This work is licensed under the Creative Commons Attribution 4.0 International License.
[1] Wang, Y., Li, F., Cui, X., & Zhang, L. (2020, January). Research on types and data characteristics of freeway escape in henan province. In 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 621-625). IEEE.WangY.LiF.CuiX.ZhangL. (2020, January). Research on types and data characteristics of freeway escape in henan province. In 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 621-625). IEEE.Search in Google Scholar
[2] Rodriguez, D. B. (2020). Road Wary: Mobility, Law, and the Problem of Escape. Iowa L. Rev., 106, 2397.RodriguezD. B. (2020). Road Wary: Mobility, Law, and the Problem of Escape. Iowa L. Rev., 106, 2397.Search in Google Scholar
[3] Jain, P., Dhillon, P., Singh, A. V., Vats, K., & Tripathi, S. (2018, September). A unique identity based automated toll collection system using RFID and image processing. In 2018 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 988-991). IEEE.JainP.DhillonP.SinghA. V.VatsK.TripathiS. (2018, September). A unique identity based automated toll collection system using RFID and image processing. In 2018 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 988-991). IEEE.Search in Google Scholar
[4] Qin, Z., & Pan, Y. H. (2020). A scheme to increase the speed at which special vehicles enter the expressway. Journal of the Korea Convergence Society, 11(6), 59-67.QinZ.PanY. H. (2020). A scheme to increase the speed at which special vehicles enter the expressway. Journal of the Korea Convergence Society, 11(6), 59-67.Search in Google Scholar
[5] Franceschi, L., Otto, G. G., Kaesemodel, L., & Valente, A. M. (2020). Effects of drivers evasive behavior on the placement of automated enforcement equipment in highway systems. Transportes, 28(5), 235-251.FranceschiL.OttoG. G.KaesemodelL.ValenteA. M. (2020). Effects of drivers evasive behavior on the placement of automated enforcement equipment in highway systems. Transportes, 28(5), 235-251.Search in Google Scholar
[6] Feng, J., Ye, J., & Zhou, L. (2022, December). Recognition of Abnormal Driving Behavior of Highway Vehicles Based on Data Characteristics. In 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) (pp. 272-284). Atlantis Press.FengJ.YeJ.ZhouL. (2022, December). Recognition of Abnormal Driving Behavior of Highway Vehicles Based on Data Characteristics. In 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) (pp. 272-284). Atlantis Press.Search in Google Scholar
[7] Ye, J., Li, T., Feng, J., & Zhou, L. (2022, December). Construction of An Audit Platform for Vehicles with Unusual Driving Behavior. In 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) (pp. 918-925). Atlantis Press.YeJ.LiT.FengJ.ZhouL. (2022, December). Construction of An Audit Platform for Vehicles with Unusual Driving Behavior. In 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) (pp. 918-925). Atlantis Press.Search in Google Scholar
[8] Al-Ghawi, S. S., Hussain, S. A., Al Rahbi, M. A., & Hussain, S. Z. (2016, March). Automatic toll e-ticketing system for transportation systems. In 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-5). IEEE.Al-GhawiS. S.HussainS. A.Al RahbiM. A.HussainS. Z. (2016, March). Automatic toll eticketing system for transportation systems. In 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-5). IEEE.Search in Google Scholar
[9] Tan, J. Y., Ker, P. J., Mani, D., & Arumugam, P. (2017). GPS-based highway toll collection system: Novel design and operation. Cogent Engineering, 4(1), 1326199.TanJ. Y.KerP. J.ManiD.ArumugamP. (2017). GPS-based highway toll collection system: Novel design and operation. Cogent Engineering, 4(1), 1326199.Search in Google Scholar
[10] Desai, M. M., & Patoliya, J. J. (2017, April). Smart toll collection system using embedded Linux environment. In 2017 2nd International Conference for Convergence in Technology (I2CT) (pp. 79-83). IEEE.DesaiM. M.PatoliyaJ. J. (2017, April). Smart toll collection system using embedded Linux environment. In 2017 2nd International Conference for Convergence in Technology (I2CT) (pp. 79-83). IEEE.Search in Google Scholar
[11] Delbosc, A., & Currie, G. (2019). Why do people fare evade? A global shift in fare evasion research. Transport Reviews, 39(3), 376-391.DelboscA.CurrieG. (2019). Why do people fare evade? A global shift in fare evasion research. Transport Reviews, 39(3), 376-391.Search in Google Scholar
[12] Dudhe, P., Tembhurne, S., Telghare, B., Chaudhary, A., Meshram, P., & Waghmare, S. (2024, February). GPS-Enhanced Automated Toll Management System. In 2024 2nd International Conference on Computer, Communication and Control (IC4) (pp. 1-3). IEEE.DudheP.TembhurneS.TelghareB.ChaudharyA.MeshramP.WaghmareS. (2024, February). GPS-Enhanced Automated Toll Management System. In 2024 2nd International Conference on Computer, Communication and Control (IC4) (pp. 1-3). IEEE.Search in Google Scholar
[13] Kodge, B. G. (2023). A Review on Location Based Efficient Road Toll Collection System using RFID and NPRS Techniques. In E3S Web of Conferences (Vol. 453, p. 01003). EDP Sciences.KodgeB. G. (2023). A Review on Location Based Efficient Road Toll Collection System using RFID and NPRS Techniques. In E3S Web of Conferences (Vol. 453, p. 01003). EDP Sciences.Search in Google Scholar
[14] Chauhan, R. K., & Chauhan, K. (2022). Intelligent toll collection system for moving vehicles in India. Intelligent Systems with Applications, 15, 200099.ChauhanR. K.ChauhanK. (2022). Intelligent toll collection system for moving vehicles in India. Intelligent Systems with Applications, 15, 200099.Search in Google Scholar
[15] Wang Z, Zhan J, Duan C, Guan X, Lu P, Yang K. A review of vehicle detection techniques for intelligent vehicles. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(8): 3811-3831.WangZZhanJDuanCGuanXLuPYangKA review of vehicle detection techniques for intelligent vehicles. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(8): 3811-3831.Search in Google Scholar
[16] Procházka M, Pinkas R, Janků M, Stryk J, Grošek J. AUTOMATED DETECTION OF PAVEMENT DEFECTS USING COMPUTER VISION. International Multidisciplinary Scientific GeoConference: SGEM, 2022, 22(2.1): 287-293.ProcházkaMPinkasRJankůMStrykJGrošekJAUTOMATED DETECTION OF PAVEMENT DEFECTS USING COMPUTER VISION. International Multidisciplinary Scientific GeoConference: SGEM, 2022, 22(2.1): 287-293.Search in Google Scholar
[17] Hijji M, Iqbal R, Pandey A K, Doctor F, Karyotis C, Rajeh W, Aradah F. 6G connected vehicle framework to support intelligent road maintenance using deep learning data fusion. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(7): 7726-7735.HijjiMIqbalRPandeyA KDoctorFKaryotisCRajehWAradahF6G connected vehicle framework to support intelligent road maintenance using deep learning data fusion. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(7): 7726-7735.Search in Google Scholar
[18] Patil J K, Mali P S, Tirmare A H, Mandlik V S. A Novel Method of Traffic Rule Compliance Detection Using Morphological Operations at Toll Booths. SSRG International Journal of Electrical and Electronics Engineering, 2023, 10(1): 148-159.PatilJ KMaliP STirmareA HMandlikV S. A Novel Method of Traffic Rule Compliance Detection Using Morphological Operations at Toll Booths, SSRG International Journal of Electrical and Electronics Engineering, 2023(10): 1-148.Search in Google Scholar
[19] Lokanan M E. Predicting money laundering using machine learning and artificial neural networks algorithms in banks. Journal of Applied Security Research, 2024, 19(1): 20-44.LokananM E. Predicting money laundering using machine learning and artificial neural networks algorithms in banks, Journal of Applied Security Research, 2024(19): 1-20.Search in Google Scholar
[20] Murorunkwere B F, Haughton D, Nzabanita J, Kipkogei F, Kabano I. Predicting tax fraud using supervised machine learning approach. African Journal of Science, Technology, Innovation and Development, 2023, 15(6): 731-742.MurorunkwereF BHaughtonDNzabanitaJKipkogeiFKabanoI. Predicting tax fraud using supervised machine learning approach, African Journal of Science, Technology, Innovation and Development, 2023(15): 6-731.Search in Google Scholar
[21] Liu Y, Zheng S, Xu X, Wang T, Ye J. Prediction of fake toll-free logistic vehicles based on historical traffic data. Journal of Highway and Transportation Research and Development (English Edition), 2021, 15(2): 54-64.LiuYZhengSXuXWangTYeJ. Prediction of fake toll-free logistic vehicles based on historical traffic data, Journal of Highway and Transportation Research and Development (English Edition), 2021(15): 2-54.Search in Google Scholar
[22] Momade M H, Shahid S, Hainin M R, Nashwan M S, Tahir Umar A. Modelling labour productivity using SVM and RF: a comparative study on classifiers performance. International Journal of Construction Management, 2022, 22(10): 1924-1934.MomadeM HShahidSHaininM RNashwanM STahirUmar A. Modelling labour productivity using SVM and RF: a comparative study on classifiers performance, International Journal of Construction Management, 2022(22): 10-1924.Search in Google Scholar
[23] Chun P, Izumi S, Yamane T. Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine. Computer-Aided Civil and Infrastructure Engineering, 2021, 36(1): 61-72.ChunPIzumiSYamaneT. Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine, Computer-Aided Civil and Infrastructure Engineering, 2021(36): 1-61.Search in Google Scholar