A Control Theoretic Approach to Simultaneously Estimate Average Value of Time and Determine Dynamic Price for High-Occupancy Toll Lanes

2020 ◽  
pp. 1-13
Author(s):  
Xuting Wang ◽  
Wen-Long Jin ◽  
Yafeng Yin
Keyword(s):  
Value Of Time ◽  
Theoretic Approach ◽  
Average Value ◽  
Dynamic Price ◽  
Toll Lanes ◽  
High Occupancy Toll Lanes ◽  
High Occupancy Toll

Effect of High-Occupancy Toll Lanes on Mass Vehicle Emissions

2009 ◽  
Vol 2123 (1) ◽  
pp. 88-96 ◽  
Author(s):  
David N. Kall ◽  
Randall L. Guensler ◽  
Michael O. Rodgers ◽  
Vishal S. Pandey
Keyword(s):  
Vehicle Emissions ◽  
Toll Lanes ◽  
High Occupancy Toll Lanes ◽  
High Occupancy Toll

scholarly journals Choice of High Occupancy/Toll Lanes under Alternative Pricing Strategies

2018 ◽  
Vol 2672 (5) ◽  
pp. 12-22
Author(s):  
Michael Janson ◽  
David Levinson
Keyword(s):  
Potential Effect ◽  
Time Of Day ◽  
General Purpose ◽  
Equilibrium Analysis ◽  
Demand Elasticity ◽  
Pricing Strategies ◽  
Toll Lanes ◽  
Hot Lanes ◽  
High Occupancy Toll Lanes ◽  
High Occupancy Toll

High occupancy/toll (HOT) lanes typically vary tolls charged to single occupant vehicles, with the toll increasing during congested periods. The toll is usually tied to time of day or to the density of vehicles in the HOT lane. The purpose of raising the toll with congestion is to discourage demand sufficiently to maintain travel speeds in the HOT lane. However, it has been demonstrated that the HOT toll may act as a signal of downstream congestion (in both general purpose (GP) and HOT lanes), causing an increase in demand for the HOT lane, at least at lower prices. This paper develops a model of lane choice to evaluate alternative HOT lane pricing strategies, including the use of GP density, to more accurately reflect the value of the HOT lane. In addition, the paper explores the potential effect these strategies would have on the HOT lane vehicle share through a partial equilibrium analysis. This analysis demonstrates the change in demand elasticity with price, showing the point at which drivers switch from a positive to negative elasticity.

Ridesharing User Equilibrium and Its Implications for High-Occupancy Toll Lane Pricing

2017 ◽  
Vol 2667 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Xuan Di ◽  
Henry X. Liu ◽  
Xuegang (Jeff) Ban ◽  
Hai Yang
Keyword(s):  
Traffic Congestion ◽  
Planning Process ◽  
Nonlinear Complementarity Problem ◽  
User Equilibrium ◽  
Travel Costs ◽  
Important Research Topic ◽  
Toll Lanes ◽  
Path Cost ◽  
High Occupancy Toll Lanes ◽  
High Occupancy Toll

Shared mobility—ridesharing in particular—has become an important research topic in recent years because of the ability to relieve traffic congestion, reduce travel costs, and reduce energy consumption. However, researchers in transportation science still lack an understanding of how to incorporate ridesharing into the transportation planning process, specifically in the traffic assignment problem. This paper presents ridesharing user equilibrium (RUE) as a path-flow–based nonlinear complementarity problem with side constraints. This formulation is extended by considering the presence of high-occupancy toll lanes. A numerical example is given to illustrate the relationships of the path cost coefficients on RUE and on the occurrence of the Braess paradox. The performance of two tolling strategies is compared: one charges single-occupancy vehicles, and the other charges both single-occupancy vehicles and vehicles carrying only one passenger.

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