[
1. Anderson, M. L. (2013) Subways, strikes, and slowdowns: the impacts of public transit on traffic congestion, NBER Working Paper, 18757, 48 p. DOI: 10.3386/w18757.10.3386/w18757
]Search in Google Scholar
[
2. Archer, J. (2005) Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: a study of urban and suburban intersections. Doctoral Dissertation. KTH Royal Institute of Technology, Sweden, 254 p.
]Search in Google Scholar
[
3. Bartuška, L., Stopka, O., Ližbetin, J. (2015) Methodology for Determining the Traffic Volumes on Urban Roads in the Czech Republic. In: Proceedings of 19th International Conference: Transport Means 2015, 21–22 October 2015, Kaunas, Lithuania.
]Search in Google Scholar
[
4. Ben-Dor, G., Ben-Elia, E., 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. DOI: 10.1016/j.procs.2018.04.071.10.1016/j.procs.2018.04.071
]Search in Google Scholar
[
5. Chandra, S., Kumar, U. (2003) Effect of lane width on capacity under mixed traffic conditions in India. Journal of Transportation Engineering, 129(2), 155–160. DOI: 10.1061/(ASCE)0733-947X(2003)129:2(155).10.1061/(ASCE)0733-947X(2003)129:2(155)
]Search in Google Scholar
[
6. Cools, M., Moons, E., Wets, G. (2010) Assessing the impact of weather on traffic intensity. Weather, Climate, and Society, 2, 60–68. DOI: 10.1175/2009WCAS1014.1.10.1175/2009WCAS1014.1
]Search in Google Scholar
[
7. Dzyura, V. (2016) Ways of improvement of the city road network functioning. Journal of Sustainable Development of Transport and Logistics, 1(1), 11–15. DOI: 10.14254/jsdtl.2016.1-1.2.10.14254/jsdtl.2016.1-1.2
]Search in Google Scholar
[
8. Falcocchio, J. C., Levinson, H. S. (2015) Road Traffic Congestion: A Concise Guide. Springer. DOI: 10.1007/978-3-319-15165-6.10.1007/978-3-319-15165-6
]Search in Google Scholar
[
9. Guadamuz, R., Tang, H., Yu, Z., Guler, S. I., Gayah, V. V. (2021) Green time usage metrics on signalized intersections and arterials using high-resolution traffic data. International Journal of Transportation Science and Technology, in press. DOI: 10.1016/j.ijtst.2021.06.006.10.1016/j.ijtst.2021.06.006
]Search in Google Scholar
[
10. He, X., Liu, H. X., Liu, X. (2015) Optimal vehicle speed trajectory on a signalized arterial with consideration of queue. Transportation Research Part C: Emerging Technologies, 61, 106–120. DOI: 10.1016/j.trc.2015.11.001.10.1016/j.trc.2015.11.001
]Search in Google Scholar
[
11. Jiang, H., Hu, J., An, S., Wang, M., Park, B. B. (2017) Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment. Transportation Research Part C: Emerging Technologies, 79, 290–307. DOI: 10.1016/j.trc.2017.04.001.10.1016/j.trc.2017.04.001
]Search in Google Scholar
[
12. Jiang, J., Astolfi, A., Parisini, T. (2021) Robust traffic wave damping via shared control. Transportation Research Part C: Emerging Technologies, 128, id. 103110. DOI: 10.1016/j.trc.2021.103110.10.1016/j.trc.2021.103110
]Search in Google Scholar
[
13. Johansson, G., Rumar, K. (1971) Drivers’ brake reaction times. Human Factors: The Journal of the Human Factors and Ergonomics Society, 13(1), 23–27. DOI: 10.1177/001872087101300104.10.1177/0018720871013001045542208
]Search in Google Scholar
[
14. Lindley, J. A. (1987) Urban freeway congestion: quantification of the problem and effectiveness of potential solutions. ITE Journal, 57(1), 27–32.
]Search in Google Scholar
[
15. Lu, Q., Tettamanti, T., Hörcher, D, Varga, I. (2020) The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation. Transportation Letters: The International Journal of Transportation Research, 12(8), 540–549. DOI: 10.1080/19427867.2019.1662561.10.1080/19427867.2019.1662561
]Search in Google Scholar
[
16. Mahler, G., Vahidi, A. (2012) Reducing idling at red lights based on probabilistic prediction of traffic signal timings. In: 2012 American Control Conference (ACC), 27–29 June 2012, Montreal, QC, Canada, 6557–6562. DOI: 10.1109/ACC.2012.6314942.10.1109/ACC.2012.6314942
]Search in Google Scholar
[
17. Mazyliuk, P. (2019) Development of a method of rational passage of the regulated road sections by the vehicles. Lutsk National Technical University, Ukraine.
]Search in Google Scholar
[
18. Mazyliuk, P. (2018) Technical development of the method of non-stop travel of traffic lights. Bulletin of BrSTU, 4(112), 76–78.
]Search in Google Scholar
[
19. Metz, D. (2018) Developing policy for urban autonomous vehicles: impact on congestion. Urban Science, 2(2), 33. DOI: 10.3390/urbansci2020033.10.3390/urbansci2020033
]Search in Google Scholar
[
20. Mintsis, E., Vlahogianni, E. I., Mitsakis, E., Ozkul, S. (2021) Enhanced speed advice for connected vehicles in the proximity of signalized intersections. European Transport Research Review, 13, id. 2. DOI: 10.1186/s12544-020-00458-y.10.1186/s12544-020-00458-y
]Search in Google Scholar
[
21. Nguyen-Phuoc, D. Q., Currie, G., De Gruyter, C., Young, W. (2018a) How do public transport users adjust their travel behaviour if public transport ceases? A qualitative study. Transportation Research Part F: Traffic Psychology and Behaviour, 54, 1–14. DOI: 10.1016/j.trf.2018.01.009.10.1016/j.trf.2018.01.009
]Search in Google Scholar
[
22. Nguyen-Phuoc, D. Q., Currie, G., De Gruyter, C., Young, W. (2018b) Transit user reactions to major service withdrawal – a behavioural study. Transport Policy, 64, 29–37. DOI: 10.1016/j.tranpol.2018.01.004.10.1016/j.tranpol.2018.01.004
]Search in Google Scholar
[
23. Nguyen-Phuoc, D. Q., Young, W., Currie, G., De Gruyter, C. (2020) Traffic congestion relief associated with public transport: state-of-the-art. Public Transport, 12, 455–481. DOI: 10.1007/s12469-020-00231-3.10.1007/s12469-020-00231-3
]Search in Google Scholar
[
24. Pavkova, K., Currie, G., Delbosc, A. (2016) New methods exploring urban traffic congestion using Lorenz and concentration curves. In: Australasian Transport Research Forum 2016, 16–18 November 2016, Melbourne, Australia.
]Search in Google Scholar
[
25. Pnevmatikou, A. M., Karlaftis, M. G., Kepaptsoglou, K. (2015) Metro service disruptions: how do people choose to travel? Transportation, 42, 933–949. DOI: 10.1007/s11116-015-9656-4.10.1007/s11116-015-9656-4
]Search in Google Scholar
[
26. Rajak, B., Mallick, S., Kushwaha, D. S. (2020) Creating a dynamic real time green corridor and assessing its impact on normal traffic flow. Procedia Computer Science, 171, 2–11. DOI: 10.1016/j.procs.2020.04.002.10.1016/j.procs.2020.04.002
]Search in Google Scholar
[
27. Rubin, T. A., Mansour, F. (2013) Transit utilization and traffic congestion: is there a connection? Policy Study, 427, 144. Reason Foundation, Los Angeles, CA, US.
]Search in Google Scholar
[
28. Shramenko, N., Muzylyov, D., Shramenko, V., Mazyliuk P. (2020) Directions for quality assurance of specialists training in logistics and transport spheres from a competence approach perspective. Lecture Notes in Networks and Systems, 128, 605–611. DOI: 10.1007/978-3-030-46817-0_70.10.1007/978-3-030-46817-0_70
]Search in Google Scholar
[
29. Sitovsky, O., Mazyliuk, P. (2018) The system of display of the recommended mode of movement of the vehicle. Ukrainian Patent UA 123153, G08G1 1/0968.
]Search in Google Scholar
[
30. Sitovsky, O., Mazyliuk, P., Velyky, O. (2018) Computer Program – System of Display of the Recommended Mode of Movement of the Vehicle, A. C. 78903 UA, Ukraine.
]Search in Google Scholar
[
31. Török, J., Kertész, J. (1996) The green wave model of two-dimensional traffic: transitions in the flow properties and in the geometry of the traffic jam. Physica A: Statistical Mechanics and its Applications, 231(4), 515–533. DOI: 10.1016/0378-4371(96)00144-6.10.1016/0378-4371(96)00144-6
]Search in Google Scholar
[
32. Zhang, J., Shang, H., Li, X., Yao, Y. (2020) An integrated arterial coordinated control model considering green wave on branch roads and pedestrian crossing time at intersections. Journal of Management Science and Engineering, 5(4), 303–317. DOI: 10.1016/j.jmse.2020.09.004.10.1016/j.jmse.2020.09.004
]Search in Google Scholar
[
33. Zhang, Y., Smirnova, M. N., Ma, J., Smirnov, N. N., Zhu, Z. (2021) Tunnel effects on ring road traffic flow based on an urgent-gentle class traffic model. Theoretical and Applied Mechanics Letters, 11(4), id. 100283, DOI: 10.1016/j.taml.2021.100283.10.1016/j.taml.2021.100283
]Search in Google Scholar