Personalized Route Selection Methods in an Urban Computing Scenario
Resumo
As urban areas continue to expand, the infrastructural systems within these regions face multifaceted challenges that detrimentally affect inhabitants’ health and quality of life. The advent of smart urban mobility technologies has introduced a persistent surveillance mechanism over the movement patterns of individuals and the ambient environmental conditions, including but not limited to the prevalence of crime, traffic accidents, and levels of air pollution. These technologies significantly contribute to the enhancement of urban transportation systems. In parallel, Location-Based Social Networks (LBSNs) leverage geolocation data derived from users to analyze travel behaviors and recommend alternative transportation options. This research introduces two innovative strategies aimed at selecting routes characterized by lower levels of pollution: the first strategy employs a multimodal transportation integration approach, and the second endorses route selection based on a comprehensive set of personalized criteria. The multimodal transport strategy offers journey options that are both cost-efficient and minimize environmental pollution. Upon assessing all potential routes, the personalized, multi-criteria-based approach demonstrates superior efficacy in route selection compared to methods that rely on a singular criterion within identical scenarios.
Referências
Brito, M., Cerqueira, E., and Rosário, D. (2024a). Personalized route selection service in an urban computing scenario. In Anais Estendidos do XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. SBC.
Brito, M., Martins, B., Santos, C., Medeiros, I., Araujo, F., Seruffo, M., Oliveira, H., Cerqueira, E., and Rosário, D. (2023). Personalized experience-aware multi-criteria route selection for smart mobility. In Proceedings of the 41st Brazilian Symposium on Computer Networks and Distributed Systems. SBC.
Brito, M., Santos, C., Martins, B. S., Medeiros, I., Seruffo, M., Cerqueira, E., and Rosário, D. (2024b). Context-aware multi-modal route selection service for urban computing scenarios. Ad Hoc Networks, page 103525.
Brito, M., Santos, C., Oliveira, H., Cerqueira, E., and Rosário, D. (2022). Air pollution calculation for location based social networks multimodal routing service. In Proceedings of the 6th Urban Computing Workshop (CoUrb), pages 280–293. SBC.
Ferreira, A. P., Silva, T. H., and Loureiro, A. A. (2020). Uncovering spatiotemporal and semantic aspects of tourists mobility using social sensing. Computer Communications, 160:240–252.
Kaivonen, S. and Ngai, E. C.-H. (2020). Real-time air pollution monitoring with sensors on city bus. Digital Communications and Networks, 6(1):23–30.
Rodrigues, D., Santos, F., Rocha Filho, G., Akabane, A., Cabral, R., Immich, R., L. Junior, W., Cunha, F., Guidoni, D., Silva, T., Rosário, D., Cerqueira, E., Loureiro, A., and Villas, L. (2019). Computação urbana da teoria à prática: Fundamentos, aplicações e desafios. In Minicursos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 51–91. SBC.
Rodrigues, D. O., Boukerche, A., Silva, T. H., Loureiro, A. A., and Villas, L. A. (2018a). Combining taxi and social media data to explore urban mobility issues. Computer Communications, 132:111–125.
Rodrigues, D. O., Fernandes, J. T., Curado, M., and Villas, L. A. (2018b). Hybrid context-aware multimodal routing. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pages 2250–2255. IEEE.
Sarraf, R. and McGuire, M. P. (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154:113399.
Solé, L., Sammarco, M., Detyniecki, M., and Campista, M. E. M. (2022). Towards drivers’ safety with multi-criteria car navigation systems. Future Generation Computer Systems, 135:1–9.
Wu, M.-Y., Ke, C.-K., and Lai, S.-C. (2022). Optimizing the routing of urban logistics by context-based social network and multi-criteria decision analysis. Symmetry, 14(9):1811.
Zhang, D.-G., Wang, J.-X., Zhang, J., Zhang, T., Yang, C., and Jiang, K.-W. (2022). A new method of fuzzy multicriteria routing in vehicle ad hoc network. IEEE Transactions on Computational Social Systems, pages 1–13.
Zou, B., Li, S., Zheng, Z., Zhan, B. F., Yang, Z., and Wan, N. (2020). Healthier routes planning: A new method and online implementation for minimizing air pollution exposure risk. Computers, Environment and Urban Systems, 80:101456.
