NDLI: Congestion patterns of traffic studied on Nanjing city dual graph

Content Provider	IEEE Xplore Digital Library
Author	Hong-Li Zeng Yan-Dong Guo Chen-Ping Zhu Mitrovic, M. Tadic, B.
Copyright Year	2009
Description	Author affiliation: Department of Theoretical Physics, Jo¿ef Stefan Institute, Ljubljana, Slovenia (Mitrovic, M.; Tadic, B.) \|\| Department of Applied Physics, Nanjing University of Aeronautics and Astronautics, China (Hong-Li Zeng; Yan-Dong Guo; Chen-Ping Zhu)
Abstract	Mapping the streets and street-crossings of the Nanjing city plan onto nodes and edges of a dual graph, we implement the traffic model of vehicles moving towards specified destinations with navigation and queuing. The navigation rules with local search within the next-nearst-neighborhood are applied both with and without dynamical feedback. The traffic is autonomously driven with a parameter which controls traffic density and maximum queue lengths are limited by the actual lengths of streets. The analysis of the simulated traffic load time series indicates three regimes, depending on the traffic density: free flow, regime with temporal congestions, and congested traffic. We determine the probability distributions of the waiting times in queues and travel times of vehicles, as well as the distributions of the local loads on nodes and edges. With the spectral analysis of the weighted matrix of traffic load on the edges of the dual graph, and mapping back to the real space, we identify geographically distinct regions which have different congestion patterns.
Starting Page	1
Ending Page	8
File Size	1367087
Page Count	8
File Format	PDF
ISBN	9781424432974
DOI	10.1109/ICDSP.2009.5201241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-05
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cities and towns Traffic control Navigation Telecommunication traffic Remotely operated vehicles Feedback Load flow analysis Time series analysis Analytical models Probability distribution patterns Traffic congestion dual graph
Content Type	Text
Resource Type	Article

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