Abstract
An agent-based modeling software is here presented which simulates the measurement of the quality of the service offered by a collective public transport system, through the evaluation of the variables of comfort and speed. The simulator takes into account the trajectory of a route from the bus terminal to its last stop, pausing at each of the stops in the bus itinerary. The software allows for the configuration of the location of each stop, the speed per segment, the distribution of the generation and attraction of tickets per stop, among others. The output information shows the number of passengers waiting, those who leave, journey time, distance covered, and passengers served. In the trajectory tested, an average of 3.9 was obtained with regard to comfort and a 3.1 with regard to speed, using a scale of 1–5.
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References
Davidsson, P., Klügl, F., Verhagen, H.: Simulation of complex systems. In: Magnani, L., Bertolotti, T. (eds.) Springer Handbook of Model-Based Science. Springer Handbooks, pp. 783–797. Springer, Cham (2017)
Adelt, F., Weyer, J., Hoffmann, S., Ihrig, A.: Simulation of the governance of complex systems (SimCo): basic concepts and experiments on urban transportation. J. Artif. Soc. Soc. Simul. 21(2), 1–2 (2018)
Kelley, B.N., Williams, R.A., Holland, J.L., Schnarr, O.C., Allen B.D.: A persistent simulation environment for autonomous systems. In: Aviation Technology, Integration, and Operations Conference. Atlanta, Georgia (2018)
Carole, A., Patrick, T., Julie, D., Benoit, G.: BDI vs FSM agents in social simulations for raising awareness in disasters: a case study in Melbourne bushfires. Int. J. Inf. Syst. Crisis Response Manag. 9(1), 27–44 (2017)
Bourgais, M., Taillandier, P., Vercouter, L.: Enhancing the behavior of agents in social simulations with emotions and social relations. In: Dimuro, G., Antunes, L. (eds,) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science, vol. 10798 (2018)
Mozhgan, K.C., Paul, R.: Simulating heterogeneous behaviors in complex systems on GPUs. Simul. Model. Pract. Theory 83, 3–17 (2018)
Hulme, A., Thompson, J., Nielsen, R.O., Read, G.J.M., Salmon, P.M.: Towards a complex systems approach in sports injury research: simulating running-related injury development with agent-based modelling. Br. J. Sports Med. 1–11 (2018)
Wu, N., Wenbo, L., Hailei, W., Chengxin, X., Dan, G.: Capacity-constrained contraflow adaption for lane reconfiguration in evacuation planning. J. Adv. Transp. 14pp. (2018)
Eric, N.B., Charles, A.A., Kwame, K.O.: Volume warrants for major and minor roads left turning traffic lanes at unsignalized T-intersections: a case study using VISSIM modelling. J. Traffic Transp. Eng. 5(5), 417–428 (2018)
Novikov, A., Zyryanov, V., Feofilova, A.: Dynamic traffic re-routing as a method of reducing the congestion level of road network elements. J. Appl. Eng. Sci. 16(1), 70–74 (2018)
Nigel, G., Troitzsch, K.G.: Simulation for the Social Scientist, 1\(^{a}\) edn, pp. 67–69. Open University Press, New York (2005)
Valentino, C., Aram, G., Kristina, L.: Top-down vs bottom-up methodologies in multi-agent system design. Auton. Robot. 24(3), 303–313 (2008)
Rumbaugh, J., Jacobson, I., Booch, G.: The Unified Modeling Language Reference Manual, 1st edn. Addison-Wesley Professional, Massachusetts (1999)
Fikar, C., Hirsch, P., Nolz, P.C.: Cent. Eur. J. Oper. Res. 26(2), 423–442 (2018)
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Callejas-Cuervo, M., Valero-Bustos, H.A., Alarcón-Aldana, A.C., Mikušova, M. (2020). Measurement of Service Quality of a Public Transport System, Through Agent-based Simulation Software. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_27
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