Changhyun Kwon Quarterly

a working paper series in operations research

The CK Quarterly introduces working papers from Dr. Changhyun Kwon and STOM Lab in each season, four times a year. Issues will cover various topics in operations research, optimization, transportation systems, and service operations. This series started in Winter 2014. Dr. Kwon is currently an associate professor in the Department of Industrial and Management Systems Engineering at the University of South Florida.

계간 권창현 | 季刊 權昶賢

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The web page design was adopted from git - the simple guide. This quarterly project is inspired by a Korean musician Yoon Jong Shin for his Monthly Project.

CK Quarterly – Fall 2016

Generalized Bounded Rationality and Robust Multi-Commodity Network Design

with Longsheng Sun and Mark Karwan

Optimizing under imprecise perception is equivalent to satisficing under precise perception.

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CK Quarterly – Summer 2016

Julia Programming for Operations Research: A Primer on Computing

Julia is a computer language for scientific computing. This book introduces Julia programming for common tasks in operations research. This book is mainly targetted to first-year graduate students in operations research and related fields, but will also be suitable for advanced undergraduate students and practitioners.

Online Book Link

CK Quarterly – Spring 2016

Multi-Period Capacitated Recharging Location Planning for Electric Vehicles

with Anpeng Zhang and Jee Eun Kang

Where to locate recharging stations for electirc vehicles, in what order?

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CK Quarterly – Winter 2015

Impact of Dual-Toll Pricing in Hazmat Transportation considering Stochastic Driver Preferences

with Tolou Esfandeh, Masoumeh Taslimi, and Rajan Batta

When drivers' preferences over tolls and time are probabilistic, how should we charge tolls for regulating both hazmat truck drivers and other regular drivers to mitigate the risk from hazmat accidents?

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CK Quarterly – Fall 2015

Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

with Longsheng Sun and Mark Karwan

When we design road networks, we need to predict drivers' new behavior. How should we model such prediction? This paper provides a comprehensive review.

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CK Quarterly – Summer 2015

A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk

with Masoumeh Taslimi and Rajan Batta

If we allow more roads for hazmat, can we make a safer road network? Should we change the location of hazmat response units accordingly? Would some residents be unhappy with that change? This paper suggests a comprehensive modeling framework to answer these questions.

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CK Quarterly – Spring 2015

Regulating Hazardous Materials Transportation by Dual Toll Pricing

with Tolou Esfandeh and Rajan Batta

This paper investigates how we can make the road network safer by regulating hazardous materials transportation via dual toll pricing. The core idea is to charge separate tolls for regular vehicles and hazmat trucks. Computational methods are proposed.

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Julia Packages

The Julia Langugage is a recently developed programming language for numerical computations. RobustShortestPath.jl is a package that finds robust shortest paths when travel cost is subject to uncertainty. TrafficAssignment.jl finds traffic user equilibrium for congested road networks.

RobustShortestPath.jl TrafficAssignment.jl

CK Quarterly – Winter 2014

Worst-case Conditional Value-at-Risk Minimization for Hazardous Materials Transportation

with Iakovos Toumazis

How should we determine a safe route for transporting hazardous materials such as explosive and corrosive chemicals? This paper questions existing routing methods in hazmat transportation and proposes a robust and risk-averse routing method.

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Robust Hazmat Network Design Problems Considering Risk Uncertainty

with Longsheng Sun and Mark Karwan

Most research in hazmat transportation ignore uncertainty in consequences from a hazmat accident. To design a safe road network, this paper considers uncertainty in accident consequences and develops a computational method based on Lagrangian-relaxation.

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