100 Years of the Ubiquitous Traffic Lights: An All-Round Review

References

• Traffic signals: A brief history | Washington State Magazine | Washington State University Available: https://magazine.wsu.edu/web-extra/traffic-signals-a-brief-history/
   Google Scholar
• Smart signals | Washington State Magazine | Washington State University (wsu.edu) Available: https://magazine.wsu.edu/2019/08/02/smart-signals/
   Google Scholar
• M. M. Rahman, Y. Zhou, and J. Rogers, “Performance evaluation of median U-turn intersection for alleviating traffic congestion: An agent-based simulation study,” in IISE annual conference, 2019. Orlando, FL: Institute of Industrial and Systems Engineers.
   Google Scholar
• D. Rey, and M. W. Levin, “Blue phase: Optimal network traffic control for legacy and autonomous vehicles,” Transp. Res. B, Methodol., Vol. 130, pp. 105–129, 2019. ISSN 0191-2615.
   Web of Science ®Google Scholar
• R. Niroumand, L. Hajibabai, A. Hajbabaie, and M. Tajalli, “Effects of autonomous driving behavior on intersection performance and safety in the presence of white phase for mixed-autonomy traffic stream,” Transp. Res. Rec., Vol. 2676, no. 8, pp. 112–130, 2022. DOI: 10.1177/03611981221082580.
   Web of Science ®Google Scholar
• “U-turn plan to help ease traffic in congested areas of Delhi” Available: https://www.newindianexpress.com/thesundaystandard/2020/nov/01/u-turn-plan-to-help-ease-traffic-in-congested-areas-of-delhi-2217687.htm
   Google Scholar
• “Back-to-back U-turns: Soon commuters will face no traffic snarls near Majnu Ka Tilla on Outer Ring Road” Available: https://www.millenniumpost.in/delhi/back-to-back-u-turns-soon-commuters-will-face-no-traffic-snarls-near-majnu-ka-tilla-on-outer-ring-road-466327
   Google Scholar
• N. B. Hounsell, B. P. Shrestha, J. Piao, and M. McDonald, “Review of urban traffic management and the impacts of new vehicle technologies. institution of engineering & technology,” Intell. Trans. Syst., Vol. 3, no. 4, pp. 419–428, 2009. DOI: 10.1049/iet-its.2009.0046.
   Web of Science ®Google Scholar
• “How Technology is Changing Traffic Management: The future of commuting”. online blog Available: https://www.aeologic.com/blog/how-technology-is-changing-traffic-management-the-future-of-commuting/.
   Google Scholar
• E. Ekwonwune, N. Ngozi, and O. Eberechi, “ICT devices: Vital tools for enhancing road traffic monitoring,” Commun. Netw., Vol. 10, pp. 43–50, 2018. DOI: 10.4236/cn.2018.103004.
   Google Scholar
• “The effects of technological innovations in traffic management” Available: https://www.torhoermanlaw.com/the-effects-of-technological-innovations-in-traffic-management/
   Google Scholar
• E. A. Mueller, “Aspects of the history of traffic signals,” IEEE Trans. Veh. Technol., Vol. 19, no. 1, pp. 6–17, Feb. 1970.
   Google Scholar
• D. C. Gazis, “Traffic control: From hand signals to computers’,” Proc. IEEE, Vol. 59, no. 7, pp. 1090–1099, July 1971. DOI: 10.1109/PROC.1971.8336.
   Google Scholar
• M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y. Wang, “Review of road traffic control strategies,” Proc. IEEE, Vol. 91, no. 12, pp. 2043–2067, Dec. 2003.
   Web of Science ®Google Scholar
• M. G. H. Bell, “Future directions in traffic signal control", Transp. Res. Part A. Policy Pract., Vol. 26, no. 4, pp. 303–313, 1992.
   Web of Science ®Google Scholar
• D. Zhao, Y. Dai, and Z. Zhang, “Computational intelligence in urban traffic signal control: A survey,” IEEE Transact Syst. Man Cybernet. Part C (Appl. Rev.), Vol. 42, no. 4, pp. 485–494, July 2012.
   Web of Science ®Google Scholar
• P. W. Shaikh, M. El-Abd, M. Khanafer, and K. Gao, “A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem,” IEEE Trans. Intell. Transp. Syst., Vol. 23, no. 1, pp. 48–63, January 2022.
   Web of Science ®Google Scholar
• A. I. Torre-Bastida, J. Del Ser, I. Laña, M. Ilardia, M. N. Bilbao, and S. Campos-Cordobés, “Big data for transportation and mobility: Recent advances, trends and challenges,” IET Intel. Transp Syst., Vol. 12, no. 8, pp. 742–755, 2018.
   Web of Science ®Google Scholar
• H. Nguyen, L. Kieu, T. Wen, and C. Cai, “Deep learning methods in transportation domain: A review,” IET Intell. Transp. Syst, Vol. 12, no. 9, pp. 998–1004, Nov. 2018.
   Web of Science ®Google Scholar
• B. W. Marsh, “Traffic control,” Ann. Am. Acad. Politi. Sci., Vol. 133, pp. 90–113, 1927.
   Google Scholar
• C. M. Day, et al. Traffic Signal Systems Research: Past, Present, and Future Trends. Centen. Pap.2019. Available: http://onlinepubs.trb.org/onlinepubs/centennial/papers/AHB25-Final.pdf.
   Google Scholar
• A. T. Rodwell, “Street traffic control by electrically-operated equipment,” Trans. South Afr. Inst. Electr. Eng., Vol. XX, no. 4, pp. 91–105, April 1929.
   Google Scholar
• H. I. Turner, “The flexible progressive traffic signal system,” Trans American Inst Elect Eng, Vol. 51, no. 3, pp. 786–789, Sept. 1932.
   Google Scholar
• H. A. Haugh, “The electro-matic traffic dispatching system,” Electr. Eng., Vol. 51, no. 4, pp. 266–266, April 1932.
   Google Scholar
• H. W. Vickery, and V. W. Leonard, “A recent development in traffic control,” Trans. Am. Inst. Elect. Eng., Vol. 51, no. 3, pp. 796–800, Sept. 1932.
   Google Scholar
• C. H. Bissell, and J. G. Hummel, “The traffic flow regulator,” Trans. American Instf. Elect. Engs., Vol. 51, no. 3, pp. 801–802, Sept. 1932.
   Google Scholar
• F. G. Tyack, “Street traffic signals, with particular reference to vehicle actuation,” IEE J., Vol. 82, pp. 125–154, 1938.
   Google Scholar
• J. T. Hewton, “The metropoliton Toronto traffic control signal system,”  Proc. IEEE, Vol. 56, no. 4, pp. 577–599, April 1968.
   Google Scholar
• M. I. Weinberg, H. Goldstein, T. J. McDade, and R. H. Wahlen. Digital computer controlled traffic signal system for a small city. NCHRP report 29. Washington, DC: Transportation Research Board, 1966.
   Google Scholar
• A. K. Shrivastava, K. S. R. Anjaneyulu, P. S. Jain, and D. V. Poornaiah, “Microprocessor-Controlled road traffic signalling system ‘micorts’,” IETE. J. Res., Vol. 26, no. 3, pp. 180–185, 1980.
   Google Scholar
• A. Balasubramaniam, M. J. Jami Gul, V. G. Menon, and A. Paul, “Blockchain For intelligent transport system,” IETE Tech. Rev., Vol. 38, no. 4, pp. 438–449, 2021.
   Web of Science ®Google Scholar
• C. Liu, R. Herman, and D. C. Gazis, “A review of the yellow interval dilemma,” Transp. Res. A Policy Pract., Vol. 30, no. 5, pp. 333–348, 1996.
   Web of Science ®Google Scholar
• C. W. Stark, “The model municipal traffic ordinance,” National Municip. Rev., Vol. 17, no. 11, pp. 684–689, 1928.
   Google Scholar
• W. B. POWELL, “Order for chaos in traffic signal,” National Municip. Rev., Vol. 18, no. 3, pp. 157–158, 1929.
   Google Scholar
• W. T. Dempsey, “Traffic control,” J. A.I.E.E, Vol. 48, no. 4, pp. 317–318, April 1929.
   Google Scholar
• D. Bullock, and T. Urbanik. Traffic signal systems addressing diverse technologies and complex user needs. Washington, DC: Committee on Traffic Signal Systems, Part A, 1999, pp. 3–18
   Google Scholar
• NTCIP 1218 v01.38 National Transportation Communications for ITS Protocol Object Definitions for Roadside Units (RSUs). Available: https://www.ntcip.org/file/2021/01/NTCIP-1218v0138-RSU-toUSDOT-20200905.pdf.
   Google Scholar
• Report of Committee on Traffic Control. 1924 National Conference on Street and Highway safety. Available: https://books.googleusercontent.com/books/content?req=AKW5QaeTsOeTFSgWJTCPYzng0c9d8LbWekyiNKLgZsNleCyuspk4rNdlqkr-AiHvEsDnvm2wQ8cXo50w4_P5XF2PlNkY0qU-qimbP5mXzlRJej0OBktC0mNv0xr1ytUkAb-IQhJo6RgefG3hhzpEBLQsoe2LPQoEbuZkPuOd8Av965fN2wAqWIrsNndyLZoEucMuQiVBr0p8YYkEfwNRDCLIrZK1rAuiQre_99u9KtcB2Ca1XqwbslFFQvfVcnYKU_pil8wjPCFXqBpEXbxVoNA6qBW1UCvelg.
   Google Scholar
• First National Conference on Street and Highway Safety Hoover’s Address Available: https://www.careforcrashvictims.com/assets/24P11-Hoover-Address-1924.pdf
   Google Scholar
• D. DeVoe, and R. W. Wall, “A distributed smart signal architecture for traffic signal controls,” 2008 IEEE Int. Sympos. Indust. Elect., 2060–2065, 2008.
   Google Scholar
• J. Jatoth, N. K. Singh, and A. Mehar, “Evaluating the performance of signalized intersection with signal countdown timer,” Int. J. ITS Res., Vol. 19, pp. 182–190, 2021. DOI: 10.1007/s13177-020-00233-2.
   Google Scholar
• M. R. Islam, D. S. Hurwitz, and K. L. Macuga, “Improved driver responses at intersections with red signal countdown timers,” Transp. Res. C, Emerg. Technol., Vol. 63, pp. 207–221, 2016. ISSN 0968-090X, DOI: 10.1016/j.trc.2015.12.008.
   Web of Science ®Google Scholar
• A. Newell, and H. Simon, “The logic theory machine – a complex information processing system,” IRE Trans. Inform. Theor., Vol. 2, no. 3, pp. 61–79, Sept. 1956. DOI: 10.1109/TIT.1956.1056797.
   Google Scholar
• L. A. Yardeni, “Algorithms for traffic-signal control,” IBM Syst. J., Vol. 4, no. 2, pp. 148–161, 1965.
   Google Scholar
• M. Freimer, “A dynamic programming approach to adaptive control processes,” IRE Trans. Autom. Control, Vol. 4, no. 2, pp. 10–15, Nov. 1959.
   Google Scholar
• N. V. Findler, “Some New approaches to machine learning,” IEEE Trans. Syst. Sci. Cybern., Vol. 5, no. 3, pp. 173–182, July 1969.
   Google Scholar
• B. C. Black, and D. C. Gazis, “Real-time traffic flow optimization,” IBM Syst. J., Vol. 10, no. 3, pp. 217–231, 1971.
   Google Scholar
• H. J. Payne, W. A. Thompson, and L. Isaksen, “Design of a traffic-responsive control system for a Los Angeles freeway,” IEEE Trans. Syst. Man. Cybernet, Vol. SMC-3, no. 3, pp. 213–224, May 1973.
   Google Scholar
• N. H. Gartner, “Development and testing of a demand-responsive strategy for traffic signal control,” in American control conference, 1982, pp. 578–583.
   Google Scholar
• M. C. Bell, “The fundamental issues of an expert system for urban traffic control,” IEE Colloqu. Appl. Exp. Syst. Road Transp., Vol. 7, pp. 1–7/6, 1988.
   Google Scholar
• C. G. Toomey, B. Friedrich, and M. Clark, “BALANCE – a European field trial,” in 9th international conference on road transport information and control, 1998. (conf. publ. No. 454), 1998, pp. 95–99.
   Google Scholar
• J. Niittymaki, and R. Nevala, “Fuzzy adaptive traffic signal control-principles and results,” in Proceedings joint 9th IFSA world congress and 20th NAFIPS international conference (Cat. No. 01TH8569), 2001., pp. 2870–2875 vol.5.
   Google Scholar
• B. Maurin, O. Masoud, and N. P. Papanikolopoulos, “Tracking all traffic: Computer vision algorithms for monitoring vehicles, individuals, and crowds,” IEEE Robot. Autom. Mag., Vol. 12, no. 1, pp. 29–36, March 2005.
   Web of Science ®Google Scholar
• G. Zhang, and Y. Wang, “Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections,” IEEE Trans. Intell. Transp. Syst., Vol. 12, no. 1, pp. 164–173, March 2011.
   Web of Science ®Google Scholar
• P. LA, and S. Bhatnagar, “Reinforcement learning with function approximation for traffic signal control,” IEEE Trans. Intell. Transp. Syst., Vol. 12, no. 2, pp. 412–421, June 2011.
   Web of Science ®Google Scholar
• J. Lee, and B. Park, “Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment,” IEEE Trans. Intell. Transp. Syst., Vol. 13, no. 1, pp. 81–90, March 2012.
   Web of Science ®Google Scholar
• K. Pandit, D. Ghosal, H. M. Zhang, and C. Chuah, “Adaptive traffic signal control with vehicular Ad hoc networks,” IEEE Trans. Veh. Technol., Vol. 62, no. 4, pp. 1459–1471, May 2013.
   Web of Science ®Google Scholar
• A. Ahmad, R. Arshad, S. A. Mahmud, G. M. Khan, and H. S. Al-Raweshidy, “Earliest-deadline-based scheduling to reduce urban traffic congestion,” IEEE Trans. Intell. Transp. Syst., Vol. 15, no. 4, pp. 1510–1526, Aug. 2014.
   Web of Science ®Google Scholar
• K. Jang, H. Kim, and I. G. Jang, “Traffic signal optimization for oversaturated urban networks: queue growth equalization,” IEEE Trans. Intell. Transp. Syst., Vol. 16, no. 4, pp. 2121–2128, Aug. 2015.
   Web of Science ®Google Scholar
• B. Ye, W. Wu, L. Li, and W. Mao, “A hierarchical model predictive control approach for signal splits optimization in large-scale urban road networks,” IEEE Trans. Intell. Transp. Syst., Vol. 17, no. 8, pp. 2182–2192, Aug. 2016.
   Web of Science ®Google Scholar
• C. Backfrieder, G. Ostermayer, and C. F. Mecklenbräuker, “Increased traffic flow through node-based bottleneck prediction and V2X communication,” IEEE Trans. Intell. Transp. Syst., Vol. 18, no. 2, pp. 349–363, Feb. 2017.
   Web of Science ®Google Scholar
• Y. Bi, X. Lu, Z. Sun, D. Srinivasan, and Z. Sun, “Optimal type-2 fuzzy system For arterial traffic signal control,” IEEE Trans. Intell. Transp. Syst., Vol. 19, no. 9, pp. 3009–3027, Sept. 2018.
   Web of Science ®Google Scholar
• P. Grandinetti, C. Canudas-de-Wit, and F. Garin, “Distributed optimal traffic lights design for large-scale urban networks,” IEEE Trans. Cont Syst. Technol., Vol. 27, no. 3, pp. 950–963, May 2019.
   Web of Science ®Google Scholar
• L. Zhihui, C. Qian, Z. Yonghua, T. Pengfei, and Z. Rui, “Krill herd algorithm for signal optimization of cooperative control With traffic supply and demand,” IEEE. Access., Vol. 7, pp. 10776–10786, 2019.
   Google Scholar
• S. D. Kumaravel, and R. Ayyagari, “A decentralized signal control for Non-lane-based heterogeneous traffic under V2I communication,” IEEE Trans. Intell. Transp. Syst., Vol. 21, no. 4, pp. 1741–1750, April 2020.
   Web of Science ®Google Scholar
• R. Zhang, A. Ishikawa, W. Wang, B. Striner, and O. K. Tonguz, “Using reinforcement learning with partial vehicle detection for intelligent traffic signal control,” IEEE Trans. Intell. Transp. Syst., Vol. 22, no. 1, pp. 404–415, Jan. 2021.
   Web of Science ®Google Scholar
• A. Aliyu, et al., “Cloud computing in VANETs: architecture, taxonomy, and challenges,” IETE Tech. Rev., Vol. 35, no. 5, pp. 523–547, 2018.
   Web of Science ®Google Scholar
• D. C. Gazis, R. B. Potts, and Thomas J. Watson IBM Research Center, The Oversaturated Intersection. Yorktown Heights, NY: International Business Machines Corp. Thomas J. Watson Research Center, 1963.
   Google Scholar