Developing a Bus Service Reliability Evaluation and Visualization Framework Using Archived AVL/APC Data Wei Feng Dr. Miguel Figliozzi Portland State University 6/27/2012 1

Outline Background Motivation Objective Data description and route configuration Performance measures and visualization examples Summary Future work 2

Background PORTAL (Portland Oregon Regional Transportation Archive Listing) it is a multi-modal transportation data archive and web-based visualization system.PORTAL Transit data are complicated and difficult to manipulate and have not been incorporated into Portal yet. TriMet is going to upgrade the existing bus dispatching system with higher resolution AVL data. 3

Service reliability is important for both transit agencies and passengers Under utilization of large amount of (Automatic vehicle location) AVL and (Automatic passenger counter) APC data Reduce research overlap Motivation 4

Develop a bus service reliability evaluation and visualization framework that can convert large amount of AVL, APC data into valuable information and performance measures with visual aids Objective 5

Performance measures Aggregated (certain time of day over multiple days) identify recurrent problems Disaggregated operational records (specific date and time of day) examine more detail information 6

Route configuration 7

WB F E D B C A Level of Service Scale On-time performance (WB) Hours Aggregated 8

Schedule adherence between 11am and 12am (WB) On – time threshold median 25% quartile 75% quartile Sample maximum Sample minimum Outliers + Actual– schedule departure time (seconds) Schedule deviations between 11am and 12 pm (WB) West Aggregated 9

headway frequency AM peak hours (WB) Frequency West Aggregated 10

West Aggregated 11

West Aggregated 12

West Time space diagram Disaggregated 13

Dynamic visualization Disaggregated 14

Summary 15 Route level bus service reliability evaluation and visualization are helpful to transit agencies Aggregated reliability performance measures are helpful for recurrent problems Disaggregated performance visualization can help understand particular causes

Integrate all these performance measures and visual aids with Portlal Extend the same algorithm to all other routes in TriMet Upgrade with new TriMet Bus dispatching system data Future work 16

Steve Callas and David Court (TriMet) OTREC (Oregon Transportation Research and Education Consortium) Eric Albright, Scott Price (ITS Lab at PSU) Acknowledgement 17

Route 9 dynamic visualization: Portal official: Portal demo: TriMet: Wei Feng Website: Dr. Miguel Figliozzi Website: Thank you Questions? 20

Data description Date Leave _time Train Stop _time Arrive _time DwellStop_idDoorLiftonsoffsLoadMileage 9/14/ /14/ /14/ /14/ /14/ /14/ /14/ /14/ /14/ /14/ ………………………………… 6