原文传递 DYNAMIC ESTIMATION AND PREDICTION OF FREEWAY O-D MATRICES WITH ROUTE SWITCHING CONSIDERATIONS AND TIME-DEPENDENT MODEL PARAMETERS.
题名: DYNAMIC ESTIMATION AND PREDICTION OF FREEWAY O-D MATRICES WITH ROUTE SWITCHING CONSIDERATIONS AND TIME-DEPENDENT MODEL PARAMETERS.
作者: Madanat-SM; Hu-S-R; Krogmeier-JV
关键词: ESTIMATION-; PREDICTIONS-; FREEWAYS-; ORIGIN-AND-DESTINATION; MATRICES-MATHEMATICS; ROUTE-SWITCHING; TIME-DEPENDENT-PARAMETERS; KALMAN-FILTERING; ALGORITHMS-; TRAFFIC-CONGESTION; TRAFFIC-DIVERSION
摘要: An enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway origin-and-destination (O-D) matrices is presented. The effects of traffic congestion and traffic diversion information on the O-D distribution pattern are explicitly captured through a behavioral model of route switching. Moreover, in view of the time-varying nature of traffic variables, the proposed algorithm updates the model parameters by using on-line traffic measurements. Preliminary simulation results demonstrate the importance of using time-dependent model parameters and accounting for the effect of traffic information in the estimation and prediction of dynamic freeway O-D demands.
总页数: Transportation Research Record. 1996. (1537) pp98-105 (1 Fig., 3 Tab., 21 Ref.)
报告类型: 科技报告
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