Přírodou inspirované algoritmy pro poptávkovou dopravu
| Thesis title in Czech: | Přírodou inspirované algoritmy pro poptávkovou dopravu |
|---|---|
| Thesis title in English: | Nature inspired algorithms for demand-responsive transport |
| Academic year of topic announcement: | 2023/2024 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | RNDr. Jiří Fink, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 07.12.2023 |
| Date of assignment: | 07.12.2023 |
| Confirmed by Study dept. on: | 10.12.2023 |
| Opponents: | Mgr. Gabriela Kadlecová |
| Guidelines |
| In demand-responsive transport, vehicles pick-up and drop-off passengers in locations according to passengers' requests. The goal of the thesis is to implement and compare different AI algorithms for a selected model of demand-responsive transport. |
| References |
| Davison, Lisa, et al. "A survey of demand responsive transport in Great Britain." Transport Policy 31 (2014): 47-54.
Vansteenwegen, Pieter, et al. "A survey on demand-responsive public bus systems." Transportation Research Part C: Emerging Technologies 137 (2022): 103573. Mendes, Renan S., Elizabeth F. Wanner, and Flávio VC Martins. "Optimization of the vehicle routing problem with demand responsive transport using the NSGA-II algorithm." 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. A. Ye et al., "Modeling and Managing an On-Demand Meal Delivery System with Mixed Autonomy," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022, pp. 2007-2012. |