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Hybrid Dynamic Route Planners

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Leon RothkrantzAuthors Info & Claims

CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies

Pages 12 - 19

https://doi.org/10.1145/3274005.3274012

Published: 13 September 2018 Publication History

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Abstract

In most European countries, websites are available with route planners and real time information about incidents and expected delay on the highways. These websites enable car drivers to plan their route from start to destination. On their way, they can use route planners on their smart phone or other devices. Recent route planners take care of incidents on the roads. However, none of these planners takes care of the future. In this paper, we present a route planner integrating information from experts in the traffic centers and a route planner based on a dynamic version of the Dijkstra algorithm.

References

[1]

Dijkstra, E. W., 1959. A note on two problems in connexion with graphs. In Numerische Mathematik 1: 269--271.

Digital Library

Google Scholar

[2]

Haak, van den, W., L.Rothkrantz, P. Wiggers, B.M.R. Heijligers, T. Bakri, D. Vukovic, 2010.Transactions on Transport Sciences, vol 3, nr 2, pp 129--136.

Google Scholar

[3]

Hoogendoorn, S., B. De Schutter, H. Schuurman, 2003. Decision support in dynamic traffic management. Real-time scenario evaluation. European Journal of Transport and Infrastructure Research, vol. 3, no. 1, pp. 21--38.

Google Scholar

[4]

Jabbarpour, M., R. L.Rothkrantz, A. Jalooli, E. Shaghaghi, R. M. Noor, 2014. Ant-based vehicle congestion avoidance system using vehicular networks Engineering. In Applications of Artificial Intelligence 36, 303--319.

Digital Library

Google Scholar

[5]

Kerkman, K., T. Arentze, A. Borgers, A. Kemperman, 2012. 'Car drivers' compliance with route advice and willingness to choose socially desirable routes', Transp. Res. Rec., 2322, pp. 102--109.

Crossref

Google Scholar

[6]

Radu, A., L Rothkrantz, M. Novak, 2013. Digital traveller assistant. In Informatics in Control, Automation and Robotics, 101--114.

Google Scholar

[7]

Rothkrantz, 2009. L. Dynamic routing using the network of car drivers. Proceedings of the Euro American Conference on Telematics and Information Systems.

Digital Library

Google Scholar

[8]

Rothkrantz, L., J. Boehle, M. van Wezel, 2013. A rental system of electrical cars in Amsterdam. In Transportation Letters 5 (1), 38--48.

Crossref

Google Scholar

[9]

Tatomir, B., L.Rothkrantz, 2004. Dynamic traffic routing using ant based control Systems, Man and Cybernetics. IEEE International Conference 4, 3970--3975.

Google Scholar

[10]

Tatomir, B., L.J.M.Rothkrantz A. C. Suson, 2009. Travel time prediction for dynamic routing using ant based control, Proceedings of the Winter Simulation Conference. IEEE.

Digital Library

Google Scholar

[11]

Rothkrantz, L.J.M.2009. Dynamic routing using the network of car drivers. Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship. pp 11, ACM.

Digital Library

Google Scholar

[12]

Troost, E., J. Hernandez, W. Geurts, 2018. Organisational Impact of Quality Assurance on Traffic Control Systems. Available from: https://www.researchgate.net/publication /257484055 Organisational Impact of Quality Assurance on Traffic Control Systems {accessed Mar 10--2018}.

Google Scholar

[13]

Klein, G. 2013. Sources of Power: How People Make Decisions, Cambridge, MA: MIT Press.

Google Scholar

[14]

GeNie and Smile, a Bayesian network toolkit. Retrieved January 01, 2014, from http://genie.sis.pitt.edu/,

Google Scholar

Cited By

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Tsoukas VBoumpa EChioktour VKalafati MSpathoulas GKakarountas A(2023)Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic ServicesAnalytics10.3390/analytics20200182:2(328-345)Online publication date: 13-Apr-2023
https://doi.org/10.3390/analytics2020018
Rothkrantz L(2019)How to Transform Real Time Traffic Information into a Historical Database Used for Dynamic Routing2019 International Conference on Information Technologies (InfoTech)10.1109/InfoTech.2019.8860873(1-4)Online publication date: Sep-2019
https://doi.org/10.1109/InfoTech.2019.8860873

Index Terms

Hybrid Dynamic Route Planners
1. Computing methodologies
  1. Modeling and simulation

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CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies

September 2018

206 pages

ISBN:9781450364256

DOI:10.1145/3274005

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
UORB: University of Ruse, Bulgaria
TECHUVB: Technical University of Varna, Bulgaria

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Association for Computing Machinery

New York, NY, United States

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Published: 13 September 2018

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CompSysTech'18

CompSysTech'18: 19th International Conference on Computer Systems and Technologies

September 13 - 14, 2018

Ruse, Bulgaria

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Tsoukas VBoumpa EChioktour VKalafati MSpathoulas GKakarountas A(2023)Development of a Dynamically Adaptable Routing System for Data Analytics Insights in Logistic ServicesAnalytics10.3390/analytics20200182:2(328-345)Online publication date: 13-Apr-2023
https://doi.org/10.3390/analytics2020018
Rothkrantz L(2019)How to Transform Real Time Traffic Information into a Historical Database Used for Dynamic Routing2019 International Conference on Information Technologies (InfoTech)10.1109/InfoTech.2019.8860873(1-4)Online publication date: Sep-2019
https://doi.org/10.1109/InfoTech.2019.8860873

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Optimal route selection with route planners: results of a desktop usability study

Dynamic Route Planning System Integrated with Traffic Flow Sensing

Connected vehicles’ dynamic route planning based on reinforcement learning

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