Micro-simulation of daily activity-travel patterns for travel demand forecasting

Citations

Cited by:

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18. Alex A. Kurzhanskiy, 2022. "A Methodology for Estimating Vehicle Route Choice from Sparse Flow Measurements in a Traffic Network," Mathematics, MDPI, vol. 10(3), pages 1-11, February.
19. Yamaguchi, Hiromichi & Nakayama, Shoichiro, 2020. "Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach," Transport Policy, Elsevier, vol. 97(C), pages 37-46.
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22. Waddell, Paul & Wang, Liming & Charlton, Billy & Olsen, Aksel, 2010. "Microsimulating parcel-level land use and activity-based travel: Development of a prototype application in San Francisco," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 65-84.
23. Usman Ahmed & Ana Tsui Moreno & Rolf Moeckel, 0. "Microscopic activity sequence generation: a multiple correspondence analysis to explain travel behavior based on socio-demographic person attributes," Transportation, Springer, vol. 0, pages 1-22.
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25. Kou, Zhaoyu & Cai, Hua, 2019. "Understanding bike sharing travel patterns: An analysis of trip data from eight cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 785-797.
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