Continuous Dynamic Optimization: Impacts on ADA Paratransit Services (2023) / Chapter Skim
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Appendix - Survey Instrument: TCRP Synthesis Project J-07/Topic SB-36
Appendix - Survey Instrument: TCRP Synthesis Project J-07/Topic SB-36
Pages 77-94
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• Actions taken based on the results and experience and lessons learned. Guidance for Completing This Survey If your transit agency is responsible for multiple jurisdictions for which you have separate ADA paratransit services, please choose the largest one for which continuous dynamic optimization is used.
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Operated with dedicated vehicles only Operated with non-dedicated vehicles only Operated with dedicated and non-dedicated vehicles We recommend that before starting the survey, you get ridership data for dedicated and non-dedicated service for October 2019 and October 2021. You might also need to have at hand before-and-after information about trips per revenue vehicle hour, operating costs, on-time performance, dispatcher staffing numbers, dispatcher labor costs, and customer complaints.
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Both Other: ________________________________________________ ADA Paratransit Service Size Please provide the information requested in the table below. In the table, "co-mingled" refers to non-ADA paratransit trips that are served along with ADA paratransit trips in the same vehicles.
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: ________________________________________________________________ Reservations/Booking Policies for Your ADA Paratransit Service Select all that apply. Next-day reservations Advance reservations Subscription trip/standing order requests Same-day service (if space available)
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Delayed scheduling (i.e., a reservation agent books the trip request for a specific date and time but does not schedule the trip onto a vehicle run; this is done later by schedulers using your scheduling software) Other: ________________________________________________ What is the largest number of dispatchers (including dispatcher assistants)
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technology that you currently use to support the booking/scheduling/dispatching functions of your ADA paratransit service?
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No, just our ADA paratransit service Yes, we also use it for our on-demand, general public microtransit service(s) Yes, we also use it for:________________________________________________ Dispatcher-Driver Technology How does your technology provide for dispatcher-driver communication and service data collection?
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, but we did not get it (or did get it but do not use it) No Not sure When did you first start using the continuous dynamic optimization function?
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We use the continuous dynamic optimization function after the scheduling process has been completed the day before and throughout the service day. We use the continuous dynamic optimization function only occasionally, when needed.
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To schedule unscheduled trips To reassign trips that are projected to be picked up late To reassign trips that trigger vehicle capacity violations (e.g., if a different vehicle type was swapped in at pull-out) To reassign trips that trigger a maximum onboard travel time To generally optimize productivity by filling holes created by cancellations or no-shows Other: ________________________________________________ Configurability What parameters for your technology are configurable?
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To improve the productivity of the dedicated fleet and reduce overall costs To improve on-time performance Our dispatch staff was consumed with responding to real-time problems and was unable (or did not have the time) to identify and solve upcoming problems before they manifested themselves in real time None of our dispatchers had the requisite skill set for proactive dispatching We saw it as an opportunity to improve the quality of dispatching Other: ________________________________________________ Implementation/Deployment Challenges and Issues What, if any, challenges or issues arose when the continuous dynamic optimization function was implemented and deployed?
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Productivity (trips per revenue vehicle hour) improved.
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Operating costs On-time performance Number of dispatchers Number of schedulers Dispatcher/scheduler labor costs Customer complaints Please describe any other benefits of deploying continuous dynamic optimization that were not listed above. ________________________________________________________________ Did the continuous dynamic optimization function meet your expectations?
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were paid? ________________________________________________________________ Lessons Learned As a result of your experience, what other lessons learned can you offer to other transit agencies that are considering a change to continuous dynamic optimization?
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Survey Instrument: TCRP Synthesis Project J-07/Topic SB-36 91 Case Example Participation Would you be willing to participate further as a detailed case example if selected by the TCRP panel for this project? This will involve a remote interview going into further detail on your agency's experience.
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NASA National Aeronautics and Space Administration NASAO National Association of State Aviation Officials NCFRP National Cooperative Freight Research Program NCHRP National Cooperative Highway Research Program NHTSA National Highway Traffic Safety Administration NTSB National Transportation Safety Board PHMSA Pipeline and Hazardous Materials Safety Administration RITA Research and Innovative Technology Administration SAE Society of Automotive Engineers SAFETEA-LU Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (2005) TCRP Transit Cooperative Research Program TEA-21 Transportation Equity Act for the 21st Century (1998)
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Transportation Research Board 500 Fifth Street, NW Washington, DC 20001 ADDRESS SERVICE REQUESTED ISBN 978-0-309-68776-8 9 7 8 0 3 0 9 6 8 7 7 6 8 9 0 0 0 0
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