An Innovative Heuristic for Planning-Based Urban Traffic Control. / Franco, Santiago; Lindsay, Alan; Vallati, Mauro; McCluskey, Thomas Lee.

Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I. ed. / Yong Shi; Haohuan Fu; Yingjie Tian; Valeria V. Krzhizhanovskaya; Michael Harold Lees; Jack J. Dongarra; Peter M. A. Sloot. Springer, 2018. p. 181-193 (Lecture Notes in Computer Science; Vol. 10860).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

An Innovative Heuristic for Planning-Based Urban Traffic Control. / Franco, Santiago; Lindsay, Alan; Vallati, Mauro; McCluskey, Thomas Lee.

Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I. ed. / Yong Shi; Haohuan Fu; Yingjie Tian; Valeria V. Krzhizhanovskaya; Michael Harold Lees; Jack J. Dongarra; Peter M. A. Sloot. Springer, 2018. p. 181-193 (Lecture Notes in Computer Science; Vol. 10860).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Franco, S, Lindsay, A, Vallati, M & McCluskey, TL 2018, An Innovative Heuristic for Planning-Based Urban Traffic Control. in Y Shi, H Fu, Y Tian, VV Krzhizhanovskaya, MH Lees, JJ Dongarra & PMA Sloot (eds), Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I. Lecture Notes in Computer Science, vol. 10860, Springer, pp. 181-193. https://doi.org/10.1007/978-3-319-93698-7_14

APA

Franco, S., Lindsay, A., Vallati, M., & McCluskey, T. L. (2018). An Innovative Heuristic for Planning-Based Urban Traffic Control. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I (pp. 181-193). (Lecture Notes in Computer Science; Vol. 10860). Springer. https://doi.org/10.1007/978-3-319-93698-7_14

Vancouver

Franco S, Lindsay A, Vallati M, McCluskey TL. An Innovative Heuristic for Planning-Based Urban Traffic Control. In Shi Y, Fu H, Tian Y, Krzhizhanovskaya VV, Lees MH, Dongarra JJ, Sloot PMA, editors, Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I. Springer. 2018. p. 181-193. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-93698-7_14

Author

Franco, Santiago ; Lindsay, Alan ; Vallati, Mauro ; McCluskey, Thomas Lee. / An Innovative Heuristic for Planning-Based Urban Traffic Control. Computational Science - ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I. editor / Yong Shi ; Haohuan Fu ; Yingjie Tian ; Valeria V. Krzhizhanovskaya ; Michael Harold Lees ; Jack J. Dongarra ; Peter M. A. Sloot. Springer, 2018. pp. 181-193 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{c9fd1677dbdd4dce8be782390eac4e04,
title = "An Innovative Heuristic for Planning-Based Urban Traffic Control",
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.",
author = "Santiago Franco and Alan Lindsay and Mauro Vallati and McCluskey, {Thomas Lee}",
year = "2018",
doi = "10.1007/978-3-319-93698-7_14",
language = "English",
isbn = "978-3-319-93697-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "181--193",
editor = "Yong Shi and Haohuan Fu and Yingjie Tian and Krzhizhanovskaya, {Valeria V.} and Lees, {Michael Harold} and Dongarra, {Jack J.} and Sloot, {Peter M. A.}",
booktitle = "Computational Science - ICCS 2018",

}

RIS

TY - GEN

T1 - An Innovative Heuristic for Planning-Based Urban Traffic Control

AU - Franco, Santiago

AU - Lindsay, Alan

AU - Vallati, Mauro

AU - McCluskey, Thomas Lee

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-93698-7_14

DO - 10.1007/978-3-319-93698-7_14

M3 - Conference contribution

SN - 978-3-319-93697-0

T3 - Lecture Notes in Computer Science

SP - 181

EP - 193

BT - Computational Science - ICCS 2018

A2 - Shi, Yong

A2 - Fu, Haohuan

A2 - Tian, Yingjie

A2 - Krzhizhanovskaya, Valeria V.

A2 - Lees, Michael Harold

A2 - Dongarra, Jack J.

A2 - Sloot, Peter M. A.

PB - Springer

ER -