Ata, A., Khan, M. A., Abbas, S., Ahmad, G., & Fatima, A. (2019) Modelling smart road traffic congestion control system using machine learning techniques. Neural Network World, 29(2), 99-110.10.14311/NNW.2019.29.008Search in Google Scholar
Patan, R., Suresh, K., Babu, M.R. (2016) Real-time smart traffic management system for smart cities by using the Internet of Things and big data. In: Emerging Technological Trends (ICETT), International Conference, IEEE, 1-7.Search in Google Scholar
Van Arem, B., Kirby, H. R., Van Der Vlist, M. J. M. and Whittaker, J. C. (1997) Recent advances and applications in the field of short-term traffic forecasting. Int. J. Forecasting, 13(1), 1–12.Search in Google Scholar
Schaller, B. (2017) UNSUSTAINABLE? The Growth of App-Based Ride Services and Traffic, Travel and the Future of New York City. http://schallerconsult.com/rideservices/unsustainable.pdf.Search in Google Scholar
Ben-Dor, G., Ben-Elia, E., & Benenson, I. (2019) Determining an Optimal Fleet Size for a Reliable Shared Automated Vehicle Ride-Sharing Service. Procedia Computer Science, 151, 878-883. https://doi.org/10.1016/j.procs.2019.04.12110.1016/j.procs.2019.04.121Search in Google Scholar
Ben-Dor, G., Ben-Elia, E. and Benenson, I. (2018) Assessing the impacts of dedicated bus lanes on urban traffic congestion and modal split with an agent-based model. Procedia computer science, 130, 824-829.10.1016/j.procs.2018.04.071Search in Google Scholar
Tsitsokas, D., Kouvelas, A. and Geroliminis, N. (2021) Modelling and optimization of dedicated bus lanes space allocation in large networks with dynamic congestion. Transportation Research Part C: Emerging Technologies, 127, 103082.10.1016/j.trc.2021.103082Search in Google Scholar
DeCorla-Souza, P. (2000) Making the Pricing of Currently Free Highway Lanes Acceptable to the Public. Transportation Quarterly, 54(3), 17-20.Search in Google Scholar
Chong, H. F. and Ng, Danny Wee Kiat (2016) Development of IoT device for traffic management system. In: 2016 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2016.10.1109/SCORED.2016.7810059Search in Google Scholar
Rizwan, P., Suresh, K. and Babu, M. R. (2016) Real-time smart traffic management system for smart cities by using Internet of Things and big data. In: 2016 international conference on emerging technological trends (ICETT). IEEE, 2016.10.1109/ICETT.2016.7873660Search in Google Scholar
Mannion, P., Duggan, J. and Howley, E. (2015) Parallel reinforcement learning for traffic signal control. In: Procedia Computer Science, 52, 956-961.10.1016/j.procs.2015.05.172Search in Google Scholar
Lana, I. et al. (2018) Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine, 10(2), 93-109.10.1109/MITS.2018.2806634Search in Google Scholar
Firdous, A, and Niranjan, V. (2020) Smart Density Based Traffic Light System. In: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2020.10.1109/ICRITO48877.2020.9197940Search in Google Scholar
Patil, P. G. et al. (2020) Real Time Smart Traffic Control System. International Journal of Research in Engineering, Science and Management, 3(2), www.ijresm.com | ISSN (Online): 2581-5792.Search in Google Scholar
Hartanti, D., Rosida, N. A., and Siswipraptini, P. C. (2019) Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic. TELKOMNIKA Telecommunication Computing Electronics and Control, 17(1), 320-327.10.12928/telkomnika.v17i1.10129Search in Google Scholar
Al-Abaid, S. A. F. (2020) A Smart Traffic Control System Using Image Processing: A Review. Journal of Southwest Jiaotong University, 55(1).10.35741/issn.0258-2724.55.1.31Search in Google Scholar
Haydari, A. and Yilmaz, Y. (2020) Deep reinforcement learning for intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems.Search in Google Scholar
Kaelbling, L. P., Littman, M. L. and Moore, A. W. (1996) Reinforcement learning: A survey. Journal of artificial intelligence research, 4, 237-285.10.1613/jair.301Search in Google Scholar
Szepesvári, C. (2010) Algorithms for reinforcement learning. Synthesis lectures on artificial intelligence and machine learning, 4(1), 1-103.10.1007/978-3-031-01551-9Search in Google Scholar
Sutton, R. S., and Barto, A. (1999) Reinforcement learning. Journal of Cognitive Neuroscience, 11(1), 126-134.Search in Google Scholar
Sutton, R. S., and Barto, A. (2018) Reinforcement learning: An introduction. MIT press, 2018.Search in Google Scholar
Mannion, P., Duggan, J. and Howley, E. (2016) An experimental review of reinforcement learning algorithms for adaptive traffic signal control. Autonomic road transport support systems, 47-66.10.1007/978-3-319-25808-9_4Search in Google Scholar
Mannion, P., Duggan, J. and Howley, E. (2015) Parallel reinforcement learning for traffic signal control. In: Procedia Computer Science, 52, 956-961.10.1016/j.procs.2015.05.172Search in Google Scholar
Barzilay, O. Voloch, N. Hasgall, A. Lavi Steiner, O. Ahituv, N. (2018a) Traffic Control in a Smart Intersection by an Algorithm with Social Priorities. Contemporary Engineering Sciences, 11(31), 1499–1511.10.12988/ces.2018.83126Search in Google Scholar
Barzilay, O. Voloch, N. Hasgall, A. Lavi Steiner, O. (2018b) Real life applicative timing algorithm for a smart junction with social priorities and multiple parameters. In: 2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE), Eilat, Israel, 2018, 1-5. doi: 10.1109/ICSEE.2018.8646018Apri DOISearch in Google Scholar
Fine, Z., Brayer, E., Proshtisky, I., Barzilai, O., Voloch, N., & Steiner, O. L. (2019). Handling traffic loads in a smart junction by social priorities. In: 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), IEEE, 1-5.10.1109/COMCAS44984.2019.8958182Search in Google Scholar
Barzilay, O., Voloch, N., Giloni, A., Lavi Steiner, O. (2020) Auction based algorithm for a smart junction with social priorities. Transport and Telecommunication Journal, 21(2), 110-118. DOI: 10.2478/ttj-2020-0008.Apri DOISearch in Google Scholar
McKinsey (2013) Global Institute Infrastructure productivity: How to save $1 trillion a year. January 2013. Report: https://www.mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/infrastructure-productivity.Search in Google Scholar
Schaller, B. (2017) UNSUSTAINABLE? The Growth of App-Based Ride Services and Traffic, Travel and the Future of New York City. http://schallerconsult.com/rideservices/unsustainable.pdfSearch in Google Scholar
Abbas, S., Khan, M. A., Athar, A., Shan, S. A., Saeed, A., & Alyas, T. (2022) Enabling smart city with intelligent congestion control using hops with a hybrid computational approach. The Computer Journal, 65(3), 484-494.10.1093/comjnl/bxaa068Search in Google Scholar
Bokaba, T., Doorsamy, W., & Paul, B. S. (2022) A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion. Applied Sciences, 12(3), 1337.10.3390/app12031337Search in Google Scholar
Russo, A., Adler, M. W., & van Ommeren, J. N. (2022) Dedicated bus lanes, bus speed and traffic congestion in Rome. Transportation Research Part A: Policy and Practice, 160, 298-310.10.1016/j.tra.2022.04.001Search in Google Scholar
Boysen, N., Briskorn, D., Schwerdfeger, S., & Stephan, K. (2021) Optimizing carpool formation along high-occupancy vehicle lanes. European Journal of Operational Research, 293(3), 1097-1112.10.1016/j.ejor.2020.12.053Search in Google Scholar
DeCorla-Souza, P. T., Zahedian, S., Nohekhan, A., Nejad, M., & Erdogan, S. (2022) Exploratory Evaluation of Incentives to Increase High-Occupancy Vehicle Use on Priced Highway Facilities. Transportation Research Record, 03611981221076837.10.1177/03611981221076837Search in Google Scholar
Miletić, M., Ivanjko, E., Gregurić, M., & Kušić, K. (2022) A review of reinforcement learning applications in adaptive traffic signal control. IET Intelligent Transport Systems.10.1049/itr2.12208Search in Google Scholar
Noaeen, M., Naik, A., Goodman, L., Crebo, J., Abrar, T., Abad, Z. S. H., ... & Far, B. (2022) Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Systems with Applications, 116830.10.1016/j.eswa.2022.116830Search in Google Scholar