公交车上 APC 和 Farebox 乘客量估计的准确性：一种深度学习数据收集方法.pdf

1、2023 Innovations in travel Analysis and Planning ConferenceAccuracy of APC and Farebox Ridership Estimates on Buses:A Deep Learning Approach to Data CollectionJune 6,2023Jackie Nowak,SRF Consulting Group Jackie NowakLead Transit AnalystTransit Planning Project Team Brandon Whited,Metro Transit Proje

2、ct Manager Eric Lind,Metro Transit Technical Oversight Joe Kapper,SRF Project Manager Gordon Parikh,SRF Data EngineerIntroductionData Collection Video ProcessingData Analysis ConclusionsAgendaSystem OverviewMetro Transit operates 151 local and express bus routesIn 2022,these bus routes served an ave

3、rage of 72,885 passengers per dayThese official bus ridership estimates typically come from farebox dataMetro Transits fare data comes from 2 key sources:Smartcard validators Farebox system for cash,transfer validation,and manual key optionsAutomated passenger count(APC)systems found on 90%of fleet

4、busesA 2018 audit found that 30-40%of bus trip counts did not match between these systemsRidership Counting MethodsImage source:Metro TransitProject GoalsInvestigate audit findings that brought into question the accuracy of automated passenger counting devicesDevelop an automated data collection met

5、hodCollect data set and develop analysis methods and deliver to Metro Transit for future useEstimate errors of passenger counting and fare collection devicesData CollectionData CollectionCollected video of passenger boardings at front of busDeployments at 2 garagesSignificant coordination with Metro

6、 Transit operations staffExample driver duty sheet or“paddle”Pre-identified duties for deployments based on similar criteria in general the duties are the same every weekday Identify vehicles assigned to duties SRF staff locate bus in garage bays to mount camera and power bank(about 1.5 hours staff