About: Urban traffic modeling and analysis

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Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different informations. Historical and recent information of a traffic network about its density and flow, a model of the transport network infrastructure and algorithms referring to both spatial and temporal dimensions. The final objective is to provide a better optimization of the traffic infrastructure such as traffic lights. Those optimizations should result into a decrease of the travel times, pollution and fuel consumption.

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rdfs:label	Urban traffic modeling and analysis (en)
rdfs:comment	Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different informations. Historical and recent information of a traffic network about its density and flow, a model of the transport network infrastructure and algorithms referring to both spatial and temporal dimensions. The final objective is to provide a better optimization of the traffic infrastructure such as traffic lights. Those optimizations should result into a decrease of the travel times, pollution and fuel consumption. (en)
dcterms:subject	Traffic simulation
Wikipage page ID	48514357 (xsd:integer)
Wikipage revision ID	1074550601 (xsd:integer)
Link from a Wikipage to another Wikipage	Catastrophe theory Bayesian network Traffic simulation Percolation theory Inference Intelligent transportation system Generalized linear model Network theory Global Positioning System Nonparametric statistics Machine learning Macroscopic traffic flow model Autoregressive integrated moving average Transport network Floating car data Kalman filter Traffic congestion Nonparametric regression Advanced traveller information system Autoregressive model Autoregressive–moving-average model Network science Moving-average model Statistical relational learning Time delay neural network Neural networks ARIMA dbr:Urban_traffic
sameAs	Urban traffic modeling and analysis Urban traffic modeling and analysis
dbp:wikiPageUsesTemplate	dbt:Orphan
has abstract	Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different informations. Historical and recent information of a traffic network about its density and flow, a model of the transport network infrastructure and algorithms referring to both spatial and temporal dimensions. The final objective is to provide a better optimization of the traffic infrastructure such as traffic lights. Those optimizations should result into a decrease of the travel times, pollution and fuel consumption. To survey and manage traffic infrastructures, cities can provide themselves with Intelligent transportation system (ITS) which are especially meaningful in densely urbanized areas. They provide the possibility to better analyze and manage a transport network impact of external factors within a short-term vision, with the daily fluctuate density of the transport network. And over a long term vision, with changes as th increase of motorization, urbanization, population growth and changes in population density. At another end, motorists can use Advanced traveler information system (ATIS) which bring processed data to the end user to help him taking the best directions. Researchers work on different level to make progress into traffic analysis, by collecting traffic data from different sources, modeling traffic flows and network, and developing algorithms to either predict traffic states in a far or a short-term future. (en)
prov:wasDerivedFrom	wikipedia-en:Urban_traffic_modeling_and_analysis?oldid=1074550601&ns=0
page length (characters) of wiki page	15129 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Urban_traffic_modeling_and_analysis
is foaf:primaryTopic of	wikipedia-en:Urban_traffic_modeling_and_analysis

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