Abstract
There are different models of the routing problem. We are building a test environment, where the decision making methods of the different models can be evaluated in almost real traffic. The almost real traffic runs in a well known simulation platform. The route selections are injected into the simulation platform, and the simulation platform drives the vehicles. We demonstrate how the routing model evaluator can be run to evaluate a routing model against a dynamic equilibrium.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cominetti, R., Correa, J., Olver, N.: Long term behavior of dynamic equilibria in fluid queuing networks. In: Eisenbrand, F., Koenemann, J. (eds.) IPCO 2017. LNCS, vol. 10328, pp. 161–172. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59250-3_14
Lopez, P.A., et al.: Microscopic traffic simulation using SUMO. In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, November 2018. https://doi.org/10.1109/itsc.2018.8569938
Parkes, D.C.: Online mechanisms. In: Algorithmic Game Theory, pp. 411–439. Cambridge University Press (2007). https://doi.org/10.1017/CBO9780511800481
Peeta, S., Ziliaskopoulos, A.K.: Foundations of dynamic traffic assignment: the past, the present and the future. Netw. Spatial Econ. 1(3), 233–265 (2001). https://doi.org/10.1023/A:1012827724856
Pourabdollah, M., Bjarkvik, E., Furer, F., Lindenberg, B., Burgdorf, K.: Calibration and evaluation of car following models using real-world driving data. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, October 2017. https://doi.org/10.1109/itsc.2017.8317836
Roughgarden, T.: Routing games. In: Algorithmic Game Theory, pp. 461–486. Cambridge University Press (2007). https://doi.org/10.1017/CBO9780511800481
Varga, L.: On intention-propagation-based prediction in autonomously self-adapting navigation. Scalable Comput.: Pract. Exp. 16(3), 221–232 (2015). http://www.scpe.org/index.php/scpe/article/view/1098
Varga, L.Z.: Two prediction methods for intention-aware online routing games. In: Belardinelli, F., Argente, E. (eds.) EUMAS/AT 2017. LNCS (LNAI), vol. 10767, pp. 431–445. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01713-2_30
Wardrop, J.G.: Some theoretical aspects of road traffic research. Proc. Inst. Civil Eng. Part II 1(36), 352–378 (1952)
Acknowledgement
The work of V. Antal, T.G. Farkas, A. Kiss, and M. Miskolczi was supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.3-VEKOP-16-2017-00002). The work of L.Z. Varga was supported by project no. ED_18-1-2019-0030 (Application domain specific highly reliable IT solutions subprogramme), and implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the Thematic Excellence Programme funding scheme.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Antal, V., Farkas, T.G., Kiss, A., Miskolczi, M., Varga, L.Z. (2020). A Demonstration of the Routing Model Evaluator. In: Demazeau, Y., Holvoet, T., Corchado, J., Costantini, S. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection. PAAMS 2020. Lecture Notes in Computer Science(), vol 12092. Springer, Cham. https://doi.org/10.1007/978-3-030-49778-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-49778-1_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49777-4
Online ISBN: 978-3-030-49778-1
eBook Packages: Computer ScienceComputer Science (R0)