Integrated dual toll pricing with network design for hazardous materials transportation

Sara Masoud, Sojung Kim, Young-Jun Son

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this paper is to propose an effective traffic control policy for hazardous materials (hazmat) vehicles to enhance public safety with minimal sacrifice in terms of traffic efficiency, by managing traffic flows in tollways and freeways together. To devise such a policy, a two-stage simulation-based optimization approach is proposed considering two different policies simultaneously: 1) Network Design (ND) which restricts hazmat transportation from freeways in densely populated areas; and 2) Dual Toll Pricing (DTP) which levies toll on hazmat vehicles as well as regular vehicles in tollways. Besides, an Agent-Based Simulation (ABS) technique is adopted in the proposed approach to evaluate the suggested policy under realistic traffic conditions on a highway. The proposed two-stage approach allows us to reduce a large search space involved in the considered optimization: the first stage categorizes freeways into two classes (i.e., restricted and unrestricted roads) via ND to reduce road risk caused by accidents of hazmat vehicles, and the second stage executes DTP to minimize the total traveling cost of both regular and hazmat vehicles. The proposed approach has been implemented in AnyLogic® ABS software with a real traffic data of San Antonio, Texas. In addition, Particle Swarm Optimization (PSO) has been used to find the optimum ND and DTP policies under the AnyLogic® ABS model. The experimental results reveal that the proposed simulation-based optimization approach is able to efficiently reduce the risk of hazmat transportation regarding both tollways and freeways.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Pages2556-2565
Number of pages10
ISBN (Electronic)9780983762447
StatePublished - 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Other

OtherIIE Annual Conference and Expo 2015
CountryUnited States
CityNashville
Period5/30/156/2/15

Fingerprint

Hazardous materials
Highway systems
Costs
Traffic control
Particle swarm optimization (PSO)
Accidents

Keywords

  • Agent-based simulation (ABS)
  • Dual toll pricing (DTP)
  • Hazardous materials transportation
  • Network design (ND)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Masoud, S., Kim, S., & Son, Y-J. (2015). Integrated dual toll pricing with network design for hazardous materials transportation. In IIE Annual Conference and Expo 2015 (pp. 2556-2565). Institute of Industrial Engineers.

Integrated dual toll pricing with network design for hazardous materials transportation. / Masoud, Sara; Kim, Sojung; Son, Young-Jun.

IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, 2015. p. 2556-2565.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masoud, S, Kim, S & Son, Y-J 2015, Integrated dual toll pricing with network design for hazardous materials transportation. in IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, pp. 2556-2565, IIE Annual Conference and Expo 2015, Nashville, United States, 5/30/15.
Masoud S, Kim S, Son Y-J. Integrated dual toll pricing with network design for hazardous materials transportation. In IIE Annual Conference and Expo 2015. Institute of Industrial Engineers. 2015. p. 2556-2565
Masoud, Sara ; Kim, Sojung ; Son, Young-Jun. / Integrated dual toll pricing with network design for hazardous materials transportation. IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, 2015. pp. 2556-2565
@inproceedings{e8b70e5001714a459a21693b39e24f70,
title = "Integrated dual toll pricing with network design for hazardous materials transportation",
abstract = "The goal of this paper is to propose an effective traffic control policy for hazardous materials (hazmat) vehicles to enhance public safety with minimal sacrifice in terms of traffic efficiency, by managing traffic flows in tollways and freeways together. To devise such a policy, a two-stage simulation-based optimization approach is proposed considering two different policies simultaneously: 1) Network Design (ND) which restricts hazmat transportation from freeways in densely populated areas; and 2) Dual Toll Pricing (DTP) which levies toll on hazmat vehicles as well as regular vehicles in tollways. Besides, an Agent-Based Simulation (ABS) technique is adopted in the proposed approach to evaluate the suggested policy under realistic traffic conditions on a highway. The proposed two-stage approach allows us to reduce a large search space involved in the considered optimization: the first stage categorizes freeways into two classes (i.e., restricted and unrestricted roads) via ND to reduce road risk caused by accidents of hazmat vehicles, and the second stage executes DTP to minimize the total traveling cost of both regular and hazmat vehicles. The proposed approach has been implemented in AnyLogic{\circledR} ABS software with a real traffic data of San Antonio, Texas. In addition, Particle Swarm Optimization (PSO) has been used to find the optimum ND and DTP policies under the AnyLogic{\circledR} ABS model. The experimental results reveal that the proposed simulation-based optimization approach is able to efficiently reduce the risk of hazmat transportation regarding both tollways and freeways.",
keywords = "Agent-based simulation (ABS), Dual toll pricing (DTP), Hazardous materials transportation, Network design (ND)",
author = "Sara Masoud and Sojung Kim and Young-Jun Son",
year = "2015",
language = "English (US)",
pages = "2556--2565",
booktitle = "IIE Annual Conference and Expo 2015",
publisher = "Institute of Industrial Engineers",

}

TY - GEN

T1 - Integrated dual toll pricing with network design for hazardous materials transportation

AU - Masoud, Sara

AU - Kim, Sojung

AU - Son, Young-Jun

PY - 2015

Y1 - 2015

N2 - The goal of this paper is to propose an effective traffic control policy for hazardous materials (hazmat) vehicles to enhance public safety with minimal sacrifice in terms of traffic efficiency, by managing traffic flows in tollways and freeways together. To devise such a policy, a two-stage simulation-based optimization approach is proposed considering two different policies simultaneously: 1) Network Design (ND) which restricts hazmat transportation from freeways in densely populated areas; and 2) Dual Toll Pricing (DTP) which levies toll on hazmat vehicles as well as regular vehicles in tollways. Besides, an Agent-Based Simulation (ABS) technique is adopted in the proposed approach to evaluate the suggested policy under realistic traffic conditions on a highway. The proposed two-stage approach allows us to reduce a large search space involved in the considered optimization: the first stage categorizes freeways into two classes (i.e., restricted and unrestricted roads) via ND to reduce road risk caused by accidents of hazmat vehicles, and the second stage executes DTP to minimize the total traveling cost of both regular and hazmat vehicles. The proposed approach has been implemented in AnyLogic® ABS software with a real traffic data of San Antonio, Texas. In addition, Particle Swarm Optimization (PSO) has been used to find the optimum ND and DTP policies under the AnyLogic® ABS model. The experimental results reveal that the proposed simulation-based optimization approach is able to efficiently reduce the risk of hazmat transportation regarding both tollways and freeways.

AB - The goal of this paper is to propose an effective traffic control policy for hazardous materials (hazmat) vehicles to enhance public safety with minimal sacrifice in terms of traffic efficiency, by managing traffic flows in tollways and freeways together. To devise such a policy, a two-stage simulation-based optimization approach is proposed considering two different policies simultaneously: 1) Network Design (ND) which restricts hazmat transportation from freeways in densely populated areas; and 2) Dual Toll Pricing (DTP) which levies toll on hazmat vehicles as well as regular vehicles in tollways. Besides, an Agent-Based Simulation (ABS) technique is adopted in the proposed approach to evaluate the suggested policy under realistic traffic conditions on a highway. The proposed two-stage approach allows us to reduce a large search space involved in the considered optimization: the first stage categorizes freeways into two classes (i.e., restricted and unrestricted roads) via ND to reduce road risk caused by accidents of hazmat vehicles, and the second stage executes DTP to minimize the total traveling cost of both regular and hazmat vehicles. The proposed approach has been implemented in AnyLogic® ABS software with a real traffic data of San Antonio, Texas. In addition, Particle Swarm Optimization (PSO) has been used to find the optimum ND and DTP policies under the AnyLogic® ABS model. The experimental results reveal that the proposed simulation-based optimization approach is able to efficiently reduce the risk of hazmat transportation regarding both tollways and freeways.

KW - Agent-based simulation (ABS)

KW - Dual toll pricing (DTP)

KW - Hazardous materials transportation

KW - Network design (ND)

UR - http://www.scopus.com/inward/record.url?scp=84971013947&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84971013947&partnerID=8YFLogxK

M3 - Conference contribution

SP - 2556

EP - 2565

BT - IIE Annual Conference and Expo 2015

PB - Institute of Industrial Engineers

ER -