A review of game theory models of lane changing

References

• Ahmed, K. I. 1999. “Modeling Drivers' Acceleration and Lane Changing Behavior.” PhD thesis, Massachusetts Institute of Technology.
   Google Scholar
• Ahmed, K., M. Ben-Akiva, H. Koutsopoulos, and R. Mishalani. 1996. “Models of Freeway Lane Changing and Gap Acceptance Behavior.” Transportation and Traffic Theory 13: 501–515.
   Google Scholar
• Ali, Y., Z. Zheng, M. M. Haque, and M. Wang. 2019. “A Game Theory-Based Approach for Modelling Mandatory Lane-Changing Behaviour in a Connected Environment.” Transportation Research Part C: Emerging Technologies 106: 220–242.
   Web of Science ®Google Scholar
• Atagoziyev, M., K. W. Schmidt, and E. G. Schmidt. 2016. “Lane Change Scheduling for Autonomous Vehicles.” IFAC-PapersOnLine 49 (3): 61–66.
   Google Scholar
• Bajari, P., H. Hong, and S. P. Ryan. 2010. “Identification and Estimation of a Discrete Game of Complete Information.” Econometrica 78 (5): 1529–1568.
   Web of Science ®Google Scholar
• Beck, K. H., M. Q. Wang, and M. M. Mitchell. 2006. “Concerns, Dispositions and Behaviors of Aggressive Drivers: What Do Self-Identified Aggressive Drivers Believe About Traffic Safety?” Journal of Safety Research 37 (2): 159–165.
   PubMed Web of Science ®Google Scholar
• Blomquist, G. 1986. “A Utility Maximization Model of Driver Traffic Safety Behavior.” Accident Analysis & Prevention 18 (5): 371–375.
   PubMed Web of Science ®Google Scholar
• Boer, E. R., and M. Hoedemaeker. 1998. “Modeling Driver Behavior with Different Degrees of Automation: A Hierarchical Decision Framework of Interacting Mental Models.” Proceedings of the 17th European Annual Conference on Human Decision Making and Manual Control, 63–72. Valenciennes, France.
   Google Scholar
• Booth, A., N. Reed, A. Kirkham, T. Philpott, J. Zhao, and R. Wood. 2009. “Complexity of Traffic Interactions: Improving Behavioural Intelligence In Driving Simulation Scenarios.” Complex Systems and Self-Organization Modelling, 201–209. Heidelberg, Germany: Springer.
   Google Scholar
• Camerer, C. F. 2011. Behavioral Game Theory: Experiments in Strategic Interaction. Princeton, New Jersey, UK: Princeton University Press.
   Google Scholar
• Cassidy, M. J., and J. Rudjanakanoknad. 2005. “Increasing the Capacity of an Isolated Merge by Metering its On-Ramp.” Transportation Research Part B: Methodological 39 (10): 896–913.
   Web of Science ®Google Scholar
• Chatterjee, I., and G. Davis. 2013. “Evolutionary Game Theoretic Approach to Rear-End Events on Congested Freeway.” Transportation Research Record: Journal of the Transportation Research Board2386: 121–127.
   Web of Science ®Google Scholar
• Chevallier, E., and L. Leclercq. 2009. “Do Microscopic Merging Models Reproduce the Observed Priority Sharing Ratio in Congestion?” Transportation Research Part C: Emerging Technologies 17 (3): 328–336.
   Web of Science ®Google Scholar
• Choudhury, C. F., M. E. Ben-Akiva, T. Toledo, G. Lee, and A. Rao. 2007. “Modeling Cooperative Lane Changing and Forced Merging Behavior.” 86th Annual Meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Chovan, J. D. 1994. Examination of Lane Change Crashes and Potential IVHS Countermeasures. Washington, D.C., USA: National Highway Traffic Safety Administration.
   Google Scholar
• Cortés-Berrueco, L. E., C. Gershenson, and C. R. Stephens. 2016. “Traffic Games: Modeling Freeway Traffic with Game Theory.” PLoS One 11 (11): e0165381.
   PubMed Web of Science ®Google Scholar
• Daganzo, C. F. 1981. “Estimation of Gap Acceptance Parameters Within and Across the Population From Direct Roadside Observation.” Transportation Research Part B: Methodological 15 (1): 1–15.
   Web of Science ®Google Scholar
• Delpiano, R., J. Herrera M, and J. Coeymans A. 2015. “Characteristics of Lateral Vehicle Interaction.” Transportmetrica A: Transport Science 11 (7): 636–647.
   Web of Science ®Google Scholar
• Elvik, R. 2014. “A Review of Game-Theoretic Models of Road User Behaviour.” Accident Analysis & Prevention 62: 388–396.
   PubMed Web of Science ®Google Scholar
• Fudenberg, D., and D. Levine. 1983. “Subgame-Perfect Equilibria of Finite-and Infinite-Horizon Games.” Journal of Economic Theory 31 (2): 251–268.
   Web of Science ®Google Scholar
• Fudenberg, D., and J. Tirole. 1991. “Perfect Bayesian Equilibrium and Sequential Equilibrium.” journal of Economic Theory 53 (2): 236–260.
   Web of Science ®Google Scholar
• Gipps, P. G. 1986. “A Model for the Structure of Lane-Changing Decisions.” Transportation Research Part B: Methodological 20 (5): 403–414.
   Web of Science ®Google Scholar
• Harsanyi, J. C. 1967. “Games with Incomplete Information Played by “Bayesian” Players, I–III Part I. The Basic Model.” Management Science 14 (3): 159–182.
   Google Scholar
• Hidas, P. 2005. “Modelling Vehicle Interactions in Microscopic Simulation of Merging and Weaving.” Transportation Research Part C: Emerging Technologies 13 (1): 37–62.
   Web of Science ®Google Scholar
• Hunt, J., and G. Lyons. 1994. “Modelling Dual Carriageway Lane Changing Using Neural Networks.” Transportation Research Part C: Emerging Technologies 2 (4): 231–245.
   Google Scholar
• Iwamura, Y., and J. Tanimoto. 2018. “Complex Traffic Flow that Allows As Well As Hampers Lane-Changing Intrinsically Contains Social-Dilemma Structures.” Journal of Statistical Mechanics: Theory and Experiment 2018 (2): 023408.
   Web of Science ®Google Scholar
• Jin, C.-J., V. L. Knoop, D. Li, L.-Y. Meng, and H. Wang. 2019. “Discretionary Lane-Changing Behavior: Empirical Validation for One Realistic Rule-Based Model.” Transportmetrica A: Transport Science 15 (2): 244–262.
   Web of Science ®Google Scholar
• Kahneman, D., and A. Tversky. 2013. “Prospect Theory: An Analysis of Decision Under Risk.” Handbook of the Fundamentals of Financial Decision Making: Part I, 99–127. World Scientific.
   Google Scholar
• Keyvan-Ekbatani, M., V. L. Knoop, and W. Daamen. 2016. “Categorization of the Lane Change Decision Process on Freeways.” Transportation Research Part C: Emerging Technologies 69: 515–526.
   Web of Science ®Google Scholar
• Kita, H. 1993. “Effects of Merging Lane Length on The Merging Behavior at Expressway On-Ramps.” Transportation and Traffic Theory, 37–51. Berkeley, CA: International Symposium on the Theory of Traffic Flow and Transportation.
   Google Scholar
• Kita, H. 1999. “A Merging–Giveway Interaction Model of Cars in a Merging Section: A Game Theoretic Analysis.” Transportation Research Part A: Policy and Practice 33 (3–4): 305–312.
   Web of Science ®Google Scholar
• Kita, H., K. Tanimoto, and K. Fukuyama. 2002. “A Game Theoretic Analysis of Merging-Giveway Interaction: A Joint Estimation Model.” In Transportation and Traffic Theory in the 21st Century: Proceedings of the 15th International Symposium on Transportation and Traffic Theory, edited by M. A. P. Taylor, 503–518. Adelaide: Emerald Group Publishing Limited.
   Google Scholar
• Kita, H., K. Tanimoto, and K. Fukuyama. 2006. “An Inverse Analysis of Interactive Travel Behavior.” In Structural Change In Transportation and Communications In The Knowledge Society, edited by K. Kobayashi, T. Lakshmanan, and W. P. Anderson, 337–358. Northampton, MA: Edward Elgar Publishing Inc.
   Google Scholar
• Laval, J. A., and C. F. Daganzo. 2006. “Lane-Changing in Traffic Streams.” Transportation Research Part B: Methodological 40 (3): 251–264.
   Web of Science ®Google Scholar
• Liu, H. X., W. Xin, Z. Adam, and J. Ban. 2007. “A Game Theoretical Approach for Modelling Merging and Yielding Behaviour at Freeway On-Ramp Sections.” Transportation and Traffic Theory 3: 197–211.
   Google Scholar
• Mahmassani, H., and Y. Sheffi. 1981. “Using Gap Sequences to Estimate Gap Acceptance Functions.” Transportation Research Part B: Methodological 15 (3): 143–148.
   Web of Science ®Google Scholar
• Mauch, M., and M. J. Cassidy. 2002. “Freeway Traffic Oscillations: Observations and Predictions.” Transportation and Traffic Theory in the 21st Century: Proceedings of the 15th International Symposium on Transportation and Traffic Theory, Adelaide, Australia, July 16–18, 2002, 653–673. Emerald Group Publishing Limited.
   Google Scholar
• McDonald, M., J. Wu, and M. Brackstone. 1997. “Development of a Fuzzy Logic Based Microscopic Motorway Simulation Model.” IEEE Conference on Intelligent Transportation System, 1997. ITSC'97, 82–87. IEEE.
   Google Scholar
• Mishan, E.J., and E. Quah. 2007. Cost-Benefit Analysis. Oxford, UK: Routledge.
   Google Scholar
• Nash, J. 1951. “Non-Cooperative Games.” Annals of Mathematics 54 (2): 286–295.
   Web of Science ®Google Scholar
• Nelson, R. R. 2009. An Evolutionary Theory of Economic Change. Cambridge, Massachusetts, USA: Harvard University Press.
   Google Scholar
• Newbery, D. M. 1990. Pricing and Congestion: Economic Principles Relevant to Pricing Roads. Vol. 6, 22–38. Oxford, UK: Oxford University Press.
   Google Scholar
• Nisan, N., T. Roughgarden, E. Tardos, and V. V. Vazirani. 2007. Algorithmic Game Theory. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Nowak, M. A. 2006. “Five Rules for the Evolution of Cooperation.” Science 314 (5805): 1560–1563.
   PubMed Web of Science ®Google Scholar
• Pan, T., W. H. Lam, A. Sumalee, and R. Zhong. 2019. “Multiclass Multilane Model for Freeway Traffic Mixed with Connected Automated Vehicles and Regular Human-Piloted Vehicles.” Transportmetrica A: Transport Science 1–29. doi:10.1080/23249935.2019.1573858.
   Web of Science ®Google Scholar
• Patire, A. D., and M. J. Cassidy. 2011. “Lane Changing Patterns of Bane and Benefit: Observations of an Uphill Expressway.” Transportation Research Part B: Methodological 45 (4): 656–666.
   Web of Science ®Google Scholar
• Pedersen, P. A. 2001. “A Game Theoretical Approach to Road Safety.” Technical Report. Department of Economics Discussion Paper.
   Google Scholar
• Pei, Y., and H. Xu. 2006. “The Control Mechanism of Lane Changing in Jam Condition.” 2006 6th World Congress on Intelligent Control and Automation, 8655–8658. Vol. 2. IEEE.
   Google Scholar
• Peng, J. S., Y. S. Guo, and Y. M. Shao. 2013. “Lane Change Decision Analysis Based on Drivers' Perception-Judgment and Game Theory.” Applied Mechanics and Materials, 1875–1879. Vol. 361. Trans. Tech. Publ.
   Google Scholar
• Pontryagin, L. S. 1987. Mathematical Theory of Optimal Processes. London, UK: Gordon and Breach Science Publishers.
   Google Scholar
• Rahman, M., M. Chowdhury, Y. Xie, and Y. He. 2013. “Review of Microscopic Lane-Changing Models and Future Research Opportunities.” IEEE Transactions on Intelligent Transportation Systems 14 (4): 1942–1956.
   Web of Science ®Google Scholar
• Schönauer, R., M. Stubenschrott, W. Huang, C. Rudloff, and M. Fellendorf. 2012. “Modeling Concepts for Mixed Traffic: Steps Toward a Microscopic Simulation Tool for Shared Space Zones.” Transportation Research Record 2316 (1): 114–121.
   Web of Science ®Google Scholar
• Sharifzadeh, S., I. Chiotellis, R. Triebel, and D. Cremers. 2016. “Learning to Drive Using Inverse Reinforcement Learning and Deep q-Networks.” Preprint. arXiv:1612.03653.
   Google Scholar
• Shinar, D., and R. Compton. 2004. “Aggressive Driving: An Observational Study of Driver, Vehicle, and Situational Variables.” Accident Analysis & Prevention 36 (3): 429–437.
   PubMed Web of Science ®Google Scholar
• Small, K. A. 1999. Valuation of Travel-Time Savings and Predictability in Congested Conditions for Highway User-Cost Estimation. Vol. 431. Washington, DC, USA: Transportation Research Board.
   Google Scholar
• Smith, J. M. 1974. “The Theory of Games and the Evolution of Animal Conflicts.” Journal of Theoretical Biology 47 (1): 209–221.
   PubMed Web of Science ®Google Scholar
• Smith, J. M., and G. R. Price. 1973. “The Logic of Animal Conflict.” Nature 246 (5427): 15.
   Web of Science ®Google Scholar
• Steimetz, S. S. 2008. “Defensive Driving and the External Costs of Accidents and Travel Delays.” Transportation Research Part B: Methodological 42 (9): 703–724.
   Web of Science ®Google Scholar
• Suh, J., and H. Yeo. 2016. “An Empirical Study on the Traffic State Evolution and Stop-and-go Traffic Development on Freeways.” Transportmetrica A: Transport Science 12 (1): 80–97.
   Web of Science ®Google Scholar
• Sun, D. J., and L. Elefteriadou. 2011. “Lane-changing Behavior on Urban Streets: A Focus Group-based Study.” Applied Ergonomics 42 (5): 682–691.
   PubMed Web of Science ®Google Scholar
• Talebpour, A., H. S. Mahmassani, and S. H. Hamdar. 2015. “Modeling Lane-Changing Behavior in a Connected Environment: A Game Theory Approach.” Transportation Research Procedia 7: 420–440.
   Google Scholar
• Tanimoto, J. 2018. Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics. Vol. 17. Singapore: Springer Nature Singapore Pte Ltd..
   Google Scholar
• Tanimoto, J., and H. Sagara. 2007. “Relationship Between Dilemma Occurrence and the Existence of a Weakly Dominant Strategy in a Two-Player Symmetric Game.” BioSystems 90 (1): 105–114.
   PubMed Web of Science ®Google Scholar
• Toledo, T. 2007. “Driving Behaviour: Models and Challenges.” Transport Reviews 27 (1): 65–84.
   Web of Science ®Google Scholar
• Toledo, T., H. N. Koutsopoulos, and M. E. Ben-Akiva 2003. “Modeling Integrated Lane-Changing Behavior.” Transportation Research Record 1857 (1): 30–38.
   Google Scholar
• Vanlaar, W., H. Simpson, D. Mayhew, and R. Robertson. 2008. “Aggressive Driving: A Survey of Attitudes, Opinions and Behaviors.” Journal of Safety Research 39 (4): 375–381.
   PubMed Web of Science ®Google Scholar
• Von Neumann, J., and O. Morgenstern. 1944. Theory of Games and Economic Behavior. Princeton, New Jersey: Princeton University Press.
   Google Scholar
• Von Stackelberg, H. 1934. Market Structure and Equilibrium. Heidelberg, Germany: Springer.
   Google Scholar
• Wang, P., C.-Y. Chan, and A. de La Fortelle. 2018. “A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers.” 2018 IEEE Intelligent Vehicles Symposium (IV), 1379–1384. IEEE.
   Google Scholar
• Wang, M., S. P. Hoogendoorn, W. Daamen, B. van Arem, and R. Happee. 2015. “Game Theoretic Approach for Predictive Lane-Changing and Car-Following Control.” Transportation Research Part C: Emerging Technologies 58: 73–92.
   Web of Science ®Google Scholar
• Wardrop, J. G. 1952. “Some Theoretical Aspects of Road Traffic Research.” In Proceedings of the Institution of Civil Engineers, 325–378. London, UK.
   Google Scholar
• Webster, N. A., T. Suzuki, and M. Kuwahara. 2008. “Tactical Lane Change Model with Sequential Maneuver Planning.” Transportmetrica 4 (1): 63–78.
   Web of Science ®Google Scholar
• Wu, J., M. Brackstone, and M. McDonald. 2000. “Fuzzy Sets and Systems for a Motorway Microscopic Simulation Model.” Fuzzy Sets and Systems 116 (1): 65–76.
   Web of Science ®Google Scholar
• Wu, C., K. Parvate, N. Kheterpal, L. Dickstein, A. Mehta, E. Vinitsky, and A. M. Bayen. 2017. “Framework for Control and Deep Reinforcement Learning In Traffic.” 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 1–8. IEEE.
   Google Scholar
• Yang, Q., and H. N. Koutsopoulos. 1996. “A Microscopic Traffic Simulator for Evaluation of Dynamic Traffic Management Systems.” Transportation Research Part C: Emerging Technologies 4 (3): 113–129.
   Web of Science ®Google Scholar
• Yu, H., H. E. Tseng, and R. Langari. 2018. “A Human-Like Game Theory-Based Controller for Automatic Lane Changing.” Transportation Research Part C: Emerging Technologies 88: 140–158.
   Web of Science ®Google Scholar
• Zhang, H., Y. Su, L. Peng, and D. Yao. 2010. “A Review of Game Theory Applications In Transportation Analysis.” 2010 International Conference on Computer and Information Application, 152–157. IEEE.
   Google Scholar
• Zheng, Z. 2014. “Recent Developments and Research Needs in Modeling Lane Changing.” Transportation Research Part B: Methodological 60: 16–32.
   Web of Science ®Google Scholar
• Zhou, X., J. Wang, and Y. Zhu. 2018. “Simulation Research of Vehicle Lane-Changing Behavior Evolutionary Game Model Based on Netlogo.” DEStech Transactions on Engineering and Technology Research.
   Google Scholar
• Zimmermann, M., D. Schopf, N. Lütteken, Z. Liu, K. Storost, M. Baumann, R. Happee, and K. J. Bengler. 2018. “Carrot and Stick: A Game-Theoretic Approach to Motivate Cooperative Driving Through Social Interaction.” Transportation Research Part C: Emerging Technologies 88: 159–175.
   Web of Science ®Google Scholar