Research output per year
Research output per year
Project Details
Project Description
Current state-of-the-art techniques for real-world journey planning take user requirements as input and generate a
few proposed journeys as output. However, the most useful decision-support systems are mixed-initiative: the IT
system and user work together to find the best decisions. In the context of journey planning, interaction with the
user is needed to (i) find the best combination of private, public and active transportation; (ii) for understanding
trade-offs between cost, starting time, journey time, convenience and reliability, and; (iii) for reacting to delays and
disruptions. This research will introduce a new generation of mixed-initiative, mixed-modality, dynamic decisionsupport
system for urban and regional travel.
few proposed journeys as output. However, the most useful decision-support systems are mixed-initiative: the IT
system and user work together to find the best decisions. In the context of journey planning, interaction with the
user is needed to (i) find the best combination of private, public and active transportation; (ii) for understanding
trade-offs between cost, starting time, journey time, convenience and reliability, and; (iii) for reacting to delays and
disruptions. This research will introduce a new generation of mixed-initiative, mixed-modality, dynamic decisionsupport
system for urban and regional travel.
| Status | Finished |
|---|---|
| Effective start/end date | 27/06/16 → 31/12/19 |
Funding
- Australian Research Council (ARC): A$283,536.00
- Australian Research Council (ARC): A$19,464.00
Research output
- 3 Conference Paper
-
Lazy CBS: implicit Conflict-based Search using Lazy Clause Generation
Gange, G., Harabor, D. & Stuckey, P. J., 2019, Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. Benton, J., Lipovetzky, N., Onaindia, E., Smith, D. E. & Srivastava, S. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 29. p. 155-162 8 p. (Proceedings International Conference on Automated Planning and Scheduling, ICAPS; vol. 29).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile47 Citations (Scopus) -
Peak-hour rail demand shifting with discrete optimisation
Betts, J. M., Dowe, D. L., Guimarans, D., Harabor, D., Kumarage, H., Stuckey, P. J. & Wybrow, M., 2019, Principles and Practice of Constraint Programming: 25th International Conference, CP 2019 Stamford, CT, USA, September 30 – October 4, 2019 Proceedings. Schiex, T. & de Givry, S. (eds.). Cham Switzerland: Springer, p. 748-763 16 p. (Lecture Notes in Computer Science; vol. 11802).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
Regarding jump point search and subgoal graphs
Harabor, D. D., Uras, T., Stuckey, P. J. & Koenig, S., 2019, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2019. Kraus, S. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 1241-1248 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile6 Citations (Scopus)