cmap rtoc - home - cmap
TRANSCRIPT
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September 2015
TCC ExpoNovember 2015
CMAP RTOCMay 26, 2016
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We connect to all of your signalized intersections, we do not interfere with traffic signal operation – we only collect data.
We generate essential performance measures, using queue length processing,* that agency traffic engineers can use to better manage signalized arterial roadways:
Comply with MAP-21 / FAST Performance Measure requirements to qualify for federal funding;
Online Real-Time performance monitoring and Off-Line analysis tools;
Travel-time & Queue Length;
Reduce congestion, fuel consumption, carbon footprint and increase safety.
Our unique approach allows us to connect to any signalized intersection in North America.
Our technology provides accurate traffic flow & traffic signal sequence data to a growing ecosystem of companies that seek to move traffic, people and goods safely & efficiently.
LIVE TRAFFIC DATA LLC“Queue Length Processing (QLP) is the only way to calculate the accurate wait time of vehicles at traffic lights and deliver ALL the data needed for generating accurate travel times on signalized arterial corridors…”
* U.S. Patent No. 8,279,086
Summary
OVERVIEW
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FHWA has identified some of the principal causes of congestion
– Bottlenecks - responsible for over 40% of urban congestion
– Signal Timing - responsible for up to 10 % of traffic delay
According to the 2015 Urban Mobility Scorecard*, congestion caused 6.9 billion hours of delay in 2014 and 3.1 billion gallons of wasted fuel with a nation-wide annual cost of $160 billion or about $960 per commuter
Congestion leads to:• productivity losses from traffic delays• Increased air pollution• increased accidents and need for added emergency services
* Texas Transportation Institute Urban Mobility Scorecard published in August 2015 ( http://mobility.tamu.edu/ums/ )
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Significant Problems
Problem: High Levels of Congestion and Lost Productivity
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* Latest report released – National Transportation Operations Coalition, 2012 National Traffic Signal Report Card.** Mckinsey Global Institute, ¨How to Save $1 Trillion a Year,¨ 2013.
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The lack of funds has led NTOC to assign a self-assessed Failing Grade on Traffic Monitoring and Data Collection*
Manual data collection and processing is time-consuming and expensive
Operational data is neither stored nor analyzed
Lack of monitoring and analysis tools
Need for performance measures
¨Transport planners recognize that adding or expanding roads quickly induces additional demand, providing only temporary relief to congestion¨**
Significant Problems
Problem: Lack of Funds at Transportation Agencies
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Supports All Controller Types
• Econolite
• Siemens
• McCain
• Peek
• Trafficware (Naztec)
• Intelight
• …
Supports All Detector Types
Loop
Video
Radar
Magnetic
Hybrid
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Solution
UNIQUE Approach Enables Us to Connect to Any Signalized Traffic Intersection
NEMA, 170/2070, …
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Gather traffic signal status and traffic flow data
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Data Collection Unit (DCU) hardware
Cabinet hardened plug-and-play device
Works with all traffic controller cabinets in the U.S. and Canada (TS-1, TS-2, 170/2070)
No interference with existing signal control
Works with all vehicle detection devices
Work with existing detector layouts—no customization required
Fiber / Ethernet / serial and wireless communication environments
Solution
UNIQUE Hardware Solution
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TS-2 type cabinets
Cabinet SDLC bus line
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Solution
Field Implementation
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TS-1 type cabinets
Controller A,B,C,D connectors
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Solution
Field Implementation
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170/2070 type cabinets
Controller C-1 connector
Solution
Field Implementation
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LTD Local Server
DOT Firewall
…
LTD Database Server
LTD Performance Measure
Webserver
Solution
LTD Performance Measure System Architecture
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Multiple Agency Hi-Resolution Data Pushed to Cloud
Solution
Metro Server
City Server
State DOT Server
County Server
40 TSI
3 TSI8 TSI
5 TSI
LTD ArterialPerformance Measure
Cloud Server
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Regional Access to Performance Measures
Solution
Metro Server
City Server
State DOT Server
County Server
40 TSI
3 TSI8 TSI
5 TSI
MetroWorkstn
State DOTWorkstn
CityWorkstn
CountyWorkstn
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LTD ArterialPerformance Measure
Cloud Server
56 TSI
56 TSI
56 TSI
56 TSI
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On-line Real-time Performance Measures for Traffic AgenciesIntersection LOS
Link Delay
Customized Alerts
Off-line analysis tools for consulting
firms and signal timing engineers
Performance Assessment
Signal Optimization Preparation
Fine-tuning Analysis
Performance Comparison (before vs. after)
Retiming Benefits Analysis
Reports
Solution
We Provide Powerful Monitoring & Analysis Software Suite
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Application Example
Real-Time Performance Monitoring
Provides real-time performance monitoring for the corridor Level of service Link speed Average delay Saturation level
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Automatic Notification of Service Anomalies
Ex. 7. Real-time Alerts
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Application Example
Real-time Alerts
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Application Example
Intersection Performance Comparison
Automatic comparison of different performance measures
Queue length Total / average delay Saturation level Arrival on green Volumes …
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Application Example
Split Analysis
Use split analysis to evaluate the actual performance of specific phases # of Gap out, Max Out, Force Off, Skipped
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Field-data driven T-S Diagram Evaluate the actual performance Fine-tune coordination
Application Example
Arterial Performance Time-Space Diagram
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Application Example
Real-Time Travel Time Estimation
Nine intersections in the City of Moorhead 6 TS-1 intersections 3 TS-2 intersections Siemens Eagle controllers
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Automatic comparison of travel times and vehicle trajectories Travel time variation and reliability Detailed vehicle trajectories Before-and-after studies
Application Example
Travel Time / Vehicle Trajectory Comparison
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To better understand how congestion evolves
Different cell colors indicate different congestion levels
Easily identify the most and least congested time and location
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EB WB
5 am
6 pm
Noon
Queue Delay
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10
Application Example
Arterial Congestion Report
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Application Example
Retiming Benefits
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Detector Layout
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0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
0
20
40
60
80
100
120
140
1 3 5 7 9 11 13 15 17 19 21 23
Vol
um
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# o
f R
LR
Time of day
# RLR and Volume vs. Time of Day (Eastbound)
# of RLR volume
Application Example
Ex. 8 – Red Light Running (RLR) Statistics
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Alliant Engineering for Minnesota DOT, 2009
Iteris for the City of Pasadena, CA, 2011
Performance Measures, e.g. Travel Time and Queue Length, were independently verified in these deployments
Alliant Engineering for Minnesota DOT, 2014
LTD system helped engineers to optimize signal timings in much more efficient & effective ways
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Solution
Live Traffic Data Performance Measures Validated by Independent Consultants
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Proven Reliability:
Deployed with DOT’s in Minnesota and California since 2007
Operate regardless of environmental conditions
Do not interfere with the traffic controller--DCUs only collect data
Provide desirable monitoring and analysis tools to traffic engineers
Can provide direct access to any traffic signal cabinet in the U.S.
Effective:
Reduce congestion, fuel consumption and improve signal coordination
Monitor arterial performance
Before & After evaluation
Travel-time, queue length, stops & delays
Traffic alerts
Budget Friendly:
Subsidized cost for H/W, S/W
Save on retiming, signal optimization costs
Meet FAST ACT Performance Measure requirements—qualify for federal funding
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Competitive Advantages
Why Live Traffic Data ™
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INDEPENDENT EVALUATIONS
LTD Data Accuracy Validation
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TH 55 (6 Intersections)
Conducted by Alliant Engineering, Inc.
July 2009
LTD Data Accuracy Validation
Independent Evaluation: TH 55, Golden Valley, MN
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0
200
400
600
800
1000
6:57:36 7:12:00 7:26:24 7:40:48 7:55:12 8:09:36 8:24:00
July 22nd for TH55WB at Rhode Island Intersection (AM)
MaxQL-Estimation
MaxQL-Observation
0
200
400
600
800
6:57:36 7:04:48 7:12:00 7:19:12 7:26:24 7:33:36 7:40:48 7:48:00 7:55:12 8:02:24
July 23rd for TH55WB at Rhode Island Intersection (AM)
MaxQL-Estimation
MaxQL-Observation
LTD Data Accuracy Validation
Queue Length Comparison
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100
200
300
400
0 100 200 300 400
Observation (seconds)
Estimation (seconds)
Travel Time Estimation vs. Observation(July 22 & 23)
+10%
-10%
LTD Data Accuracy Validation
Travel Time Comparison
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Conducted by Iteris, Inc.October 2011
Orange Grove Blvd (6 Intersections)
LTD Data Accuracy Validation
Independent Evaluation: Orange Grove Blvd, Pasadena, CA
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LTD Data Accuracy Validation
Queue Length Result
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LTD Estimated results
vs. Measured results
LTD Data Accuracy Validation
Travel Time Results
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