Skip to main content
Top

2018 | OriginalPaper | Chapter

An Innovative Heuristic for Planning-Based Urban Traffic Control

Authors : Santiago Franco, Alan Lindsay, Mauro Vallati, Thomas Lee McCluskey

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. In this scenario, optimising the exploitation of urban road network is a pivotal challenge, particularly in the case of unexpected situations. In order to tackle this challenge, approaches based on mixed discrete-continuous planning have been recently proposed and although their feasibility has been demonstrated, there is a lack of informative heuristics for this class of applications. Therefore, existing approaches tend to provide low-quality solutions, leading to a limited impact of generated plans on the actual urban infrastructure.
In this work, we introduce the Time-Based heuristic: a highly informative heuristic for PDDL+ planning-based urban traffic control. The heuristic, which has an admissible and an inadmissible variant, has been evaluated considering scenarios that use real-world data.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Chong-White, C., Millar, G., Shaw, S.: SCATS and the environment study: definitive results. In: Proceedings of the 19th World Congress on Intelligent Transportation Systems (ITS) (2012) Chong-White, C., Millar, G., Shaw, S.: SCATS and the environment study: definitive results. In: Proceedings of the 19th World Congress on Intelligent Transportation Systems (ITS) (2012)
2.
go back to reference Della Penna, G., Magazzeni, D., Mercorio, F., Intrigila, B.: UPMurphi: a tool for universal planning on PDDL+ problems. In: Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS) (2009) Della Penna, G., Magazzeni, D., Mercorio, F., Intrigila, B.: UPMurphi: a tool for universal planning on PDDL+ problems. In: Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS) (2009)
3.
go back to reference Fox, M., Long, D.: Modelling mixed discrete-continuous domains for planning. J. Artif. Intell. Res. 27, 235–297 (2006)MATH Fox, M., Long, D.: Modelling mixed discrete-continuous domains for planning. J. Artif. Intell. Res. 27, 235–297 (2006)MATH
4.
go back to reference Gulić, M., Olivares, R., Borrajo, D.: Using automated planning for traffic signals control. PROMET-Traffic Transp. 28(4), 383–391 (2016) Gulić, M., Olivares, R., Borrajo, D.: Using automated planning for traffic signals control. PROMET-Traffic Transp. 28(4), 383–391 (2016)
5.
go back to reference Lin, S.: Efficient Model Predictive Control for Large-Scale Urban Traffic Networks. TU Delft, Delft University of Technology, Delft (2011) Lin, S.: Efficient Model Predictive Control for Large-Scale Urban Traffic Networks. TU Delft, Delft University of Technology, Delft (2011)
6.
go back to reference McCluskey, T.L., Vallati, M.: Embedding automated planning within urban traffic management operations. In: 27th International Conference on Automated Planning and Scheduling (ICAPS) (2017) McCluskey, T.L., Vallati, M.: Embedding automated planning within urban traffic management operations. In: 27th International Conference on Automated Planning and Scheduling (ICAPS) (2017)
7.
go back to reference Piotrowski, W.M., Fox, M., Long, D., Magazzeni, D., Mercorio, F.: Heuristic planning for PDDL+ domains. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI, pp. 3213–3219 (2016) Piotrowski, W.M., Fox, M., Long, D., Magazzeni, D., Mercorio, F.: Heuristic planning for PDDL+ domains. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI, pp. 3213–3219 (2016)
8.
go back to reference Taale, H., Fransen, W., Dibbits, J.: The second assessment of the SCOOT system in Nijmegen. In: IEEE Road Transport Information and Control, no. 21–23, April 1998 Taale, H., Fransen, W., Dibbits, J.: The second assessment of the SCOOT system in Nijmegen. In: IEEE Road Transport Information and Control, no. 21–23, April 1998
9.
go back to reference Vallati, M., Magazzeni, D., De Schutter, B., Chrpa, L., McCluskey, T.L.: Efficient macroscopic urban traffic models for reducing congestion: a PDDL+ planning approach. In: Thirtieth AAAI Conference on Artificial Intelligence (AAAI), pp. 3188–3194 (2016) Vallati, M., Magazzeni, D., De Schutter, B., Chrpa, L., McCluskey, T.L.: Efficient macroscopic urban traffic models for reducing congestion: a PDDL+ planning approach. In: Thirtieth AAAI Conference on Artificial Intelligence (AAAI), pp. 3188–3194 (2016)
Metadata
Title
An Innovative Heuristic for Planning-Based Urban Traffic Control
Authors
Santiago Franco
Alan Lindsay
Mauro Vallati
Thomas Lee McCluskey
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-93698-7_14

Premium Partner