268
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm

ORCID Icon & ORCID Icon
Article: 2344144 | Received 02 Sep 2023, Accepted 05 Apr 2024, Published online: 12 Jun 2024

References

  • Antonio, P., G. Claudio, M. Eloísa, F. Paulo. 2023. Road traffic noise monitoring in a Smart City: Sensor and Model-Based approach. Transportation Research Part D: Transport and Environment 125. doi:10.1016/j.trd.2023.103979.
  • Asma, A. O., B. Ayoub, B. Assia, and T. Mohamed. 2022. Overview of Road Traffic Management Solutions based on IoT and AI. Procedia Computer Science 198:518–32. doi:10.1016/j.procs.2021.12.279.
  • Bhavana, P., P. Likhitha, C. Manoj, and L. S. Kumar. 2023. IoT based Dynamic Road Traffic Management System. Journal of Physics: Conference Series 2466 (1). doi: 10.1088/1742-6596/2466/1/012025.
  • Chen, J., Z. Y. Mei, and W. Wang. 2007. Road resistance model under mixed traffic flow conditions with curb parking. China Civil Engineering Journal 40 (9):95–100.
  • Chen, K., and Y. U. Lei. 2007. Microscopic traffic-emission simulation and case study for evaluation of traffic control strategies. Journal of Transportation Systems Engineering & Information Technology 7 (1):93–99. doi:10.1016/S1570-6672(07)60011-7.
  • Coensel, B. D., A. Can, B. Degraeuwe, I. D. Vlieger, and D. Botteldooren. 2011. Effects of traffic signal coordination on noise and air pollutant emissions. Environmental Modelling & Software 35 (4):74–83. doi:10.1016/J.ENVSOFT.2012.02.009.
  • Darwish, R. R. 2022. A congestion-aware decision-driven architecture for information-centric Internet-of-Things applications. International Journal of Computers and Applications 44 (4):324–37. doi:10.1080/1206212X.2020.1738088.
  • Dipti, M., and S. Abhijit. 2022. IoT-based air pollution detection, monitoring and controlling system. Journal of Discrete Mathematical Sciences and Cryptography 25 (7):2173–82. doi:10.1080/09720529.2022.2133254.
  • Gao, Z. Y., and Y. F. Song. 2002. A reserve capacity model of optimal signal control with user-equilibrium route choice. Transportation Research Part B 36 (4):313–23. doi:10.1016/S0191-2615(01)00005-4.
  • Gao, Z. Y., Y. F. Song, and B. F. Si 2000. Urban traffic continuously balanced network design: Theory and method. China Railway Press, Beijing, China.
  • Gong, J. 2011. Effect analysis and optimizing control of bus operation. Ph.D. dissertation, Wuhan University of Technology, Wuhan, China.
  • Guerrero, I. J., S. Zeadally, and C. J. Contreras. 2015. Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wireless Communications 22 (6):122–28. doi:10.1109/MWC.2015.7368833.
  • Hepsiba, D., L. M. Varalakshmi, M. S. Kumar. 2021. Automatic pollution sensing and control for vehicles using IoT technology. Materials Today 45(2).
  • Huang, K. 2011. Optimization model and algorithm of urban traffic network considering environmental pollution control. Ph.D. dissertation, Southwest Jiaotong University, Chengdu, China.
  • Huang, K., H. L. Zhang, Y. W. Wang, and C. B. Yu 2017. An improved adaptive propagation chaotic particle swarm optimization algorithm based on immune selection. Proceedings of the 2017 International Conference on Machine Learning and Cybernetics (ICMLC 2017), Ningbo, China, 105–10.
  • Huang, K., H. L. Zhang, and G. L. Yang. 2019. An optimized IS-APCPSO algorithm for large scale complex traffic network. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 22 (2):3271–84. doi:10.1007/s10586-018-2082-6.
  • Kwak, J., B. Park, and J. Lee. 2011. Evaluating the impacts of urban corridor traffic signal optimization on vehicle emissions and fuel consumption. Transportation Planning and Technology 35 (2):145–60. doi:10.1080/03081060.2011.651877.
  • Liu, C., and L. Ke. 2023. Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city. Journal of Control and Decision 10 (2):174–87. doi:10.1080/23307706.2021.2024460.
  • Liu, S. D., Y. Qi, C. G. Tan, and H. R. Liu. 2017. Plug-in hybrid electric vehicle (PHEV) energy management strategy based on improved chaotic particle swarm optimization (ICPSO). Automobile Applied Technology 17:78–80.
  • Nagurney, A., and J. Dong. 2002. A multiclass multicriteria traffic network equilibrium model with elastic demand. Transportation Research B 36 (5):445–69. doi:10.1016/S0191-2615(01)00013-3.
  • Noland, P. B. 2001. Relationships between highway capacity and induced vehicle travel. Transportation Research Part A 35 (1):47–72. doi:10.1016/S0965-8564(99)00047-6.
  • Palconit, M. G., and W. A. Nuez 2017. CO2 emission monitoring and evaluation of public utility vehicles based on road grade and driving patterns: An Internet of Things application. 9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (IEEE HNICEM), Pasay, Philippines. doi:10.1109/HNICEM.2017.8269496.
  • Pampa, S., and G. Firoj 2018. An IoT based Intelligent Traffic Congestion Control System for Road Crossings. International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India. doi: 10.1109/IC3IoT.2018.8668131.
  • Pankaj, P. T., D. G. Rahul, and K. G. Pradeep. 2023. An IoT-based framework of vehicle accident detection for smart city. IETE Journal of Research 8):1-14. doi:10.1080/03772063.2023.2239757.
  • Park, B., I. Yun, and K. Ahn. 2009. Stochastic optimization for sustainable traffic signal control. International Journal of Sustainable Transportation 3 (4):263–84. doi:10.1080/15568310802091053.
  • Peng, H. Q., W. Xie, and X. You. 1997. Research on conversion methods of highway transportation volume and traffic volume. Inner Mongolia Highway and Transport 3 (2):36–38.
  • Rakha, H., and K. Ann. 2004. Integration modeling framework for estimating mobile source emissions. Journal of Transportation Engineering 130 (2):183–93. doi:10.1061/(ASCE)0733-947X.
  • Ren, G. 2007. Traffic assignment model and algorithm under traffic management measures. Nanjing, China: Southeast University Press.
  • Sarkar, S., S. Chatterjee, and S. Misra. 2018. Assessment of the suitability of fog computing in the context of internet of things. IEEE Transactions on Cloud Computing 6 (1):46–59. doi:10.1109/TCC.2015.2485206.
  • Sha, X. F. 2007. Research on vehicle dynamic emission model on urban road. Ph.D. dissertation, Jilin University, Jilin, China.
  • Shen, Y., T. R. Wu, J. Yan. 2021. Investigation on air pollutants and carbon dioxide emissions from motor vehicles in Beijing based on COPERT models. Journal of Environmental Engineering Technology 11 (6):1075–82.
  • Shi, Y. H., and R. C. Eberhart 1998. Parameter selection in particle swarm optimization. Proceeding of 1998 Annual Conference on Evolutionary Programming. San Diego: Springer-Berlin, USA:591-600. doi:10.1007/BFb0040810.
  • Stevanovic, A., P. Martin, and J. Stevanovic. 2007. VISSIM-based genetic algorithm optimization of signal timings. Transportation Research Record: Journal of the Transportation Research Board 2035 (1):59–68. doi:10.3141/2035-07.
  • Su, M. W. 2015. Theoretical analysis and countermeasures research on the development of internet of things industry. Ph.D. dissertation, JiLin, University, Changchun, China.
  • Sun, D. Z. 2010. Urban traffic road environmental air quality testing and evaluation. Beijing, China: China Environmental Science Press.
  • Sun, Q. B., J. Liu, S. Li, C. X. Fan, and J. J. Sun. 2010. Internet of things: Summarize on concepts, architecture and key technology problem. Journal of Beijing University of Posts and Telecommunications 33 (3):1–9.
  • Sun, W., A. Vij, N. Kaliszewski, and J. J. M Rose., 2023. A flexible and scalable single-level framework for OD matrix inference using IoT data. Transportation Research Part A: Policy and Practice 175:1–12. doi:10.1016/j.tra.2023.103775.
  • Tu, D. F., E. L. Wang, F. Zhang, and H. F. Xu. 2017. Research on vehicle exhaust dynamic monitoring system based on Internet of Things. Journal of Chifeng University(Natural Science Edition) 33 (24):30–31.
  • Vimal, K. D., R. Bhuvaneshwari, M. Pooja. 2022. IOT based vehicle emission monitoring system and pollution detection. International Journal of Advanced Research in Science, Communication and Technology 343–49. doi:10.48175/IJARSCT-3271.
  • Vong, C. M., P. K. Wong, Z. Q. Ma, and K. I. Wong. 2014. Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on internet of things. Internet of Things, IEEE 26 (1):347–52.
  • Wang, X. H., and H. Du. 2016. Cold chain logistics decision-making of fresh agricultural products based on the internet of things adoption: From the perspective of cost-benefit. Systems Engineering 34 (6):89–97.
  • Wang, X. W., T. Z. Li, L. Wang, B. Li, and W. He. 2010. Environmental traffic impedance model of street canyon based on health impacts. Journal of Southeast University (Natural Science Edition) 40 (1):196–200. doi:10.3969/j.1001-0505.2010.01.037.
  • Wei, L. 2011. A simulation and optimization study of urban road traffic emissions. Ph.D. dissertation, Wuhan University of Technology, Wuhan, China.
  • Wu, L., P. J. Shao, and X. Yao. 2011. A comparative analysis based on PLM return model with internet of things to collect information. Systems Engineering 29 (6):86–93.
  • Xiu, W. J., L. L. Zhang, K. L. Li, and M. Y. Wang. 2016. Intersection signal timing optimization control based on vehicle emission. Transport Research 2 (2):6–11.
  • Xu, W., M. C. Fan, and H. L. Xu. 2016. Road pricing for a multi-modal transportation network with emission considerations. Systems Engineering—Theory & Practice 36 (9):2345–54. doi:10.12011/1000-6788.
  • Xu, Y. F., L. Yu, and G. H. Song. 2016. GA-based approach to modeling operating mode distributions and estimating emissions. China Environmental Science 36 (12):3548–59.
  • Yang, M., and B. Su. 2013. A model of continuous transportation network design based on cyclic economy and sensitivity analysis. Journal of Highway and Transportation Research and Development 30 (4):94–100.
  • Yang, Y. N. 2014. Research on the design methodology of traffic management measures to reduce vehicular emissions. Ph.D. dissertation, Tsinghua University, Beijing, China.
  • Yang, Z. S., C. Y. Lin, and B. Gong. 2009. Traffic signal cycle optimization. Traffic Information and Security 27 (3):35–38. doi:10.3963/j.cn.42-1781.U.2009.03.010.
  • Ye, X. 2013. On the urban traffic guidance by the internet of things technology. In Master, dissertation. Chengdu, China: Southwest Jiaotong University.
  • Yin, H. L. 2002. Urban traffic management planning theory system and key issues. Ph.D. dissertation, Southeast University, Nanjing, China.
  • Yu, L., T. Wan, and X. M. Chen. 2008. Simulation study on traffic signal timing optimization integrating environmental factor and delay. Journal of System Simulation 20 (11):3016–31. doi:10.3724/SP.J.1077.2008.00933.
  • Zhang, H., Z. Y. Gao, and B. Zhang. 2006. Model and algorithm of transportation network design for emission reduction. China Civil Engineering Journal 39 (11):114–19. doi:10.1016/S1872-2040(06)60039-X.
  • Zhang, K., Y. J. Zhang, Y. He. 2016. Quantitative analysis of NO and NO2 from vehicle exhaust emission based on fast ICA and ANN. Journal of Atmospheric and Environmental Optics 11 (6):435–411.
  • Zhang, X., H. D. Zhao, and D. J. Zhao. 2015. Automatic approach to develop driving cycles for estimation of vehicle emissions. Journal of Chongqing University 38 (3):28–38.
  • Zhao, T., T. D. Guo, and Z. Y. Gao. 2005. A Optimal Model And Solution Algorithm For Maximal OD Travel Demand In Urban Transport Discrete Network Design Problem Under Environment Objective. China Civil Engineering Journal 38 (3):119–24.
  • Zhou, S. P. 2009. Research on traffic signal control strategies in urban intersections based on emission factors. Ph.D. dissertation, Wuhan University of Technology, Wuhan, China. doi:10.7666/d.y1559709.
  • Zou, Z. Y. 2009. Analysis of urban road network operation reliability and optimization. Ph.D. dissertation, Beijing Jiaotong University, Beijing, China. doi:10.7666/d.y1578666.