Pricing Traffic Networks with Mixed Vehicle Autonomy
Pricing Traffic Networks with Mixed Vehicle Autonomy
复制标题
混合车辆自主定价交通网络
DOI:
10.23919/acc.2019.8814392
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
R. Horowitz
中科院分区:
文献类型:
--
作者:
Negar Mehr;R. Horowitz
In a traffic network, vehicles normally select their routes selfishly. Consequently, traffic networks normally operate at an equilibrium characterized by Wardrop conditions. However, it is well known that equilibria are inefficient in general. In addition to the intrinsic inefficiency of equilibria, the authors recently showed that, in mixed-autonomy networks in which autonomous vehicles maintain a shorter headway than human-driven cars, increasing the fraction of autonomous vehicles in the network may increase the inefficiency of equilibria. In this work, we study the possibility of obviating the inefficiency of equilibria in mixed-autonomy traffic networks via pricing mechanisms. In particular, we study assigning prices to network links such that the overall or social delay of the resulting equilibria is minimum. First, we study the possibility of inducing such optimal equilibria by imposing a set of undifferentiated prices, i.e. a set of prices that treat both human-driven and autonomous vehicles similarly at each link. We provide an example which demonstrates that undifferentiated pricing is not sufficient for achieving minimum social delay. Then, we study differentiated pricing where the price of traversing each link may depend on whether vehicles are human-driven or autonomous. Under differentiated pricing, we prove that link prices obtained from the marginal cost taxation of links will induce equilibria with minimum social delay if the degree of road capacity asymmetry (i.e. the ratio between the road capacity when all vehicles are human-driven and the road capacity when all vehicles are autonomous) is homogeneous among network links.
DOI:
10.1016/j.trc.2018.02.005
发表时间:
2018-04-01
影响因子:
8.3
作者:
Stern, Raphael E.;Cui, Shumo;Work, Daniel B.
通讯作者:
Work, Daniel B.
DOI:
10.23919/acc.2018.8431087
发表时间:
2017-10
期刊:
2018 Annual American Control Conference (ACC)
影响因子:
--
作者:
Daniel A. Lazar;S. Coogan;Ramtin Pedarsani
通讯作者:
Daniel A. Lazar;S. Coogan;Ramtin Pedarsani