Real-time multi-sensor multi-source network data fusion using dynamic traffic assignment models

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2009, Pages 533-538

  Huang, E ^a   Antoniou, C ^a   Wen, Y ^a   Ben Akiva, M ^a   Lopes, J ^b   Bento, J ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRISA   (Portugal)

Author keywords

Multi sensor fusion; Simulation and modeling; Traffic state analysis and prediction; Travel information and guidance

Indexed keywords

DYNAMIC TRAFFIC ASSIGNMENTS; EMPIRICAL VALIDATION; HOOKE-JEEVES; LOOP DETECTOR; MODEL ESTIMATES; MODEL-BASED; MULTI SENSOR; MULTI-SENSOR FUSION; MULTISOURCES; NETWORK CONDITION; NETWORK DATA; NETWORK STATE; PATTERN SEARCH; PORTUGAL; PREDICTIVE SYSTEMS; REAL-TIME INFORMATION; REAL-TIME NETWORKS; ROOT MEAN SQUARE ERRORS; SIMULATION-BASED; TRAFFIC STATE; TRAVEL INFORMATION; WEST COAST;

ARTS COMPUTING; INFORMATION FUSION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; REAL TIME SYSTEMS; SENSOR NETWORKS; SENSORS; SIMULATORS; TRAFFIC CONTROL; VEHICLE LOCATING SYSTEMS; VIDEO CAMERAS;

SENSOR DATA FUSION;

EID: 72449196756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2009.5309859     Document Type: Conference Paper

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