 (2024)