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This document serves as a technical report for the analysis of on-demand transport dataset. Moreover we show how the dataset can be used to develop a market formation algorithm based on machine learning. Data used in this work comes from Liftago, a P
Externí odkaz:
http://arxiv.org/abs/1608.02858
Activity-based models, as a specific instance of agent-based models, deal with agents that structure their activity in terms of (daily) activity schedules. An activity schedule consists of a sequence of activity instances, each with its assigned star
Externí odkaz:
http://arxiv.org/abs/1502.07601
Autor:
Egan, Malcolm, Jakob, Michal
On-demand transport services in the form of dial-a-ride and taxis are crucial parts of the transport infrastructure in all major cities. However, not all on-demand transport services are equal. In particular, not-for-profit dial-a-ride services with
Externí odkaz:
http://arxiv.org/abs/1501.01582
Publikováno v:
In Transportation Research Part C January 2019 98:370-390
Autor:
Egan, Malcolm, Jakob, Michal
Publikováno v:
In Transportation Research Part B July 2016 89:178-195
Discovery and Characterization of a Biologically Active Non–ATP-Competitive p38 MAP Kinase Inhibitor
Autor:
Wilson, Brice A.P., Alam, Muhammad S., Guszczynski, Tad, Jakob, Michal, Shenoy, Shilpa R., Mitchell, Carter A., Goncharova, Ekaterina I., Evans, Jason R., Wipf, Peter, Liu, Gang, Ashwell, Jonathan D., O’Keefe, Barry R. *
Publikováno v:
In SLAS Discovery March 2016 21(3):277-289
Publikováno v:
In Transportation Research Procedia 2016 14:1154-1163
Publikováno v:
In BBA - Proteins and Proteomics June 2014 1844(6):1153-1166
Publikováno v:
In Transportation Research Part C November 2013 36:157-176