Urban traffic modeling and analysis (original) (raw)
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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| dbo: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) |
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| dbo:wikiPageWikiLink | dbr:Catastrophe_theory dbr:Bayesian_network dbc:Traffic_simulation dbr:Percolation_theory dbr:Inference dbr:Intelligent_transportation_system dbr:Generalized_linear_model dbr:Network_theory dbr:Global_Positioning_System dbr:Nonparametric_statistics dbr:Machine_learning dbr:Macroscopic_traffic_flow_model dbr:Autoregressive_integrated_moving_average dbr:Transport_network dbr:Floating_car_data dbr:Kalman_filter dbr:Traffic_congestion dbr:Nonparametric_regression dbr:Advanced_traveller_information_system dbr:Autoregressive_model dbr:Autoregressive–moving-average_model dbr:Network_science dbr:Moving-average_model dbr:Statistical_relational_learning dbr:Time_delay_neural_network dbr:Neural_networks dbr:ARIMA dbr:Urban_traffic |
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| dct:subject | dbc:Traffic_simulation |
| 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) |
| rdfs:label | Urban traffic modeling and analysis (en) |
| owl:sameAs | wikidata:Urban traffic modeling and analysis https://global.dbpedia.org/id/DFFD |
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