Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity

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Policy and society related implications of automated driving: A review of literature and directions for future research (2017, background): “Van den Berg and Verhoef (2016) showed that automated vehicles could have both positive and negative externalities through increases in capacity and parallel decreases in the value of time, although net positive externalities seem more likely according to their analysis.”
Discussing the “positive utilities” of autonomous vehicles: will travellers really use their time productively? (2019, background): “…level AVs); 90–50% of car driver VOT (for higher level AVs) Kim, Rousseau, Freedman, and Nicholson (2015) Atlanta, GA 50% of car driver VOT van den Berg and Verhoef (2016) United States, the Netherlands 100–61% of car driver VOT LaMondia, Fagnant, Qu, Barrett, and Kockelman (2016) Michigan 75%…”
A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method (2017, background): “Results from both simulation ( Kesting et al., 2008; Shladover et al., 2012; Arnaout and Arnaout, 2014; Ntousakis et al., 2015 ) and analytical modeling ( Levin and Boyles, 2015; van den Berg and Verhoef, 2016 ) show that highway capacity increases signiﬁcantly with market penetration rate.”