Intersection Auctions and Reservation-Based Control in Dynamic Traffic Assignment

Abstract

Autonomous vehicle (AV) technology is maturing, and AVs are being test-driven on public roads. A promising intersection control policy, tile-based reservation (TBR), proposed by Dresner and Stone in 2004, could improve intersection capacity beyond the capabilities of optimized traffic signals. Although TBR has been studied in several microsimulation models, it has yet to be analyzed under user equilibrium behavior. In this study, TBR was modeled in the dynamic traffic assignment to draw on the extensive literature on vehicle routing behaviors. With the proposed model, TBR can be computationally simulated on large city networks, with the goal of solving the traffic assignment problem. TBR also arbitrarily prioritizes vehicle movement, and high-value-of-time travelers may be able to gain priority through intersection auctions, as suggested by the literature. An in-depth study of simple intersection auctions found that much of the benefit (over first-come, first-served prioritization) resulted from the randomizing effect of auctions giving larger queues of vehicles greater shares of the intersection capacity.

A multiclass cell transmission model for shared human and autonomous vehicle roads

“…The link capacity assumptions lead to the triangular fundamental diagram assumed by Newell (1993) and Yperman et al (2005). To facilitate shared intersections, the conflict region (CR) algorithm from Levin & Boyles (2015b) for general SBDTA models is modified using Bento et al (2013)s control policy. Intersection efficiency scales dynamically with the proportion of AVs using the intersection.…”

A cell transmission model for dynamic lane reversal with autonomous vehicles

“…CTM was used with a time step of 6 seconds and an AST duration of 15 minutes. DLR was implemented on all pairs of parallel [31] for DTA with first-come-first-serve priority was used for intersections. The demand is completely deterministic.…”

Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

“…As noted above, the connectedness of AVs has been investigated in signal control policies which resulted in significant reductions in delay [46][47][48]. Other studies tend to extend the reach of the existing dynamic traffic assignment models to somehow include AVs [71,74,75]. Despite current computational technologies and current modeling knowledge, the scale of micro-simulation is limited to a portion of a city and not the entire city.…”