Model-Based Dynamic Toll Pricing: An Overview

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, presen...

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Main Authors: Lombardi, Claudio, Picado-Santos, Luís, Annaswamy, Anuradha M.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2022
Online Access:https://hdl.handle.net/1721.1/133185.2
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author Lombardi, Claudio
Picado-Santos, Luís
Annaswamy, Anuradha M.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Lombardi, Claudio
Picado-Santos, Luís
Annaswamy, Anuradha M.
author_sort Lombardi, Claudio
collection MIT
description 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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spelling mit-1721.1/133185.22024-02-26T21:52:18Z Model-Based Dynamic Toll Pricing: An Overview Lombardi, Claudio Picado-Santos, Luís Annaswamy, Anuradha M. Massachusetts Institute of Technology. Department of Mechanical Engineering 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. 2022-01-21T16:29:35Z 2021-10-27T17:50:17Z 2022-01-21T16:29:35Z 2021-05 2021-05 2021-05-24T15:07:27Z Article http://purl.org/eprint/type/JournalArticle 2076-3417 https://hdl.handle.net/1721.1/133185.2 Applied Sciences 11 (11): 4778 (2021) http://dx.doi.org/10.3390/app11114778 Applied Sciences Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/octet-stream Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute
spellingShingle Lombardi, Claudio
Picado-Santos, Luís
Annaswamy, Anuradha M.
Model-Based Dynamic Toll Pricing: An Overview
title Model-Based Dynamic Toll Pricing: An Overview
title_full Model-Based Dynamic Toll Pricing: An Overview
title_fullStr Model-Based Dynamic Toll Pricing: An Overview
title_full_unstemmed Model-Based Dynamic Toll Pricing: An Overview
title_short Model-Based Dynamic Toll Pricing: An Overview
title_sort model based dynamic toll pricing an overview
url https://hdl.handle.net/1721.1/133185.2
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