Informs 2015

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INFORMS Philadelphia – 2015
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3 - Constructing Activity-mobility Patterns of Students Base on UB
Card Transactions
Negin Ebadi, University at Buffalo, 326 Bell Hall, Buffalo, NY,
14226, United States of America, ,
Nicholas Delgobbo, Kwangil Suh, Jee Eun Kang
This paper proposed two algorithms to construct activity-mobility patterns of
students in University at Buffalo based on their UB card transactions. A
combination of two different measures of error has been used to evaluate the
performance of the proposed algorithms.
WA69
69-Room 201C, CC
Connected and Autonomous Vehicles II
Sponsor: TSL/Intelligent Transportation Systems (ITS)
Sponsored Session
Chair: Henry Liu, University of Michigan College of Engineering,
Ann Arbor, MI,
1 - Envy-free Intersection Control with Value of Time Heterogeneity
Roger Lloret-Batlle, R. Jayakrishnan
Current traffic signal systems do not incorporate heterogeneity in the value of
time of drivers. Including this information can improve intersection efficiency. We
do this by allocating the green times according to a travel cost minimization rule,
and then evaluate and discuss different payment schemes with different incentive
and fairness properties.
2 - Optimizing Reservation-based Intersections for System Efficiency
Michael Levin, University of Texas at Austin, Ernest Cockrell, Jr.
Hall (ECJ) 6.204, 301 E. Dean Keeton St. Stop C1761, Austin, TX,
78712, United States of America, ,
Stephen Boyles
Reservation-based intersection controls for autonomous vehicles (AVs) have been
demonstrated to reduce delays beyond optimized traffic signals. The question we
address is how to optimize the reservation controls themselves. We present an
integer programming (IP) formulation for reservation controls in dynamic traffic
assignment and consider delay and energy objectives. We use a heuristic to solve
the IP on a city network and obtain significant improvements under user
equilibrium behavior.
3 - A Cooperative Active Collision Avoidance (CACA) Model for
Connected Vehicles
Henry Liu, University of Michigan, Ann Arbor, MI, United States
of American, , Xuan Di, Guizhen Yu
The emergence of the connected vehicle technology, which enables real-time
V2V/V2I, holds the potential to enhance traffic safety applications such as vehicle
collision avoidance. In this paper, we develop a novel cooperative active collision
avoidance system for connected vehicles that can either avoid rear-end crashes or
reduce rear-end crash severity by applying deceleration to the following vehicle
and acceleration to its leading vehicles
4 - Auction-based Ridesharing with Pick-up and Drop-off
Time Window
Alireza Khani, Assistant Professor, University of Minnesota,
St. Paul, MN, United States of America,
Stephen Boyles
An auction-based ridesharing system is proposed in which users place bids for
guaranteed door-to-door service with time constraints, and service provider
selects a subset of bids to maximize the profit given operational cost in a time-
dependent network. The problem is formulated as a MIP model and solution
methods are investigated.
WA70
70-Room 202A, CC
Recent Academic Research in Railway Applications
Sponsor: Railway Applications
Sponsored Session
Chair: Jeremiah Dirnberger, Manager-Network Modeling & Analytics,
CSX, 500 Water St, J300, Jacksonville, FL, 32202,
United States of America,
1 - Integrated Systems Management Framework to Analyze the
Critical Role of PTC in Rail Safety
Yalda Khashe, USC, University Park Campus, Los Angeles, CA,
90089-0193, United States of America, ,
Najmedin Meshkati
It seems that there has been a rash of serious and horrific railroad crashes and
derailments in the US in this year that has claimed the lives of more than 14
people and injured hundreds. Authorities have issued a new rule on tank cars
and renewed the call for speeding up the installation of the PTC systems on Class
I railroads. However, PTC is designed to prevent a specific group of accidents and
over reliance on this technology could potentially impair the overall safety of the
system.
2 - Managing Rail Transportation for Hazardous Materials
Ginger Ke, Assistant Professor, Memorial University of
Newfoundland, Faculty of Business Administration, St. John’s,
NL, A1A4J9, Canada, , Kan Fang, Manish Verma
This paper studies the routing and scheduling of rail shipments of hazardous
materials with due dates. In particular, we minimize the weighted sum of
earliness and tardiness for each demand plus the holding cost at each yard, while
forcing a risk threshold on each service leg at any time instant. A mixed-integer
programming model and two heuristic-based solution methods are proposed for
preparing the shipment plan. Numerical experiments are conducted to provide
managerial insights.
3 - Potential Areas Affected by a Liquid Hazardous Material Release
Jose Manuel Martin Ramos, University of Illinois (RailTEC),
205 N. Mathews Ave., Urbana, IL, United States of America,
, Mohd Rapik Saat
The increase of crude oil traffic by rail in the U.S. and several severe release
incidents highlight the need to further improve railroad transportation safety.
Accurate estimation of the potential consequences of a release incident is a key
element in risk assessment. This paper describes a specific methodology for
evaluating more precisely the consequences of liquid hazardous releases. The
model is developed using GIS software allowing anybody to easily implement it in
time-efficient manner.
4 - A General Solution for Rail Yard Simulation with
Conflicting Routes
Yuan Wang, SWJTU, 111 Erhuan Road Bei Yi Duan, Chengdu,
China, , Gongyuan Lu
The biggest challenge in the yard simulation is to handle route conflicts of trains if
their moving has shared tracks. The traditional agent-based simulation is usually
very complicated and can hardly describe a lot of details. We will present a
general event-based solution which can simplify the modeling process
tremendously for all kinds of yards. A successful use case from the largest high-
speed train station in Asian will be presented.
WA71
71-Room 202B, CC
Traffic Management
Contributed Session
Chair: Xiaolei Guo, Associate Professor, University of Windsor, 834
Hacienda Court, Odette School of Business, Windsor, Canada,
1 - Using Cumulative Prospect Theory to Model Unexpected Driver
Response to Congestion Pricing
Christopher Gaffney, Drexel University, 3141 Chestnut St,
Philadelphia, PA, 19104, United States of America,
Michael Pennock
Dynamic congestion pricing is commonly used to reduce demand on roads. In
practice, stated preference surveys are used to gauge drivers’ value of time and set
toll prices, while utility theory is often used for theoretical modeling. Evidence
from Minneapolis and San Diego has shown the unexpected result that demand
for tolled lanes increases with toll price. To account for this, we argue that an
alternative measure of driver response to tolling, such as prospect theory, is
needed.
2 - A New Quantitative Measure of Network Resilience
Hongcheng Liu, Pennsylvania State University, 240 Leonhard
Building, State College, PA, United States of America,
, Afrooz Ansaripour, Terry Friesz,
Wenjing Song, Haipeng Wang, Yiou Wang, Tao Yao, Zhaohu Fan
We propose a new quantitative measure of network resilience, called
performance centrality, which generalizes the notion of betweeness centrality to
explicitly capture not only topology but also distribution of demand and traffic
controls. Numerical experiments indicate that performance centrality is a useful
resilience index that provides new insights regarding how well traditional
network resilience may be integrated with road network operational
characteristics.
WA69