Rural Application of the Colorado Transportation Management System Presented at ITS America, June 2007, Palm Springs, CA By Raj Chaudhuri and Ken DePinto

slide 2 Background Colorado Traffic Operations Center Duties  24/7 Operation  Provide Statewide Traveler Information  Maintain and Operate VMS’s/DMS’s, CCTV’s, Fiber Backbone, 511, etc.  Partnerships With Media, Cities, OEM, Counties, Other

slide 3 I-70 Corridor Characteristics Trip Travel Time (Approximately 100 miles – Denver International Airport to Vail) Recreational Traffic Typical Peak Traffic (Friday, Saturday and Sunday) Drive Time 3-4 hours on weekends Posted Speed Limit 65 MPH (Interstate 70) Alternate Routes plus mile detours Incidents Are Common

slide 4 Denver to Vail Infrastructure 15 Dynamic Message Signs (2 portable) 11 Remote Traffic Microwave Sensors 12 Automatic Vehicle Identifiers Communications (Fiber and Cell)

slide 5 Detection Devices Ramp Meters 89 Automatic Traffic Recorders 110 AVIs (400,000 Tags in Denver Metro) 18 Microwaves 121

slide 6 Purpose Alleviates Driver Frustration Provides Drivers Information Prior to Making Travel Plans Sent to Communities via Internet, Web and Cable TV (COTRIP.ORG) Spreads Out The Peak Periods Prevents Secondary Incidents One GUI for all devices

slide 7 Future Deployment Ground mount signs Currently Studying Drivers Perception of Travel Time Plans For Additional Corridors

slide 8 Get Data AVI Toll Tag Readers  Read and transmit  Encrypt and match AVI Source/destination pairs True vehicle ground speed Loops / Side fire Radars  Read and record point data  Every 1 minute collect VOS data Collect Data from over 300 devices

slide 9 Process Data Algorithm developed by Dion and Rakha at Virginia Tech Transportation Institute  Adaptive filtering technique  Dynamic adjusting valid window using standard deviations  Applies log normal distribution  Works with low sample rates on freeways and arterials  Adjusts rapidly by dropping its floor or ceiling  Weighted % result ( AVI 70 pctw + RTMS 20 pctw + Rampmeters10 pctw ) Calculates Speed, Volume Occupancy and Travel time every 2 minutes

slide 10 View Data GIS based map client Speeds Devices by status

slide 11 View Data View Segment

slide 12 View Data View Route

slide 13 Generate Alarms Segment has speed less than 15 mph for 8 minutes, and / or Segment has occupancy of over 50% for 8 minutes Share data with cities (Denver, Lakewood)

slide 14 Activate Dual Messages Select signs (grouped by configuration) Type message about incident Include Speed / Trip Travel Time messages WYSIWYG editor, spell checker, message library

slide 15 View VMS Detail Device Status WYSIWYG Message Errors

slide 16 CTMS Statistics 365 Devices in CTMS 0.5 GB of data collected per day  Entire database size is GB, containing data from 2/1/2006  All data is being archived and kept forever 136 Variable Message Signs  Estimate travel times updated to 15 signs every 3 minutes 121 RTMS & Wavetronics  Speed, volume and occupancy data for each lane collected every 30 seconds 89 Ramp Meters  "Type 1 Data" average smoothed speed, occupancy, and volume data for each ramp meter collected every 20 seconds  "Type 2 Data" average speed, occupancy, and volume data for each ramp meter and lane collected every 1 minute 19 AVI Toll Tag Readers  Speed and travel time from source AVI to destination AVI calculated for each vehicle immediately after it passes the destination AVI and stored in the database

slide 17 Events Scheduled Construction Maintenance Courtesy Patrol Closures/Incidents

slide 18 Contact Information Ken DePinto Raj Chaudhuri

slide 19 Appendix The information in the appendix contains details about the CTMS application including: screen shots, high level technical information, cdot toc facility and references

slide 20 Innovation: Integrate Any Device… RTMS Dynamic Message Signs Toll Tag Readers Ramp Meters

slide 21 Innovation: Across Any Network Topology Fiber Modem IP

slide 22 Technical Architecture

slide 23 Software Architecture

slide 24 Software Architecture - Implemented in 90% Open Source! Integrated Development Environment  Eclipse IDE J2EE Application Server  JBoss Application Server Messaging Server  JBoss MQ Communications  GNU’s RTXTComm APIs  OpenNMS’s JoeSNMP Scheduling  Quartz Utilities  Apache Ant, Commons, JMeter, Logging, Velocity Operating System  RedHat Linux Enterprise

slide 25 Map Navigator

slide 26 Status Console

slide 27 View Segment Detail

slide 28 View Route Detail

slide 29 View AVI Detail Screen

slide 30 View RTMS / Ramp Meter Screens

slide 31 Camera Tours Video content Route data

slide 32 CDOT TOC

slide 33 References Dion, Francois, and Rakha, Hesham “Estimating Dynamic Roadway Travel Times using Automatic Vehicle Identification Data for Low Sampling Rates” CDOT Reading Room Enroute Traffic Inc.