Ben Timerson, MnDOT Erik Minge, SRF Consulting Group Greg Lindsey, University of Minnesota

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Transcription:

Ben Timerson, MnDOT Erik Minge, SRF Consulting Group Greg Lindsey, University of Minnesota

2050 Vision Minnesota Go Multimodal transportation system maximizes the health of people, the environment and our economy. Complete Streets To understand vehicle, bicycle, and pedestrian interactions Helps achieve transportation goals listed in statue Toward Zero Deaths To assess exposure and effectiveness of safety programs Performance measures To increase bicycling, walking and transit

Guiding principles Integrate with motor vehicle count program Build on experience: FHWA Traffic Monitoring Guide Produce practical products for practitioners and local agencies Provide for institutional sustainability

Three projects: (1) Methodologies; (2) Implementation; (3) Institutionalization (+$320,000, plus MnDOT staff time)) Develop non-motorized traffic monitoring methods Encourage communities to monitor bikes & pedestrians Test and validate commercially available technologies Prepare Bicycle and Pedestrian Data Collection Manual Provide training, and technical support for local programs Establish statewide network of automated bicycle and pedestrian monitors (> $250,000 capital investment, plus staff time) Produce evidence for investments in infrastructure and safety Develop performance measures

MnDOT, SRF, UMN collaboration Equipment selection Commercially available automated devices Capable of monitoring roads, sidewalks, trails Complement NCHRP studies Equipment deployment Local agency partners in 3 of 8 MnDOT districts (inefficient, but demonstrated not just Minneapolis activity) Manual: practical how-to guide Training sessions: same day as motorized monitoring sessions; field-based

Counter Type Inductive Loops Multi Modes Counted Bikes Bike and Ped Separately Installation Difficulty Partners Vendor & Equipment Difficult, contractor installation required Difficult, contractor installation required MnDOT MnDOT & Rochester Duluth Tubes Bikes Intermediate Hennepin County Active Infrared Passive Infrared Microwave Bike & Ped Combined Bike & Ped Combined Bike & Ped Separately Simplest Minneapolis Park & Rec Eco Counter Eco-Zelt Eco Counter Eco-Multi TimeMark & MetroCount TrailMaster TM1550 Simplest MnDOT EcoCounter Pyro Simplest MnDOT, Grand Marais Chambers RBBP

MnDOT CO providing Portable equipment in each district Data collection support for districts and local jurisdictions = MnDOT District Headquarters = Existing Permanent Counters = Potential Locations with Local Partners

Introduction Glossary & Acronyms Identify Count Purpose and Select Site Bicycle and Pedestrian Data Sensors How to Perform Counts Data Management and Analysis Conclusions and Next Steps Appendixes A Sensor Selection Flow Chart B MnDOT Standard Manual Screenline Count Form C Sensor Accuracy Assessment D Adjustment Factors

Targeted Locations Representative Locations Control Locations Random Locations Index Locations

Street and roads Trails and sidewalks

Chapter subsections for each technology Subsection contents Site design Calibration Data collection Maintenance and troubleshooting Manual to be updated in 2016 http://www.dot.state.mn.us/research/ts/201 5/201533.pdf

+ 20 Permanent continuous sites Minimum 2 / district 8 road (inductive loops) 8 trail (inductive loop, infrared) Purpose: pattern identification, factoring, trend analysis Short duration sites Portable equipment set / district 1 Infrared (trails, sidewalks) 1 pneumatic tube (roads, trails) Phased installation (2014-2017) 2013 Sites 2014 Sites 2015 Sites Legend 2016 Planned Sites District Boundaries Tribal Lands

AADB AADB at Index Sites 1600 1400 1200 1000 800 600 400 200 0 2014 2015 2016 Scenic Highway 61 42 Douglas Trail 125 West River Parkway 921 Lake Walk Trail 272 Central Avenue 74 57 Trunk Highway 13 41 43 AADB at 6 index sites ranged from 43 921 Summer ADB approximate double AADB Highest volumes on trails +10 more sites to be installed in 2016

2015 AADB Trails: Minneapolis, Duluth Annual AADB Proportion by Month 2000 25.0% 1800 1600 Minneapolis - W. River Parkway 20.0% 1400 1200 1000 800 600 Duluth - Lake Walk 15.0% 10.0% 400 200 5.0% 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 0.0% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 14 Weekday Volumes 14 Weekend Volumes 12 12 10 10 Percentage 8 6 4 Percentage 8 6 4 2 2 0 0 2 4 6 8 10 12 14 16 18 20 22 0 0 2 4 6 8 10 12 14 16 18 20 22 Hour Hour

8 local and regional partners Bemidji (Headwaters Regional Development Commission) Cass Lake Reservation (Leech Lake Band of Objibwe) Fergus Falls Grand Marais (Sawtooth Mountain Clinic) Mankato MnDOT Metro District Morris St. Paul 58 installations, 33 sites

Sidewalks (n=4) Shared Use Paths (n=35) On-Street (n=4) On-Street Bike Lanes (n=5) Bikes (n=2) Peds (n=1) Mixed (n=1) Bikes (n=19) Peds (n=5) Mixed (n=11) Maximum 105 89 19 201 406 460 201 752 Mean 55 27 14 201 406 148 80 316 Median 52 13 14 201 406 99 26 322 Minimum 13 7 8 201 406 18 17 23

Sites Traffic Measures Counting Methods Arrowhead Regional Development Commission 23 Hennepin County 65 Minneapolis Department of Public Works Minnesota Parks and Trails Council St. Paul Department of Public Works Three Rivers Park District 53 Mixed mode trail traffic, Summertime average daily traffic Bicycle traffic, roads, trails, AADB Bikes: streets, trails; Ped: trails, sidewalks, peak hour (2 hours) Active infared Pneumatic tubes Manual (infrared, inductive loop on trails) 25 Trail Traffic (12 hours) Manual 33 Bikes: streets, trails; Ped: trails, sidewalks, peak hour (2 hours) Mixed mode trail traffic, Trail AADT Manual Passive infared

Issue: MnDOT funding for trail extension 25 sites Active infrared monitors 1 reference site each half Minimum 7 days at short duration sites Day-of-summer factoring Study to be replicated in 2016

Statewide commitment to bike & ped coutning New collaborations with local governments, tribes: MOUs for lending portable equipment New collaborations within MnDOT New automated bicycle and pedestrian monitoring programs (state and local) Better data for decision-making Better decisions Progress in institutionalization Many challenges yet to overcome