Real-time traffic state estimation on urban road network: The application of unscented Kalman filter

Applications of Advanced Technology in Transportation - Proceedings of the Ninth International Conference on Applications of Advanced Technology in Transportation

Volumn , Issue , 2006, Pages 542-547

  Pueboobpaphan, R ^a   Nakatsuji, T ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

INVERSE KINEMATICS; KALMAN FILTERS; MATHEMATICAL MODELS; REAL TIME SYSTEMS;

REAL-TIME TRAFFIC STATE; UNSCENTED KALMAN FILTER (UKF); URBAN ROAD;

HIGHWAY SYSTEMS;

EID: 35448960837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40799(213)86     Document Type: Conference Paper

References (5)

1. Daganzo, C.F. (1994) The Cell Transmission Model: A Dynamic Representation of Highway Traffic Consistent with the Hydrodynamic Theory. Transportation Research, Vol. 28B, No. 4, pp.269-287.
2. th International Symposium of Transportation and Traffic Theory, Lyon, pp.647-677
3. Nanthawichit, C., Nakatsuji, T., and Suzuki, H. (2003) Application of Probe Vehicle Data for Real-Time Traffic State Estimation and Short-Term Travel Time Prediction on a Freeway, Transportation Research Record 1855, pp. 49-59.
4. Wang, Y., and Papageorgiou, M. (2005) Real-Time Freeway Traffic State Estimation based on Extended Kalman Filter: A General Approach. Transportation Research, Vol. 39B, No. 2, pp. 141-167.
5. Wan, E.A., and Merwe, R. van der. (2001) The Unscented Kalman Filter. In Haykin, S. (ed.), Kalman Filtering and Neural Networks, John Wiley and Sons, Inc.