TY - GEN
T1 - Sensitivity-based uncertainty analysis of transit assignment model
AU - Du, Muqing
AU - Chen, Anthony
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Transit assignment models are particularly useful to systematically access the operation or planning of a transit network. From this perspective, the transit assignment model has been developed and applied for a long time, and various of formulations come out to fulfill different application purposes. In order to analyze the uncertainties in transit network which may be caused by probabilistic travel demand, congestion effect, or transit frequencies, a variational inequality (VI) formulation is employed in this study. It models the passengers' route choice subject to congestion from waiting and in-vehicle time. The hyperpath concept is used to incorporate the passengers' strategy at transit stops. Then, the analytical sensitivity analysis expression is derived for the transit assignment model. Some typical applications of sensitivity analysis results will be discussed in numerical example. Especially, the uncertainties from the travel demand are considered as the random variables with mean and variance. Based on the analytical sensitivity analysis, the uncertainties in the result of transit assignment model will be estimated.
AB - Transit assignment models are particularly useful to systematically access the operation or planning of a transit network. From this perspective, the transit assignment model has been developed and applied for a long time, and various of formulations come out to fulfill different application purposes. In order to analyze the uncertainties in transit network which may be caused by probabilistic travel demand, congestion effect, or transit frequencies, a variational inequality (VI) formulation is employed in this study. It models the passengers' route choice subject to congestion from waiting and in-vehicle time. The hyperpath concept is used to incorporate the passengers' strategy at transit stops. Then, the analytical sensitivity analysis expression is derived for the transit assignment model. Some typical applications of sensitivity analysis results will be discussed in numerical example. Especially, the uncertainties from the travel demand are considered as the random variables with mean and variance. Based on the analytical sensitivity analysis, the uncertainties in the result of transit assignment model will be estimated.
KW - Sensitivity Analysis
KW - Transit Assignment Model
KW - Uncertainty
KW - Variational Inequality
UR - http://www.scopus.com/inward/record.url?scp=85064667044&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85064667044
T3 - Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
SP - 425
EP - 433
BT - Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
A2 - Gu, Weihua
A2 - Wang, Shuaian
PB - Hong Kong Society for Transportation Studies Limited
T2 - 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018
Y2 - 8 December 2018 through 10 December 2018
ER -