cam a22 7 4500 317000306 CHVBK 20201114065539.0 cr ## ######## 140620s2014 sz sm 00 0 eng d oai:infoscience.epfl.ch:198744 urn:nbn:ch:bel-epfl-thesis6122-7 urn 10.5075/epfl-thesis-6122 doi (SNL)991017980977503976 (NEBIS)010143433 (Sz)991017980977503976 (Sz)001871314 Sz ger rda 000 23sdnb Ji Yuxuan 1983- (DE-588)1116526565 Verfasser aut Spatial and Temporal Analysis of Congestion in Urban Transportation Networks Yuxuan Ji Lausanne 2014 1 Online-Ressource Thèse no 6122 EPF Lausanne, 2014 application/pdf Research on congestion and propagation in large urban city networks has been mainly based on microsimulations of link-level traffic dynamics. However, both the unpredictability of travel behaviors and high complexity of accurate physical modeling remain challenging and simulation results may be far time consuming and not realistic. It has been recently shown that amacroscopic fundamental diagram (MFD) linking space-mean network flow, density and speed exists in the urban transportation networks under some conditions. An MFD is further well defined if the network is homogeneous with links of similar properties. This collective behavior concept can also be utilized to introduce simple control strategies to improve mobility in homogeneous city centers without the need for details in individual links. However many real urban transportation networks are heterogeneous with different levels of congestion. In order to study the existence of MFD and the feasibility of simple control strategies to improve network performance in heterogeneously congested networks, this thesis mainly focuses on three issues: (1) static partitioning of traffic networks, (2) congestion propagation and dynamic partitioning, and (3) the effect of network structure on congestion propagation. Firstly, we study the static partitioning of transportation networks based on the spatial features of congestion during a specific time period. A partitioning mechanism which consists of three consecutive algorithms, is designed to minimize the variance of link densities while maintaining the spatial compactness of the clusters. Secondly we explore the dynamics of traffic conditions and thus the corresponding dynamic partitioning scheme. We reveal the hidden information during the process of congestion formation by exploring empirical data from large-scale urban networks. Specifically, we aim at studying the spatiotemporal relation of congested links, observing congestion propagation from an macroscopic perspective, and finally identifying critical congestion regimes to aid the design of peripheral control strategies. Finally, we study the formation of traffic congestion by simulation in large scale cities with different network structures. A parsimonious model of congestion propagation is developed and validated by real data in San Francisco in US and Shenzhen in China (20000 taxis with 30 million logs per day). The effect of network structure on congestion propagation is investigated by simulations conducted in a variety of network structures. STADTVERKEHR + STADTVERKEHRSPLANUNG (VERKEHR UND TRANSPORT) ger (ETHUDK)000032321 ethudk STAU (VERKEHR UND TRANSPORT) ger (ETHUDK)000032364 ethudk VERKEHRSMODELLE + VERKEHRSSIMULATION (VERKEHR UND TRANSPORT) ger (ETHUDK)000032319 ethudk Hochschulschrift (DE-588)4113937-9 gnd-content Hochschulschrift gnd-content xehelv xediss 2017 000 snl ehelv sb 2017/26 000 snl-sb u STADTVERKEHR + STADTVERKEHRSPLANUNG (VERKEHR UND TRANSPORT) ger 656.026*3 nebis E1 u STAU (VERKEHR UND TRANSPORT) ger 656.04*1 nebis E1 u VERKEHRSMODELLE + VERKEHRSSIMULATION (VERKEHR UND TRANSPORT) ger 656.02*2 nebis E1 u URBAN TRANSPORT PLANNING (TRANSPORTATION AND TRAFFIC) eng 656.026*3 nebis E1 u TRAFIC URBAIN + PLANIFICATION DU TRAFIC URBAIN (TRANSPORTS ET TRAFIC) fre 656.026*3 nebis E1 u CONGESTION (TRANSPORTATION AND TRAFFIC) eng 656.04*1 nebis E1 u ENCOMBREMENT DU TRAFIC (TRANSPORTS ET TRAFIC) fre 656.04*1 nebis E1 u TRANSPORT MODELS + TRAFFIC SIMULATION (TRANSPORTATION AND TRAFFIC) eng 656.02*2 nebis E1 u MODÈLES DE TRAFIC + SIMULATION DE TRAFIC (TRANSPORTS ET TRAFIC) fre 656.02*2 nebis E1 École polytechnique fédérale de Lausanne (DE-588)1003500-X Grad-verleihende Institution dgg SNL NB001 NB999 - chb99 - Record https://infoscience.epfl.ch/record/198744 Thesis https://infoscience.epfl.ch/record/198744/files/EPFL_TH6122.pdf URN https://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:bel-epfl-thesis6122-7 http://www.e-helvetica.nb.admin.ch/directAccess?callnumber=bel-epfl-thesis6122-7 BK020353 XK020053 XK020000 1 Hochschulschrift = Thèse/Mémoire 2 CF Elektron. Daten Fernzugriff=Fichier online EPF nebis E2 e-library 2014 these nebis EC 158 E01-20140630 026 E01-20140630 NEBIS E16 E16 RH HB 16886 NEBIS E02 E02 E02SP ZTH 6122 SNL 100 1- Ji Yuxuan 1983- (DE-588)1116526565 Verfasser aut SNL 710 2- École polytechnique fédérale de Lausanne (DE-588)1003500-X Grad-verleihende Institution dgg SNL 856 40 Record https://infoscience.epfl.ch/record/198744 SNL 856 40 Thesis https://infoscience.epfl.ch/record/198744/files/EPFL_TH6122.pdf SNL 856 4- URN https://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:bel-epfl-thesis6122-7 SNL 856 42 http://www.e-helvetica.nb.admin.ch/directAccess?callnumber=bel-epfl-thesis6122-7 NEBIS 700 1- Ji Yuxuan NEBIS 700 1- Geroliminis Nikolaos 1980- (DE-588)1089652577 Akademischer Betreuer dgs NEBIS 856 -- https://dx.doi.org/10.5075/epfl-thesis-6122 Online via EPFL E-Library E02 SWISSBIB 317000306 ORANGE 317000306