![]() ![]() Boston, MA, United States: Kluwer Academic Publishers. 59-88) edited by David Gillen and David Levinson. doi: 10.4018/978-1-4666-4920-0.ch005īus Automatic Vehicle Location (AVL) systemsīus Automatic Vehicle Location (AVL) systems. Hershey, Pennsylvania, United States: IGI Global. 86-102) edited by Davy Janssens, Ansar-Ul-Haque Yasar and Luk Knapen. Data Science and Simulation in Transportation Research. The application of an integrated behavioral activity-travel simulation model for pricing policy analysis. Konduri, Karthik C., Pendyala, Ram M., You, Daehyun, Chiu, Yi-Chang, Hickman, Mark, Noh, Hyunsoo, Waddell, Paul, Wang, Liming and Gardner, Brian (2014). The application of an integrated behavioral activity-travel simulation model for pricing policy analysis Boca Raton, FL, United States: CRC Press. 15-35) edited by Fumitaka Kurauchi and Jan-Dirk Schmöcker. Public transport planning with Smart card data. London, United Kingdom and Hoboken, NJ, USA : ISTE and Wiley. ![]() 269-281) edited by Eiichi Taniguchi and Russell G. City logistics 3: towards sustainable and liveable cities. and Hickman, Mark (2018).Ĭhoice of using distribution centers in the container import chain: a hybrid model correcting for missing information. Canberra, ACT Australia: Australasian Transport Research Forum.Ĭhoice of using distribution centers in the container import chain: a hybrid model correcting for missing information Rahbar, Maisie, Lim, Kai Li, Whitehead, Jake and Hickman, Mark (2022).ĭata in mobility as a service: a real-world trial in Queensland, Australia.Īustralasian Transport Research Forum 2022 Proceedings, Adelaide, SA Australia, 28-30 September 2022. Transport Academic Partnership (TAP) Project: Opportunities to decarbonise Queensland’s road freight task Brisbane, QLD Australia: The University of Queensland.Ĭonference Publication: Data in mobility as a service: a real-world trial in Queensland, Australia Opportunities to Decarbonise Queensland’s Road Freight Task: developing a strategic roadmap to a smooth transition to low and zero emission technologies. Other Outputs: Opportunities to Decarbonise Queensland’s Road Freight Task: developing a strategic roadmap to a smooth transition to low and zero emission technologiesĪdhikari Smith, Dia and Hickman, Mark (2023). Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2023. MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks. Tran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). Conference Publication: MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks ![]()
0 Comments
Leave a Reply. |