Abstract
In many African cities, there is a constant increase in road network usage, while we notice an absence of proper means of traffic regulation. Decision-makers should make decisions about road network improvement to ease the management and availability of the road network. They must consider the smart city’s concept because of its features that will enable smart mobility. The most popular and tedious method to provide mobility data is the traditional traffic count, which is used in many cities. However, this method does not make it possible to assess mobility according to travel scenarios and requires significant financial and human resources compared to a computer simulations-based way.
We propose, a simulation tool based on multi-agent technology to facilitate the testing of mobility scenarios and to help in decision-making about traffic regulation. The tool we designed has been applied to the city of Cotonou to simulate mobility and to have a fully functional representation of the existing road network. This virtual representation can help to identify the key metrics decision-makers can leverage to improve the traffic and get an insight into the city road network. To test it, we simulated the traffic by considering a travel scenario: the home-work journey of the citizens of Cotonou. The results help in decisions making to improve mobility under this scenario. Even though our example is applied to the city of Cotonou, our model from its design is flexible enough to support the peculiarity of African cities.
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References
Wood, M., DeLoach, S.: An overview of the multiagent systems engineering methodology. In: International Workshop on Agent-Oriented Software Engineering, pp. 207–221 (2000)
Winikoff, M., Padgham, L.: The prometheus methodology. In: Methodologies and Software Engineering for Agent Systems, pp. 217–234 (2004)
Dam, K., Winikoff, M.: Comparing agent-oriented methodologies. In: International Bi-Conference Workshop on Agent-Oriented Information Systems, pp. 78–93 (2003)
Picard, G.: Méthodologie de développement de systèmes multi-agents adaptatifs et conception de logiciels à fonctionnalité émergente (2004)
Wooldridge, M., Jennings, N., Kinny, D.: The Gaia methodology for agent-oriented analysis and design. Auton. Agents Multi-agent Syst. 3, 285–312 (2000)
Blanes, D., Insfran, E., Abrahão, S.: RE4 Gaia: a requirements modeling approach for the development of multi-agent systems. In: International Conference on Advanced Software Engineering and its Applications, pp. 245–252 (2009)
Othman, A.: Simulation multi-agent de l’information des voyageurs dans les transports en commun (2016)
Bhat, C., Koppelman, F.: Activity-based modeling of travel demand. In: Handbook of Transportation Science, pp. 35–61 (1999)
Somik, V., Vernon, H., Anthony, V.: Opening Doors to the WorldAfrica’s Cities (2017)
Sabas, A., Badri, M., Delisle, S.: A multidimentional framework for the evaluation of multiagent system methodologies. In: Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI-2002), pp. 211–216 (2002)
Nguyen, Q.: Plate-forme de simulation pour l’aide à la décision: application à la régulation des systèmes de transport urbain (2015)
Taillandier, P., Drogoul, A.: From grid environment to geographic vector agents, modeling with the GAMA simulation platform. In: 25th International Cartographic Conference ICC 2011, pp. 16-p (2011)
Taillandier, P., Grignard, A., Gaudou, B., Drogoul, A.: Des données géographiques à la simulation à base d’agents: application de la plate-forme GAMA. Cybergeo: Eur. J. Geogr. (2014)
Smith, L., Beckman, R., Baggerly, K.: TRANSIMS: Transportation analysis and simulation system. Los Alamos National Lab, NM (United States) (1995)
Zargayouna, M., Zeddini, B., Scemama, G., Othman, A.: Agent-based simulator for travelers multimodal mobility. In: KES-AMSTA, pp. 81–90 (2013)
Briod, P.: Les Zemidjans de Cotonou, un obstacle à une mobilité urbaine plus durable? Cotonou face à la contrainte énergétique et environnementale. Séminaire De Politiques Urbaines Et Écologies, Institut Des Hautes Études Internationales Et Du Développement, Genève (2011)
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Megnigbeto, A., Sabas, A., Degila, J. (2023). Modelling and Multi-agent Simulation of Urban Road Network. In: Saeed, R.A., Bakari, A.D., Sheikh, Y.H. (eds) Towards new e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-031-34896-9_2
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DOI: https://doi.org/10.1007/978-3-031-34896-9_2
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