Journal ArticleDOI
Network-wide adaptive tolling for connected and automated vehicles
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TLDR
The flexibility of this tolling scheme is demonstrated in three specific traffic modeling contexts with varying traffic flow and user behavior assumptions: a day-to-day pricing model using static network equilibrium with link delay functions; a within-day adaptive Pricing model using the cell transmission model and dynamic routing of vehicles; and a microsimulation of reservation-based intersection control for connected and autonomous vehicles with myopic routing.Abstract:
This article proposes Δ-tolling, a simple adaptive pricing scheme which only requires travel time observations and two tuning parameters. These tolls are applied throughout a road network, and can be updated as frequently as travel time observations are made. Notably, Δ-tolling does not require any details of the traffic flow or travel demand models other than travel time observations, rendering it easy to apply in real-time. The flexibility of this tolling scheme is demonstrated in three specific traffic modeling contexts with varying traffic flow and user behavior assumptions: a day-to-day pricing model using static network equilibrium with link delay functions; a within-day adaptive pricing model using the cell transmission model and dynamic routing of vehicles; and a microsimulation of reservation-based intersection control for connected and autonomous vehicles with myopic routing. In all cases, Δ-tolling produces significant benefits over the no-toll case, measured in terms of average travel time and social welfare, while only requiring two parameters to be tuned. Some optimality results are also given for the special case of the static network equilibrium model with BPR-style delay functions.read more
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Journal ArticleDOI
Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios
TL;DR: In this paper, the authors developed multiple congestion pricing and tolling strategies in alternative future scenarios, and investigated their effects on the Austin, Texas network conditions and traveler welfare, using the agent-based simulation model MATSim.
Posted Content
Congestion Pricing in a World of Self-driving vehicles: an Analysis of Different Strategies in Alternative Future Scenarios
TL;DR: Results suggest that, while all pricing strategies reduce congestion, their social welfare impacts differ in meaningful ways, and more complex and advanced strategies perform better in terms of traffic conditions and traveler welfare, depending on the development of the mobility landscape of autonomous driving.
Journal ArticleDOI
Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks
TL;DR: A cooperative autonomous traffic organization method for CAVs in multi-intersection road networks that proposes a multi-objective optimal control model by jointly considering vehicle safety, energy conservation, and ride comfort, and analytically derive a closed-form solution for optimizing the CAVs’ trajectories to adapt dynamic traffic demand.
Journal ArticleDOI
Optimal traffic management policies for mixed human and automated traffic flows
Sina Bahrami,Matthew J. Roorda +1 more
TL;DR: It is shown that simple policies such as AV exclusive links can improve network performance in mixed traffic of AVs and human-driven vehicles and that management policies can decrease the gap between user equilibrium and system optimal to less than 1%.
References
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Book
The Economics of Welfare
TL;DR: Aslanbeigui et al. as mentioned in this paper discussed the relationship between the national dividend and economic and total welfare, and the size of the dividend to the allocation of resources in the economy and the institutional structure governing labor market operations.
Journal Article
On kinetic waves, II . A theory of traffic flow on long crowded roads
M J Lighthill,G B Whitham +1 more
TL;DR: In this paper, a functional relationship between flow and concentration for traffic on crowded arterial roads has been postulated for some time, and has experimental backing, from which a theory of the propagation of changes in traffic distribution along these roads may be deduced.
Journal ArticleDOI
On kinematic waves II. A theory of traffic flow on long crowded roads
TL;DR: The theory of kinematic waves is applied to the problem of estimating how a ‘hump’, or region of increased concentration, will move along a crowded main road, and is applicable principally to traffic behaviour over a long stretch of road.
Journal ArticleDOI
Shock Waves on the Highway
TL;DR: In this article, a simple theory of traffic flow is developed by replacing individual vehicles with a continuous fluid density and applying an empirical relation between speed and density, which is a simple graph-shearing process for following the development of traffic waves.
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