TY - GEN
T1 - Development of an adaptive origin-destination estimation methodology considering traffic operational characteristics
AU - Liu, Xiaobo
AU - Chu, Lianyu
AU - Chen, Mei
PY - 2011
Y1 - 2011
N2 - Origin-destination (OD) trip matrices can provide traffic patterns that are crucial for transportation planning and traffic operational analysis. This paper applies an operational based platform for conducting capacity constrained OD estimation. It is tested on a 13-mile freeway section of state highway in California with an exclusive HOV lane, truck restricted lane, and mixed SOV/HOV/truck lane. Based on seed matrices created by TransCAD ODME, the observed traffic datasets including automatic traffic recorder (ATR) on highways, turning counts at on- or off-ramps are fed into Paramics estimator for OD estimation. A hybrid approach is taken to iteratively train the OD matrices with multiple vehicle classes. Later, the estimated OD tables are checked in the simulation model to evaluate their accuracy. The close match between the simulated flow and the observed traffic attests to the superior performance of this proposed method for OD estimation.
AB - Origin-destination (OD) trip matrices can provide traffic patterns that are crucial for transportation planning and traffic operational analysis. This paper applies an operational based platform for conducting capacity constrained OD estimation. It is tested on a 13-mile freeway section of state highway in California with an exclusive HOV lane, truck restricted lane, and mixed SOV/HOV/truck lane. Based on seed matrices created by TransCAD ODME, the observed traffic datasets including automatic traffic recorder (ATR) on highways, turning counts at on- or off-ramps are fed into Paramics estimator for OD estimation. A hybrid approach is taken to iteratively train the OD matrices with multiple vehicle classes. Later, the estimated OD tables are checked in the simulation model to evaluate their accuracy. The close match between the simulated flow and the observed traffic attests to the superior performance of this proposed method for OD estimation.
KW - OD estimation
KW - Paramics estimator
KW - TransCAD ODME
KW - capacity constrained
KW - congestion
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U2 - 10.1061/41184(419)61
DO - 10.1061/41184(419)61
M3 - Conference contribution
AN - SCOPUS:80053185077
SN - 9780784411841
T3 - ICTE 2011 - Proceedings of the 3rd International Conference on Transportation Engineering
SP - 364
EP - 369
BT - ICTE 2011 - Proceedings of the 3rd International Conference on Transportation Engineering
T2 - 3rd International Conference on Transportation Engineering, ICTE 2011
Y2 - 23 July 2011 through 25 July 2011
ER -