2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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4 - Node Modeling For Congested Urban Road Networks
Saif Eddin G Jabari, New York University Abu Dhabi,
Node models are responsible for capturing the propagation of traffic dynamics
through networks (e.g., spillback dynamics). Holding-free solutions for node
models are formally defined. Flow maximization is only a sufficient condition for
holding-free solutions. A greedy algorithm is shown to produce holding-free
solutions while also respecting the invariance principle. Staging movements
through nodes in a manner that prevents conflicting flows from proceeding
through the nodes simultaneously is shown to simplify the node models
considerably and promote unique solutions.
SB61
Cumberland 3- Omni
Advances in Railway Research
Sponsored: Railway Applications
Sponsored Session
Chair: Shantih Marie Spanton, CSX, 31 West Adams Street, Apt 607,
Jacksonville, FL, 32202, United States,
1 - CSX Line-of-Road Simulation
Yu Wang, CSX, Jacksonville, FL, United States,
Jagadish Jampani, Lray Rahn
CSX Line-of-road simulation model implements a heuristic algorithm which can
efficiently generate a meet-and-pass plan to dispatch trains through a division in a
conflict-free manner. In order to accurately capture the speed variation, a data-
mining module was implemented to predict the speed of any train during its trip
based on selected attributes of the train at that time. The model has been
validated and used for multiple case studies such as impact of train profile change,
sub-division capacity analysis, and curfew planning.
2 - Crew Caller Districting With Consideration Of Workload Balance
And Geographic Compactness
Siyang Xie, U of Illinois at Urbana-Champaign, Urbana, IL, United
States, , Yanfeng Ouyang, Kamalesh Somani
Railroads companies everyday receive a large amount of customer calls. These
calls are handled by the crew callers distributed in various crew calling desks.
Each of these desk is in charge of the calls from a particular region. To improve
service quality and save costs, the region assigned to each desk is designed to be
compact and the workload of desks are balanced. We formulate the problem as a
network-flow based graph partitioning model and design a specialized heuristic to
effectively solve the model. We demonstrate the feasibility of our methodology by
applying it to the CSX’s call center design problem.
3 - Scheduling Preventive Grinding For Railway Maintenance
Masoumeh Taslimi, Operations Research Manager, CSX
Transportation, Jacksonville, FL, United States,
Kamalesh Somani, Siyang Xie,
Yanfeng Ouyang
Railway is the one of the most valuable assets at railway industries. Periodic
grinding has been used to protect railway from deterioration and to prolong the
life of existing rail infrastructure. Rail grinding smooths the rail to minimize the
impact of rail wear, fatigue, and defects. The grinding schedule is usually
determined manually on required frequencies. It is desirable to both maximize
the total track miles smoothed by grinding, and also minimize the grinder’s total
travel distance. In this study, we propose a variant of Vehicle Routing Problem
with Time Window to create the grinder’s target frequencies at CSX
Transportation.
4 - Scheduling Training Activities For Engineers And Conductors
Grigory Pastukhov, CSX,
CSX Transportation constantly hires engineers and conductors to operate trains.
In order to make sure that these people are qualified to fulfill their duties, they
have to complete extensive training program. We present fully automated
scheduling system that creates detailed training plan for each trainee in the
system for the whole duration of training.
SB62
Cumberland 4- Omni
Aviation Applications Section: Best Student
Presentation Competition II
Sponsored: Aviation Applications
Sponsored Session
Chair: Lavanya Marla, University of Illinois, 216E Transportation
Building, 104 S. Mathews Ave., Urbana, IL, 61801, United States,
SB63
Cumberland 5- Omni
Alternative Fuel Vehicles and Sustainable
Transportation
Sponsored: TSL, Urban Transportation
Sponsored Session
Chair: Jee Eun Kang, University at Buffalo, 409 Bell Hall, Buffalo, NY,
14260, United States,
Co-Chair: Changhyun Kown, University of South Florida, 4202 E.
Fowler Ave. ENB118, Tampa, FL, 33620, United States,
1 - Economic Analysis On Adopting Strategies Of Electric Vehicles
For Urban Parcel Delivery Industry
Nan Ding, University at Buffalo, ,
Changhyun Kwon, Rajan Batta
Most existing works of electric vehicles (EVs) address travel distance cost of EVs
as the only objective and implement the strategy of replacing an entire fleet of
conventional vehicles (CVs) with EVs. Few works consider other costs of EVs or
alternative strategy. To fill this gap, this work conducts economic analysis of four
different strategies of adopting EVs. The objective of all strategies is to minimize
the total cost including distance cost, ownership cost, energy cost, as well as
infrastructure and maintenance cost for both CVs and/or EVs. These strategies are
implemented and solved by heuristics. Secondly, simulation analysis is conducted
under various uncertainties for comparison.
2 - Incorporating Demand Dynamics In Multi Period Capacitated
Recharging Location Planning For Electric Vehicles
Anpeng Zhang, University at Buffalo, Buffalo, NY, United States,
, Jee Eun Kang, Changhyun Kwon
We develop a multi-period capacitated flow refueling location problem for electric
vehicles (EVs) as EV market responds to the charging infrastructure. We present
two market dynamics (sensitive to path specific and general charging
opportunities) with two objective of charging location problem (maximizing flow
coverage and maximizing electric vehicle demand). A case study on US
Northeastern network is presented.
3 - Long-term Planning Of Inter-city Battery Electric Vehicle Fast
Charging Stations For The State Of California
Fei Xie, Oak Ridge National Laboratory, Knoxville, TN,
United States, , Changzheng Liu, Shengyin Li,
Yongxi Huang, Zhenhong Lin
This study focuses on the long-term planning of battery electric vehicle (BEV)
inter-city fast charging stations for the state of California in response to the
increasing market share of BEVs. Genetic algorithm will be used to solve this large
scale problem. We will investigate the trade-off between the high investment cost
in the BEV infrastructure and the growing BEV intercity travel demand with
higher BEV fleet size.
4 - Intercity Network Of Refueling Stations For Plug-in
Electric Vehicles
Mehrnaz Ghamami, Assistant Professor, Michigan State University,
428 S. Shaw Lane, Room 3502, East Lansing, MI, 48824,
United States,
This study aims at finding the optimum location of charging stations in an
intercity network of roads, considering multiple routes and multiple OD pairs on
each route. It also captures the optimal routes for various classes of vehicles
considering not only refueling time, but also travel time, subject to change by link
flows, along the routes. It is worth noting that the location of charging stations
affects the route selection of electric vehicle users and the route selection affects
the energy consumption, traffic on road, and the optimum location of charging
stations as a result. Thus, this study considers these codependent variables.
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