Enhance traffic flow prediction with Real-Time Vehicle Data Integration
Journal: Journal of Autonomous Intelligence DOI: 10.32629/jai.v6i2.574
Abstract
Keywords
traffic management systems; control technologies; traffic signal timing; financial gains; real-time
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13. Lana I, Del Ser J, Velez M, Vlahogianni EI. Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine 2018; 10(2): 93–109. doi: 10.1109/MITS.2018.2806634
14. Guo L, Yuan Y. Forecast method of short-term passenger flow on urban rail transit. In: Proceedings of 2017 VI International Conference on Network, Communication and Computing; 8–10 December 2017; Kunming, China.
15. Lanke N, Koul S. Smart traffic management system. International Journal of Computer Applications 2013; 75(7): 19–22. doi: 10.5120/13123-0473
2. Jain R, Dhingra S, Joshi K, Grover A. An improved traffic flow forecasting based control logic using parametrical doped learning and truncated dual flow optimization model. Wireless Networks 2022; 28(7): 3101–3110. doi: 10.1007/s11276-022-03020-x
3. Deekshetha HR, Shreyas Madhav AV, Tyagi AK. Traffic prediction using machine learning. In: Suma V, Fernando X, Du KL, et al. (editors). Evolutionary Computing and Mobile Sustainable Networks. Springer; 2022. pp. 969–983.
4. Montoya-Torres JR, Moreno S, Guerrero WJ, MejÃa G. Big data analytics and Intelligent Transportation Systems. IFAC-PapersOnLine 2021; 54(2): 216–220. doi: 10.1016/j.ifacol.2021.06.025
5. Chen Q, Song Y, Zhao J. Short-term traffic flow prediction based on improved wavelet neural network. Neural Computing and Applications 2021; 33: 8181–8190. doi: 10.1007/s00521-020-04932-5
6. Miyim AM, Muhammed MA. Smart traffic management system. In: Proceedings of 2019 15th International Conference on Electronics, Computer and Computation (ICECCO); 10–12 December 2019; Abuja, Nigeria. pp. 1–6.
7. Zhang W, Yu Y, Qi Y, et al. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning. Transportmetrica A: Transport Science 2019; 15(2): 1688–1711. doi: 10.1080/23249935.2019.1637966
8. Ata A, Khan MA, Abbas S, et al. Modelling smart road traffic congestion control system using machine learning techniques. Neural Network World 2019; 29(2): 99–110. doi: 10.14311/NNW.2019.29.008
9. Mandhare PA, Kharat V, Patil CY. Intelligent road traffic control system for traffic congestion: A perspective. International Journal of Computer Sciences and Engineering 2018; 6(7): 908–915. doi: 10.26438/ijcse/v6i7.908915
10. Rath M. Smart traffic management system for traffic control using automated mechanical and electronic devices. IOP Conference Series: Materials Science and Engineering 2018; 377(1): 012201. doi: 10.1088/1757-899X/377/1/012201
11. Hamidi H, Kamankesh A. An approach to intelligent traffic management system using a multi-agent system. International Journal of Intelligent Transportation Systems Research 2018; 16: 112–124. doi: 10.1007/s13177-017-0142-6
12. Zhang H, Wang X, Cao J, et al. A multivariate short-term traffic flow forecasting method based on wavelet analysis and seasonal time series. Applied Intelligence 2018; 48(10): 3827–3838. doi: 10.1007/s10489-018-1181-7
13. Lana I, Del Ser J, Velez M, Vlahogianni EI. Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine 2018; 10(2): 93–109. doi: 10.1109/MITS.2018.2806634
14. Guo L, Yuan Y. Forecast method of short-term passenger flow on urban rail transit. In: Proceedings of 2017 VI International Conference on Network, Communication and Computing; 8–10 December 2017; Kunming, China.
15. Lanke N, Koul S. Smart traffic management system. International Journal of Computer Applications 2013; 75(7): 19–22. doi: 10.5120/13123-0473
Copyright © 2023 Rishabh Jain, Sunita Dhingra, Kamaldeep Joshi, Arun Kumar Rana, Nitin Goyal
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