OR/MS Tools for Public Transit Planning

SB34.1 Miami International Airport: Automated People Mover, Passenger Flow Simulation

• Gediz Er; Lea+Elliot, Inc., 14325 Willard Rd., Ste. 200, Chantilly, VA 20151; ger@leaelliott.com
• Deanna Doan; Lea+Elliot, Inc., 14325 Willard Rd., Ste. 200, Chantilly, VA 20151; ddoan@leaelliott.com

Discrete event simulation was used system-wide to identify bottlenecks and interdependencies at the planning stage. Alternative baggage handling scenarios were evaluated. Decision criterion was Level of Service on platforms, including queue space, aisle width, and vertical circulation requirements.

SB34.2 A Hybrid Scheduling Approach for Pickup & Delivery of Para-Transit Demand

• Majid Aldaihani; University of Southern California, Dept. of ISE, Los Angeles, CA 90089-0193;
• Maged Dessouky; University of Southern California, Dept. of ISE, 3715 McClintock Ave., Los Angeles, CA 90089-0193; maged@rcf.usc.edu

Most of the scheduling literature on para-transit systems are for strictly curb-to-curb systems. With the increased demand and usage of these systems, alternative methods for transporting elderly and disabled passengers need to be developed. We present a heuristic that schedules these type of passengers that integrates a curb-to-curb system with a fixed route line.

SB34.3 An Assessment of Integrated Transit Service

• Mark Hickman; University of Arizona, Civil Eng. & Eng. Mechanics; mhickman@engr.arizona.edu

Many transit agencies are considering integrating their fixed-route and demand-responsive transit service. We present a methodology that illustrates one way to schedule such an integrated service. The technique is illustrated using an extensive case study from Houston, Texas, illustrating both passenger and agency benefits of service integration.

SB34.4 An Exact Algorithm for the Multiple Vehicle Pickup & Delivery Problem

• Quan Lu; University of Southern California, Dept. of ISE, Los Angeles, CA 90089-0193;
• Maged Dessouky; University of Southern California, Dept. of ISE, 3715 McClintock Ave., Los Angeles, CA 90089-0193; maged@rcf.usc.edu

We develop an optimal solution procedure for the multiple vehicle pickup and delivery problem. This problem has numerous applications such as the dial-a-ride problem for the transportation of elderly and disabled passengers. As opposed to other optimal solution procedures, our approach does not require either tight capacity or time window constraints.