Abstract
Urban roads are a crucial infrastructure highly demanded by citizens and organizations interested in their deployment, performance, and safety. Urban traffic signal control is an important and challenging real-world problem that aims to monitor and improve traffic congestion. Therefore, the deployment of traffic signals for vehicles or pedestrians at an intersection is a complex activity, as it is necessary to establish rules to control the flow of vehicles and pedestrians. Also, traffic flow at intersections changes constantly, depending, for instance, on weather conditions and day of the week, as well as road works and accidents that further influence complexity and performance. Thus, this work first uses the SysML Block Definition diagram to model the elements (sensor, controller, and actuator) of the architecture of an urban traffic signal control system. Next, Petri Nets models are proposed for the internal design of each of these elements. Finally, these Petri Nets models are combined into a complete model by merging common places. As a result, this article describes model integration, i.e., SysML Block Definition diagram and Petri Nets for modeling the architectural elements of an urban traffic signal control system.
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
Similar content being viewed by others
References
Adacher, L., Tiriolo, M.: A distributed approach for traffic signal synchronization problem. In: 2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), pp. 191–196 (2016)
An, Y., Zhu, C., Chen, P., Li, Y.: Modeling and analysis of transit signal priority control systems based on colored petri nets. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2701–2706. IEEE (2017)
Asaithambi, G., Kuttan, M.O., Chandra, S.: Pedestrian road crossing behavior under mixed traffic conditions: a comparative study of an intersection before and after implementing control measures. Transp. Dev. Econ. 2(2), 1–12 (2016). https://doi.org/10.1007/s40890-016-0018-5
Biggs, G., Sakamoto, T., Kotoku, T.: A profile and tool for modelling safety information with design information in SysML. Softw. Syst. Model. 15(1), 147–178 (2016)
Castro, G.B., Hirakawa, A.R., Martini, J.S.: Adaptive traffic signal control based on bio-neural network. Procedia Comput. Sci. 109, 1182–1187 (2017)
Friedenthal, S., Moore, A., Steiner, R.: A Practical Guide to SysML: The Systems Modeling Language. Morgan Kaufmann Publishers Inc., Burlington (2014)
Huang, Y.S., Shiue, J.Y., Luo, J.: A traffic signal control policy for emergency vehicles preemption using timed petri nets. IFAC-PapersOnLine 48(3), 2183–2188 (2015)
Le, T., Kovács, P., Walton, N., Vu, H.L., Andrew, L.L., Hoogendoorn, S.S.: Decentralized signal control for urban road networks. Transp. Res. Part C Emerging Technol. 58, 431–450 (2015)
Ma, C., He, R.: Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm. Neural Comput. Appl. 31(7), 2073–2083 (2019)
Murata, T.: Petri Nets: properties, analysis and applications. Proc. IEEE 77(4), 541–580 (1989)
Ning, Z., Zhang, F., Remias, S.: Understanding the security of traffic signal infrastructure. In: Perdisci, R., Maurice, C., Giacinto, G., Almgren, M. (eds.) DIMVA 2019. LNCS, vol. 11543, pp. 154–174. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22038-9_8
OMG: Systems Modeling Language (OMG SysML) Version 1.6 (2019)
Oviedo-Trespalacios, O., Haque, M.M., King, M., Washington, S.: Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers. Accid. Anal. Prev. 101, 67–77 (2017)
Peterson, J.L.: Petri Nets. ACM Comput. Surv. 9(3), 223–252 (1977)
Petri, C.A.: Kommunikation mit Automaten. Ph.D. thesis, Universität Hamburg (1962)
Reisig, W.: Petri Nets: An Introduction. Springer, New York (1985). https://doi.org/10.1007/978-3-642-69968-9
Silvestre, E.A., Soares, M.S.: Modeling road traffic signals control using UML and the MARTE profile. In: Murgante, B., et al. (eds.) ICCSA 2012. LNCS, vol. 7336, pp. 1–15. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31128-4_1
Soares, M.S., Vrancken, J.L.M.: Road traffic signals modeling and analysis with petri nets and linear logic. In: Proceedings of the IEEE International Conference on Networking, Sensing and Control, ICNSC 2007, London, UK, 15–17 April 2007, pp. 169–174. IEEE (2007)
Soares, M.S., Vrancken, J.L.M.: Responsive traffic signals designed with petri nets. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Singapore, 12–15 October 2008, pp. 1942–1947. IEEE (2008)
Souza, L.S., Misra, S., Soares, M.S.: SmartCitySysML: a SysML profile for smart cities applications. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12254, pp. 383–397. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58817-5_29
Vilarinho, C., Tavares, J.P., Rossetti, R.J.F.: Design of a multiagent system for real-time traffic control. IEEE Intell. Syst. 31(4), 68–80 (2016)
Vrancken, J.L.M., van Schuppen, J.H., Soares, M.S., Ottenhof, F.: A hierarchical model and implementation architecture for road traffic control. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, San Antonio, TX, USA, 11–14 October 2009, pp. 3540–3544. IEEE (2009)
Wei, H., Zheng, G., Gayah, V., Li, Z.: A survey on traffic signal control methods. ar** study. Softw. Syst. Model. 19(1), 111–169 (2020)
Yau, K.L.A., Qadir, J., Khoo, H.L., Ling, M.H., Komisarczuk, P.: A survey on reinforcement learning models and algorithms for traffic signal control. ACM Comput. Surv. 50(3), 1–38 (2017)
Yuan, Y.: Application of intelligent technology in urban traffic congestion. In: 2020 International Conference on Computer Engineering and Application - ICCEA 2020, pp. 721–725 (2020)
Zhao, J., Duan, Z.: Verification of use case with petri nets in requirement analysis. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2009. LNCS, vol. 5593, pp. 29–42. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02457-3_3
Acknowledgments
This study was financed by Fundação de Apoio à Pesquisa e à Inovação Tecnológica do estado de Sergipe (FAPITEC/SE) and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Souza, L.S., Soares, M.S. (2021). Combining SysML with Petri Nets for the Design of an Urban Traffic Signal Control. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-87013-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87012-6
Online ISBN: 978-3-030-87013-3
eBook Packages: Computer ScienceComputer Science (R0)