Tehnički vjesnik, Vol. 25 No. 5, 2018.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20180527042248
An Activity-Based Model for the Estimation of Origin-Destination Matrix on Road Networks
Lian Qun Ouyang
; School of Traffic and Transportation, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, P. R. China
Di Huang
; Beijing Key Laboratory of Logistics Management and Technology, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, P. R. China
Sažetak
Travel demand forecasting in terms of origin-destination (O-D) matrix estimation on transportation networks is an important topic in transportation research. The motivation of each trip is the user’s desire of conducting a compulsory or noncompulsory activity. User activity choices should not be ignored for the trip demand forecasting; nevertheless, there are scare approaches of O-D matrix estimation incorporating users’ activity behavior in the literature. This study develops an activity-based bi-level model for the estimation of O-D matrix on road networks using the activity-based approach where road users’ activity and travel choices are integrated scheduled. In the estimation, the parameter of the user activity and travel choice model is simultaneously calibrated. A heuristic algorithm is explored to solve the model. A numerical example is provided. The example results illustrate that the developed model and heuristic algorithm are applicable and efficient tools to deal with the problem of O-D matrix estimation.
Ključne riječi
the activity-based approach; network model; origin-destination matrix
Hrčak ID:
207448
URI
Datum izdavanja:
28.10.2018.
Posjeta: 1.180 *