B. W. Marsh, Traffic control, The Annals of the American Academy of Political and Social Science, vol. 133, no. 1, pp. 90–113, 1927.
C. Day, S. Langdon, A. Stevanovic, A. Tanaka, K. Lee, E. Smaglik, L. Overn, N. Agarwal, L. Richardson, and S. Philips, Traffic signal systems research: Past, present, and future trends, http://onlinepubs.trb.org/onlinepubs/centennial/papers/AHB25-Final.pdf, 2019.
H. A. Haugh, The electro-matic traffic dispatching system, Electrical Engineering, vol. 51, no. 4, pp. 266–266, 1932.
H. W. Vickery and V. W. Leonard, A recent development in traffic control, Transactions of the American Institute of Electrical Engineers, vol. 51, no. 3, pp. 796–800, 1932.
C. H. Bissell and J. G. Hummel, The traffic flow regulator, Transactions of the American Institute of Electrical Engineers, vol. 51, no. 3, pp. 801–802, 1932.
F. G. Tyack, Street traffic signals, with particular reference to vehicle actuation, IEE Journal, vol. 82, pp. 125–154, 1938.
J. T. Hewton, The metropoliton toronto traffic control signal system, Proceedings of the IEEE, vol. 56, no. 4, pp. 577–599, 1968.
M. I. Weinberg, H. Goldstein, T. J. McDade, and R. H. Wahlen, Digital Computer Controlled Traffic Signal System for a Small City. Washington, DC, USA: Transportation Research Board, 1966.
H. Sawant, J. Tan, Q. Yang, and Q. Wang, Using Bluetooth and sensor networks for intelligent transportation systems, in Proc. the 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749), Washington, DC, USA, 2004, pp. 767–772.
Y. Du, K. Man, and E. G. Lim, Image radar-based traffic surveillance system: An all-weather sensor as intelligent transportation infrastructure component, in Proc. 2020 International SoC Design Conference (ISOCC), Yeosu, Republic of Korea, 2020, pp. 161–162.
A. Li, B. Zheng, and L. Li, Intelligent transportation application and analysis for multi-sensor information fusion of internet of things, IEEE Sensors Journal, .
F. Zhu, Y. Lv, Y. Chen, X. Wang, G. Xiong, and F. Wang, Parallel transportation systems: Toward IoT-enabled smart urban traffic control and management, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4063–4071, 2020.
A. Bhaskar and E. Chung, Fundamental understanding on the use of Bluetooth scanner as a complementary transport data, Transportation Research Part C: Emerging Technologies, vol. 37, pp. 42–72, 2013.
C. Advani, S. Thakkar, S. Arkatkar, and A. Bhaskar, Performance evaluation of urban arterial network using Wi-Fi sensors under heterogeneous traffic conditions, Transportation Research Procedia, vol. 48, pp. 1022–1037, 2020.
A. I. Torre-Bastida, J. D. Ser, I. Laña, M. Ilardia, M. N. Bilbao, and S. Campos-Cordobés, Big data for transportation and mobility: Recent advances, trends and challenges, IET Intell. Transp. Syst., vol. 12, no. 8, pp. 742–755, 2018.
L. Zhu, F. R. Yu, Y. Wang, B. Ning, and T. Tang, Big data analytics in intelligent transportation systems: A survey, IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 1, pp. 383–398, 2019.
C. K. Leung, J. D. Elias, S. M. Minuk, A. R. R. D. Jesus, and A. Cuzzocrea, An innovative fuzzy logic-based machine learning algorithm for supporting predictive analytics on big transportation data, in Proc. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1–8.
Z. Sabir, Neuron analysis through the swarming procedures for the singular two-point boundary value problems arising in the theory of thermal explosion, Eur. Phys. J. Plus, vol. 137, p. 638, 2022.
Z. Sabir, M. A. Z. Raja, and D. Baleanu, Fractional mayer neuro-swarm heuristic solver for multi-fractional order doubly singular model based on lane-emden equation, Fractals, vol. 29, no. 5, p. 2140017, 2021.
A. Staino, A. Suwalka, P. Mitra, and B. Basu, Real-time detection and recognition of railway traffic signals using deep learning, J. Big Data Anal. Transp., vol. 4, pp. 57–71, 2022.
S. Kumar and M. Singh, Big data analytics for healthcare industry: Impact, applications, and tools, Big Data Mining and Analytics, vol. 2, no. 1, pp. 48–57, 2019.
H. Laude, France’s governmental big data analytics: From predictive to prescriptive using R, in Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence, F. A. Batarseh and R. Yang, eds. London, UK: Academic Press, 2018, pp. 81–94
M. Friesen, R. Jacob, P. Grestoni, T. Mailey, M. R. Friesen, and R. D. McLeod, Vehicular traffic monitoring using Bluetooth scanning over a wireless sensor network, Canadian Journal of Electrical and Computer Engineering, vol. 37, no. 3, pp. 135–144, 2014.
L. Cevcik and S. Koçak, Travel time prediction with Bluetooth sensor data in intelligent traffic systems (ITS), European Journal of Science and Technology, Special issue, pp. 522–529, 2020.
S. Remias, A. Hainen, J. Mathew, L. Vanajakshi, A. Sharma, and D. Bullock, Travel time observations using Bluetooth MAC address matching: A case study on the Rajiv Gandhi Roadway: Chennai, India, https://doi.org/10.5703/1288284316505, 2017.
J. Mathew, V. Devi, D. Bullock, and A. Sharma, Investigation of the use of Bluetooth sensors for travel time studies under Indian conditions, Transportation Research Procedia, .
I. Khliefat and I. Shatnawi, An optimization of Bluetooth sensor locations for origin-destination in an urban network, Journal of Transportation Technologies, vol. 7, no. 4, pp. 367–375, 2017.
B. N. Araghi, J. H. Olesen, R. Krishnan, L. T. Christensen, and H. Lahrmann, Reliability of Bluetooth technology for travel time estimation, Journal of Intelligent Transportation Systems, vol. 19, no. 3, pp. 240–255, 2015.
M. Abbas, L. Rajasekhar, A. Gharat, and J. P. Dunning, Microscopic modeling of control delay at signalized intersections based on Bluetooth data, Journal of Intelligent Transportation Systems, vol. 17, no. 2, pp. 110–122, 2013.
Z. Pu, M. Zhu, W. Li, Z. Cui, X. Guo, and Y. Wang, Monitoring public transit ridership flow by passively sensing Wi-Fi and Bluetooth mobile devices, IEEE Internet of Things Journal, vol. 8, no. 1, pp. 474–486, 2021.
A. R. Kulkarni, N. Kumar, and K. R. Rao, Design and development of Bluetooth based vehicle scanner for real time traffic control, in Proc. Sixth International Conference of Transportation Research Group of India, Trichy, India, 2021, pp. 413–424.