Automated Bicycle Data Collection: A Case Study from Portland, OR Western District Annual ITE Meeting June 26th, 2012 Presenter: Sirisha Kothuri Authors: Sirisha Kothuri Titus Reynolds Christopher Monsere Peter Koonce Automated Bicycle Data Collection 1
Outline Introduction Study Area Bicycle Counts Bicycle Delay Summary Next Steps Automated Bicycle Data Collection 2
3 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Our intentions are to be as sustainable a city as possible. That means socially, that means environmentally and that means economically. The bike is great on all three of those factors. You just can’t get a better transportation return on your investment than you get with promoting bicycling. – Mayor Sam Adams Source: P Koonce
Portland’s Bicycle Network Automated Bicycle Data Collection 4 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps 2010 Bicycle Network Bicycle boulevards Bicycle lanes Off street paths Total system (314 mi) Source: R Geller
Portland’s Bicycle Network Automated Bicycle Data Collection 5 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Source: R Geller
Where are we going? Automated Bicycle Data Collection 6 Introduction | Study Area | Bicycle Data | Pedestrian Data | Summary | Next Steps
Why is this important? Bicycle Data Gaps/Deficiencies in data Evaluation of system performance Current demand estimation Future infrastructure and operational needs Prioritize investments Improve safety Automated Bicycle Data Collection 7 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps
Objective Utilize existing infrastructure to develop a long term monitoring and collection system to monitor bicycle activity. Automated Bicycle Data Collection 8 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps
Study Area Automated Bicycle Data Collection 9 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps I-205 I-5 I-84 US-26 Downtown OR -217 Bicycle Data Bicycle Counts Bicycle Delay Pedestrian Data Push button actuations Pedestrian Delay
Bicycle Data Automated Bicycle Data Collection 10 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Single inductive loops Advance loop counts Criteria for counts Bicycle lane Advance loop in bike lane Individual loop wire Communication
Automated Bicycle Data Collection 11 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Count Verification Outbound Loop Inbound Loop Video and loop counts Underestimation of loop counts
Automated Bicycle Data Collection 12 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Daily Trend
Automated Bicycle Data Collection 13 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Weekday Trends
Automated Bicycle Data Collection 14 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Bicycle Delay Active at one intersection Internal logic commands Latch is set - Bike is detected Light status ≠ green Latch is released Light status = green Delay = Duration of latch Maximum delay per cycle
Automated Bicycle Data Collection 15 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps Bicycle Delay Delay Reduction Strategies Coordinated Free Increase in permissive length
PORTAL Regional data archive Data currently archived: Freeway loop detector Weather Incidents Bluetooth Bike and Ped Arterial Automated Bicycle Data Collection 16 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps
Conclusions Growing need for bicycle data Operations Planning Bicycle counts from inductive loops Cost effective Potential for undercounting Affected by placement, sensitivity and calibration Automated Bicycle Data Collection 17 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps
Next Steps Expansion and verification of counts Expansion of bicycle delay to other intersections Optimizing signal timing based on delay Automated Bicycle Data Collection 18 Introduction | Study Area | Bicycle Counts | Bicycle Delay | Summary | Next Steps
Thank you! Sirisha Kothuri Titus Reynolds oregon.gov Christopher Monsere Peter Koonce Automated Bicycle Data Collection 19