Stable dynamic pricing scheme independent of lane-choice models for high-occupancy-toll lanes

Jin, Wen-Long; Wang, Xuting; Lou, Yingyan

doi:10.1016/j.trb.2020.07.008

Cited by 15 publications

(9 citation statements)

References 14 publications

(35 reference statements)

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“…Two operational objectives are identified for HOT lanes in [49]: (i) to keep free-flow conditions to ensure travel time reliability; and (ii) to maximize the tolled lanes' throughput in order to minimize the system's total delay. The most relevant methods for dynamic toll price definition explored in literature that we present in the remainder of this section are usually built to pursue one of these two objectives or a combination of both.…”

Section: Overview Of Dynamic Toll Price Definition Methodsmentioning

confidence: 99%

“…In some studies, where the considered situation is analyzed as a bottleneck, traffic modeling is limited to a delay operator: in [13,49] traffic dynamics are described through the point-queue concept [103], assuming that the average travel time is given by the sum of a congestion-independent cruise time and a queuing delay. In [45] delays derive from the comparison between arrivals and departures curves, and a similar approach is followed in [57].…”

Section: Traffic Simulationmentioning

confidence: 99%

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Model-Based Dynamic Toll Pricing: An Overview

2021

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In this paper, we review some of the most recent research regarding design, simulation, implementation and evaluation of dynamic tolling schemes. Analyzing the structure of the reviewed studies, we identify the common elements and the differences in the approaches chosen by different authors, presenting an overview of the methods for price definition and of the simulation techniques as well as a discussion on the newest technology applications in the field. Optimization revealed to be the dominant price definition method, while control-based algorithms are notably employed for managed lanes toll pricing schemes. Regarding traffic and driver behavior simulation we observed a great variety of solutions throughout the reviewed papers, with a prevalence of macroscopic models for the former and logit models for the latter. Still few papers include models for externalities quantification, while AI paradigms are gaining importance in the field.

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Section: Overview Of Dynamic Toll Price Definition Methodsmentioning

confidence: 99%

Section: Traffic Simulationmentioning

confidence: 99%

Model-Based Dynamic Toll Pricing: An Overview

2021

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“…Similarly, Zhang et al [ 30 ] proposed a self-adaptive pricing approach that seeks to maintain reliable travel time on ELs, especially when GP lanes are congested. In a more complex effort than works in [ 23 , 29 ], Jin et al [ 31 ] developed a pricing scheme to accommodate different types of lane-choice models.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Alshayeb

Stevanovic

Mitrović³

et al. 2021

Sensors

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Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular volumes and speeds derived from the data collected by sensors installed along the ELs. Thus, the operation of dynamic pricing critically depends on the accuracy of data collected by such traffic sensors. However, no previous research has been conducted to explicitly investigate the impact of sensor failures and erroneous sensors’ data on toll computations. This research fills this gap by examining the effects of sensor failure and faulty detection scenarios on ELs tolls calculated by a dynamic pricing algorithm. The paper’s methodology relies on applying the dynamic toll pricing algorithm implemented in the field and utilizing the fundamental speed-volume relationship to ‘simulate’ the sensors’ reported data. We implemented the methodology in a case study of ELs on Interstate-95 in Southeast Florida. The results have shown that the tolls increase when sensors erroneously report higher than actual traffic demand. Moreover, it has been found that the accuracy of individual sensors and the number of sensors utilized to estimate traffic conditions are critical for accurate toll calculations.

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“…For example, if the VOTs follow the simplified variant of the Burr distribution ( 35 , 42 ), the proportion of commuters choosing the urban network at t is…”

Section: System Dynamicsmentioning

confidence: 99%

“…Two popular operation objectives are explored: performance-optimization and revenue-maximization. The performance-optimization is realized by a feedback control approach, which is similar to ( 34 , 35 ). The controllers do not directly determine the price, but estimate coefficients in the price model.…”

mentioning

confidence: 99%

Cordon-Based Pricing Schemes for Mixed Urban-Freeway Networks using Macroscopic Fundamental Diagrams

Wang

Gayah

2021

Transportation Research Record: Journal of the Transportation R

Self Cite

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The development of traffic models based on macroscopic fundamental diagrams (MFD) enables many real-time control strategies for urban networks, including cordon-based pricing schemes. However, most existing MFD-based pricing strategies are designed only to optimize the traffic-related performance, without considering the revenue collected by operators. In this study, we investigate cordon-based pricing schemes for mixed networks with urban networks and freeways. In this system, heterogeneous commuters choose their routes based on the user equilibrium principle. There are two types of operational objective for operating urban networks: (1) to optimize the urban network’s performance, that is, to maximize the outflux; and (2) to maximize the revenue for operators. To compare those two objectives, we first apply feedback control to design pricing schemes to optimize the urban network’s performance. Then, we formulate an optimal control problem to obtain the revenue-maximization pricing scheme. With numerical examples, we illustrate the difference between those pricing schemes.

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Stable dynamic pricing scheme independent of lane-choice models for high-occupancy-toll lanes

Cited by 15 publications

References 14 publications

Model-Based Dynamic Toll Pricing: An Overview

Model-Based Dynamic Toll Pricing: An Overview

Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Cordon-Based Pricing Schemes for Mixed Urban-Freeway Networks using Macroscopic Fundamental Diagrams

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