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Research on Traffic Parameter Measurement Methods for Intelligent Transportation Systems

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24 mar 2025

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Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2018). Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383-398. ZhuL.YuF. R.WangY.NingB. & TangT. (2018). Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383-398.Search in Google Scholar

Ganin, A. A., Mersky, A. C., Jin, A. S., Kitsak, M., Keisler, J. M., & Linkov, I. (2019). Resilience in intelligent transportation systems (ITS). Transportation Research Part C: Emerging Technologies, 100, 318-329. GaninA. A.MerskyA. C.JinA. S.KitsakM.KeislerJ. M. & LinkovI. (2019). Resilience in intelligent transportation systems (ITS). Transportation Research Part C: Emerging Technologies, 100, 318-329.Search in Google Scholar

Guerrero-Ibáñez, J., Zeadally, S., & Contreras-Castillo, J. (2018). Sensor technologies for intelligent transportation systems. Sensors, 18(4), 1212. Guerrero-IbáñezJ.ZeadallyS. & Contreras-CastilloJ. (2018). Sensor technologies for intelligent transportation systems. Sensors, 18(4), 1212.Search in Google Scholar

Lv, Z., Zhang, S., & Xiu, W. (2020). Solving the security problem of intelligent transportation system with deep learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4281-4290. LvZ.ZhangS. & XiuW. (2020). Solving the security problem of intelligent transportation system with deep learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4281-4290.Search in Google Scholar

Njoku, J. N., Nwakanma, C. I., Amaizu, G. C., & Kim, D. S. (2023). Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1-21. NjokuJ. N.NwakanmaC. I.AmaizuG. C. & KimD. S. (2023). Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1-21.Search in Google Scholar

Karmanov, D., Zakharov, D., & Fadyushin, A. (2018). Evaluation of changes in traffic parameters for various types of traffic signal regulation. Transportation research procedia, 36, 274-280. KarmanovD.ZakharovD. & FadyushinA. (2018). Evaluation of changes in traffic parameters for various types of traffic signal regulation. Transportation research procedia, 36, 274-280.Search in Google Scholar

Bezuglov, A., & Comert, G. (2016). Short-term freeway traffic parameter prediction: Application of grey system theory models. Expert Systems with Applications, 62, 284-292. BezuglovA. & ComertG. (2016). Short-term freeway traffic parameter prediction: Application of grey system theory models. Expert Systems with Applications, 62, 284-292.Search in Google Scholar

Marusin, A., Marusin, A., & Danilov, I. (2018). A method for assessing the influence of automated traffic enforcement system parameters on traffic safety. Transportation Research Procedia, 36, 500-506. MarusinA.MarusinA. & DanilovI. (2018). A method for assessing the influence of automated traffic enforcement system parameters on traffic safety. Transportation Research Procedia, 36, 500-506.Search in Google Scholar

Comert, G., Bezuglov, A., & Cetin, M. (2016). Adaptive traffic parameter prediction: Effect of number of states and transferability of models. Transportation Research Part C: Emerging Technologies, 72, 202-224. ComertG.BezuglovA. & CetinM. (2016). Adaptive traffic parameter prediction: Effect of number of states and transferability of models. Transportation Research Part C: Emerging Technologies, 72, 202-224.Search in Google Scholar

Ahmadi, S. A., Ghorbanian, A., & Mohammadzadeh, A. (2019). Moving vehicle detection, tracking and traffic parameter estimation from a satellite video: A perspective on a smarter city. International journal of remote sensing, 40(22), 8379-8394. AhmadiS. A.GhorbanianA. & MohammadzadehA. (2019). Moving vehicle detection, tracking and traffic parameter estimation from a satellite video: A perspective on a smarter city. International journal of remote sensing, 40(22), 8379-8394.Search in Google Scholar

Dai, Z., Song, H., Liang, H., Wu, F., Wang, X., Jia, J., & Fang, Y. (2023). Traffic parameter estimation and control system based on machine vision. Journal of Ambient Intelligence and Humanized Computing, 1-13. DaiZ.SongH.LiangH.WuF.WangX.JiaJ. & FangY. (2023). Traffic parameter estimation and control system based on machine vision. Journal of Ambient Intelligence and Humanized Computing, 1-13.Search in Google Scholar

Kessels, F., Kessels, R., & Rauscher. (2019). Traffic flow modelling. Springer International Publishing. KesselsF.KesselsR. & Rauscher. (2019). Traffic flow modelling. Springer International Publishing.Search in Google Scholar

Hou, Y., Edara, P., & Sun, C. (2014). Traffic flow forecasting for urban work zones. IEEE transactions on intelligent transportation systems, 16(4), 1761-1770. HouY.EdaraP. & SunC. (2014). Traffic flow forecasting for urban work zones. IEEE transactions on intelligent transportation systems, 16(4), 1761-1770.Search in Google Scholar

Sumalee, A., & Ho, H. W. (2018). Smarter and more connected: Future intelligent transportation system. Iatss Research, 42(2), 67-71. SumaleeA. & HoH. W. (2018). Smarter and more connected: Future intelligent transportation system. Iatss Research, 42(2), 67-71.Search in Google Scholar

Battiato, S., Farinella, G. M., Gallo, G., & Giudice, O. (2018). On-board monitoring system for road traffic safety analysis. Computers in Industry, 98, 208-217. BattiatoS.FarinellaG. M.GalloG. & GiudiceO. (2018). On-board monitoring system for road traffic safety analysis. Computers in Industry, 98, 208-217.Search in Google Scholar

Khazukov, K., Shepelev, V., Karpeta, T., Shabiev, S., Slobodin, I., Charbadze, I., & Alferova, I. (2020). Real-time monitoring of traffic parameters. Journal of Big data, 7, 1-20. KhazukovK.ShepelevV.KarpetaT.ShabievS.SlobodinI.CharbadzeI. & AlferovaI. (2020). Real-time monitoring of traffic parameters. Journal of Big data, 7, 1-20.Search in Google Scholar

Jachimczyk, B., Dziak, D., Czapla, J., Damps, P., & Kulesza, W. J. (2018). IoT on-board system for driving style assessment. Sensors, 18(4), 1233. JachimczykB.DziakD.CzaplaJ.DampsP. & KuleszaW. J. (2018). IoT on-board system for driving style assessment. Sensors, 18(4), 1233.Search in Google Scholar

Buzikov, M. E., Galyaev, A. A., Guryev, Y. V., Titov, K. B., Yakushenko, E. I., & Vassilyev, S. N. (2019). Intelligent control of autonomous and anthropocentric on-board systems. Procedia Computer Science, 150, 10-18. BuzikovM. E.GalyaevA. A.GuryevY. V.TitovK. B.YakushenkoE. I. & VassilyevS. N. (2019). Intelligent control of autonomous and anthropocentric on-board systems. Procedia Computer Science, 150, 10-18.Search in Google Scholar

Zheng, J., Xu, B., Wang, X., Fan, X., Xu, H., & Sun, G. (2019). A portable roadside vehicle detection system based on multi-sensing fusion. International Journal of Sensor Networks, 29(1), 38-47. ZhengJ.XuB.WangX.FanX.XuH. & SunG. (2019). A portable roadside vehicle detection system based on multi-sensing fusion. International Journal of Sensor Networks, 29(1), 38-47.Search in Google Scholar

Creß, C., Bing, Z., & Knoll, A. C. (2023). Intelligent transportation systems using roadside infrastructure: A literature survey. IEEE Transactions on Intelligent Transportation Systems. CreßC.BingZ. & KnollA. C. (2023). Intelligent transportation systems using roadside infrastructure: A literature survey. IEEE Transactions on Intelligent Transportation Systems.Search in Google Scholar

Maha Vishnu, V. C., Rajalakshmi, M., & Nedunchezhian, R. (2018). Intelligent traffic video surveillance and accident detection system with dynamic traffic signal control. Cluster Computing, 21, 135-147. Maha VishnuV. C.RajalakshmiM. & NedunchezhianR. (2018). Intelligent traffic video surveillance and accident detection system with dynamic traffic signal control. Cluster Computing, 21, 135-147.Search in Google Scholar

Ghahremannezhad, H., Shi, H., & Liu, C. (2023). Object detection in traffic videos: A survey. IEEE Transactions on Intelligent Transportation Systems, 24(7), 6780-6799. GhahremannezhadH.ShiH. & LiuC. (2023). Object detection in traffic videos: A survey. IEEE Transactions on Intelligent Transportation Systems, 24(7), 6780-6799.Search in Google Scholar

Appathurai, A., Sundarasekar, R., Raja, C., Alex, E. J., Palagan, C. A., & Nithya, A. (2020). An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system. Circuits, Systems, and Signal Processing, 39, 734-756. AppathuraiA.SundarasekarR.RajaC.AlexE. J.PalaganC. A. & NithyaA. (2020). An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system. Circuits, Systems, and Signal Processing, 39, 734-756.Search in Google Scholar

Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne