Smart City Gnosys

Smart city article details

Title	A Resilience-Oriented Evaluation And Identification Of Critical Thresholds For Traffic Congestion Diffusion
ID_Doc	4087
Authors	Chen H.; Zhou R.; Chen H.; Lau A.
Year	2022
Published	Physica A: Statistical Mechanics and its Applications, 600
DOI	http://dx.doi.org/10.1016/j.physa.2022.127592
Abstract	Identifying, evaluating, and managing traffic congestion is crucial to constructing smart cities. However, there are few studies on congestion quantification from the system perspective. We symbolized traffic congestion as an internal disturbance and proposed a resilience-oriented assessment method to evaluate traffic state and effectively identify the critical threshold of traffic congestion diffusion. We integrated multi-dimensional indexes to represent the network's resilience and constructed the congestion index from both resilience and transport system perspectives. The network's minimum required performance (MRP) and the critical threshold of congestion diffusion are calculated based on the percolation theory. The results showed that this method has more stability and timeliness than typical approaches and accurately identifies critical instants when traffic congestion diffusion. Sensitivity analysis further verifies that the MRP is indispensable in traffic state assessment. This method can prejudge the crucial instant of traffic congestion diffusion and help traffic management departments build efficient response procedures. © 2022 Elsevier B.V.
Author Keywords	Percolation theory; Resilience assessment; Road networks; Traffic congestion; Traffic state

Similar Articles

Id	Similarity	Authors	Title	Published
32624	0.872	Rakshika S.; Shravya U.; Roy Dey S.	Intelligent Traffic Systems: A Graph Analytics Approach For Sustainable Transportation Networks Using Bengaluru Traffic	2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023 (2023)
15628	0.867	Di Meco L.; Degli Esposti M.; Bellisardi F.; Bazzani A.	Congestion Transition On Random Walks On Graphs	Entropy, 26, 8 (2024)
28277	0.866	Mohanty A.; Mohapatra A.G.; Mohanty S.K.	Graph-Based Analysis For Optimizing Traffic Flow In Urban Networks	Neural Networks and Graph Models for Traffic and Energy Systems (2025)
25813	0.865	Samal S.R.; Mohanty M.; Gorzelańczyk P.	Exploring The Traffic Congestion And Improving Travel Time Reliability Measures In Heterogeneous Traffic Environments: A Focus On Developing Countries	Communications - Scientific Letters of the University of Žilina, 25, 4 (2023)
934	0.862	Bakir D.; Moussaid K.; Chiba Z.; Abghour N.	A Comprehensive Review Of Traffic Congestion Prediction Models: Machine Learning And Statistical Approaches	2024 IEEE International Conference on Computing, ICOCO 2024 (2024)
2649	0.858	Shi L.	A Mixed Arima And Grey Relational Analysis Model For Predicting Urban Traffic Congestion	2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024 (2024)
22428	0.855	Sreelekha M.; Janarthanan M.	Efficient Traffic Routing With Temporal Fusion Transformers: Addressing Urban Congestion Challenges	SSRG International Journal of Electronics and Communication Engineering, 11, 11 (2024)
44232	0.851	Idwan S.; Zubairi J.A.; Haider S.A.; Etaiwi W.	Reactive Traffic Congestion Control By Using A Hierarchical Graph	Journal of Universal Computer Science, 30, 4 (2024)
14795	0.851	Dogo E.M.; Makaba T.; Afolabi O.J.; Ajibo A.C.	Combating Road Traffic Congestion With Big Data: A Bibliometric Review And Analysis Of Scientific Research	EAI/Springer Innovations in Communication and Computing (2021)
44451	0.85	Jain N.; Parwanda R.; Chauhan A.	Real-Time Smart Traffic Control And Simulation: An Approach For Urban Congestion Management	2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023 (2023)