The Impact of Optimized Fleets in Transportation Networks

Published Online:https://doi.org/10.1287/trsc.2022.1189

References

  • Agrawal A, Verschueren R, Diamond S, Boyd S (2018) A rewriting system for convex optimization problems. J. Control Decisions 5(1):42–60.CrossrefGoogle Scholar
  • Alcántara AM (2021) Google Maps to add a greenest route to its driving directions. Wall Street Journal, Accessed April 23, 2021, https://www.wsj.com/articles/google-maps-to-add-a-greenest-route-to-its-driving-directions-11619197255.Google Scholar
  • Anderson M (2016) More Americans using smartphones for getting directions, streaming TV. https://www.pewresearch.org/fact-tank/2016/01/29/us-smartphone-use/.Google Scholar
  • Balding M, Whinery T, Leshner E, Womeldorff E (2019) Estimated percent of total driving by Lyft and Uber. Technical report, Fehr & Peers, Washington DC.Google Scholar
  • Beckmann M, McGuire CB, Winsten CB (1956) Studies in the Economics of Transportation (Yale University Press, New Haven, CT).Google Scholar
  • Boyles SD, Lownes NE, Unnikrishnan A (2021) Transportation Network Analysis, vol 1. https://sboyles.github.io/blubook.html.Google Scholar
  • Ceci L (2021) Most popular mapping apps in the United States as of April 2018, by reach. Technical report, Statista.Google Scholar
  • Chen Z, Lin X, Yin Y, Li M (2020) Path controlling of automated vehicles for system optimum on transportation networks with heterogeneous traffic stream. Transporation Res., Part C Emerging Tech. 110:312–329.CrossrefGoogle Scholar
  • Cominetti R, Correa JR, Stier-Moses NE (2009) The impact of oligopolistic competition in networks. Oper. Res. 57(6):1421–1437.LinkGoogle Scholar
  • Dafermos SC (1972) The traffic assignment problem for multiclass-user transportation networks. Transportation Sci. 6(1):73–87.LinkGoogle Scholar
  • Delle Site P (2021) Pricing of connected and autonomous vehicles in mixed-traffic networks. Transporation Res. Rec. 2675(5):178–192.CrossrefGoogle Scholar
  • Diamond S, Boyd S (2016) CVXPY: A Python-embedded modeling language for convex optimization. J. Machine Learn. Res. 17(83):1–5.Google Scholar
  • Erhardt GD, Roy S, Cooper D, Sana B, Chen M, Castiglione J (2019) Do transportation network companies decrease or increase congestion? Sci. Advice 5(5):eaau2670.CrossrefGoogle Scholar
  • Fagnant DJ, Kockelman KM (2014) The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transporation Res., Part C Emerging Tech. 40:1–13.CrossrefGoogle Scholar
  • Hall JD, Palsson C, Price J (2018) Is Uber a substitute or complement for public transit? J. Urban Econom. 108:36–50.CrossrefGoogle Scholar
  • Harker PT (1988) Multiple equilibrium behaviors on networks. Transportation Sci. 22(1):39–46.LinkGoogle Scholar
  • Hestenes MR (1969) Multiplier and gradient methods. J. Optim. Theory Appl. 4(5):303–320.CrossrefGoogle Scholar
  • Lau J (2020) Google Maps 101: How AI helps predict traffic and determine routes. https://blog.google/products/maps/google-maps-101-how-ai-helps-predict-traffic-and-determine-routes/.Google Scholar
  • Lou Y, Caruana R, Gehrke J, Hooker G (2013) Accurate intelligible models with pairwise interactions. Proc. 19th ACM SIGKDD Internat. Conf. on Knowledge Discovery and Data Mining (ACM, New York), 623–631.Google Scholar
  • Mansourianfar MH, Gu Z, Waller ST, Saberi M (2021) Joint routing and pricing control in congested mixed autonomy networks. Transporation Res., Part C Emerging Tech. 131:103338.CrossrefGoogle Scholar
  • Mehr N, Horowitz R (2019) How will the presence of autonomous vehicles affect the equilibrium state of traffic networks? IEEE Trans. Control Network Systems 7(1):96–105.CrossrefGoogle Scholar
  • Nori H, Jenkins S, Koch P, Caruana R (2019) InterpretML: A unified framework for machine learning interpretability. Preprint, submitted September 19, https://arxiv.org/abs/1909.09223.Google Scholar
  • O’Dea S (2020) Smartphone penetration rate as share of the population in the United States from 2010 to 2021. Technical report, Statista.Google Scholar
  • Roughgarden T (2005) Selfish Routing and the Price of Anarchy (MIT Press, Cambridge, MA).Google Scholar
  • Sharon G, Albert M, Rambha T, Boyles S, Stone P (2018) Traffic optimization for a mixture of self-interested and compliant agents. Proc. 32nd AAAI Conf. on Artificial Intelligence.Google Scholar
  • Sheffi Y (1985) Urban Transportation Networks, vol. 6. (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Stabler B, Bar-Gera H, Sall E (2021) Transportation networks for research. Accessed November 10, 2021, https://github.com/bstabler/TransportationNetworks.Google Scholar
  • Tobin RL, Friesz TL (1988) Sensitivity analysis for equilibrium network flow. Transportation Sci. 22(4):242–250.LinkGoogle Scholar
  • Uber Technologies (2022) How does Uber match riders with drivers? https://www.uber.com/us/en/marketplace/matching/.Google Scholar
  • Wang J, Zheng Y, Xu Q, Wang J, Li K (2020) Controllability analysis and optimal control of mixed traffic flow with human-driven and autonomous vehicles. IEEE Trans. Intelligent Transportation Systems. 22(12):7445–7459.Google Scholar
  • Ward JW, Michalek JJ, Azevedo IL, Samaras C, Ferreira P (2019) Effects of on-demand ridesourcing on vehicle ownership, fuel consumption, vehicle miles traveled, and emissions per capita in US states. Transporation Res., Part C Emerging Tech. 108:289–301.CrossrefGoogle Scholar
  • Wardrop JG (1952) Some theoretical aspects of road traffic research. Proc. Inst. Civil Engrg. 1(3):325–362.CrossrefGoogle Scholar
  • Wright S, Nocedal J, Wright SJ (1999) Numerical optimization. Springer Sci. 35(67–68):7.Google Scholar
  • Yang H, Zhang X, Meng Q (2007) Stackelberg games and multiple equilibrium behaviors on networks. Transportation Res. Part B: Methodological 41(8):841–861.CrossrefGoogle Scholar
  • Zhang K, Nie YM (2018) Mitigating the impact of selfish routing: An optimal-ratio control scheme (ORCS) inspired by autonomous driving. Transporation Res., Part C Emerging Tech. 87:75–90.CrossrefGoogle Scholar
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