THE APPLICATIONS OF ADVANCED TECHNOLOGIES TO AUTOMATE TRAVEL TIMES Port Aransas Ferry Operations Project
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1 THE APPLICATIONS OF ADVANCED TECHNOLOGIES TO AUTOMATE TRAVEL TIMES Port Aransas Ferry Operations Project America B. Garza, P.E. Corpus Christi District October 15, 2014
2 Presentation Agenda 1 Introduction Past Present Future Conclusion 34 6 Contact Information 35 7 Safety Note 36 2
3 Port Aransas Ferry Facts: Aransas Pass 8 Ferries 24-7 Operation Corpus Christi Port Aransas Over 2 million passengers per year ¼ mile route (one way) takes less than 10 min. but varies during peak season 3
4 Calculation of Travel Times 4
5 Past - Ferry Operations 1980 s,90 s,00 s 1940 s 1950 s,60 s, 1950 s,60 s, 1940 s Today 1940 s 1920 s 1930 s 70 s 70 s 5
6 Past-How travel times were calculated I. The Strategy Asking the Traveling Public Landmarks Using PTZ Cameras Employees feedback after shift work II. Communication Radio travel time to dispatcher Update TxDOT website & City website PCMS before DMS 6
7 Calculation of Travel Times 7
8 Present - Bluetooth and Wi-Fi The Pilot Test I. Location Map of readers Port Aransas Harbor Island II. Travel Time Calculations Travel Time Segments Bluetooth and Wi-Fi..How does it work? III. Reads and Matches Bluetooth vs Wi-Fi 8
9 Present- Bluetooth-Location Map Key Port Aransas Bluetooth location 9
10 Bluetooth Set Up-DMS Cabinet Bluetooth Reader Cell Modem Bluetooth Antenna 10
11 Present- Wi-Fi Locations Key Port Aransas Wi-Fi Bluetooth location 11
12 Present- Wi-Fi TTI AWAM Suitcase Deployment Temporary deployment began June 23, portable suitcases Battery powered Battery Life up to 2 weeks Small solar panels that provide battery charging 12
13 Present- Wi-Fi Readers Travel Times 3 Wi-Fi Readers Converted suitcases to semi permanent Installed at traffic signal cabinets Better Power Supply Travel Time studies Aransas Pass to Port A (SH 361 SB) 6.9 miles Port A to Aransas Pass (SH 361 NB) 7.7 miles 13
14 Wi-Fi TTI Set Up in Traffic Signal Cabinet Cell Modem Antenna Processor Wi-Fi Reader 14
15 Address Matching Concept Roadside Detection Station A CPU Processor Wi-Fi/Bluetooth Radio Adapter 2.4 GHz Antenna Field Software Component Roadside Detection Station B CPU Processor Wi-Fi/Bluetooth Radio Adapter 2.4 GHz Antenna Field Software Component MAC Address Detector ID Timestamp MAC Address Detector ID Timestamp MAC Address Matching Software Data Collection Server Travel Time Algorithm Data Archival Enabled Devices A to B Travel Time: 1 Minute Speed: 60 MPH 15
16 TTI AWAM Bluetooth and Wi-Fi Bluetooth Versus Wi-Fi Detection Bluetooth Continually scans for devices in proximity Wi-Fi Continually listens for devices in proximity *The results of this are that the re-identification rate of Wi-Fi devices are much lower than that of Bluetooth (it turns out that this doesn t matter). TTI Research, (Wi-Fi Anonymous Wireless Address Matching (AWAM) ) 16
17 TTI Wi-Fi Usage Recommendations Because of the detection method, the slower the traffic, the more devices Wi-Fi detects. TTI Research, (Wi-Fi Anonymous Wireless Address Matching (AWAM) ) 17
18 TTI Wi-Fi 24hr Reads- All Location Totals 200,000 Wi-Fi Reads -- Port Aransas-Aransas Pass Ferry System -- All Location Totals 175, , , ,000 75,000 50,000 25,000 0 ** initial suitcase system consisted of 6-reader locations -- only 3 installed after moving to cabinets on TTI Research, (Wi-Fi Anonymous Wireless Address Matching (AWAM) ) 18
19 TTI Wi-Fi - Matches 19
20 Bluetooth - Matches 20
21 Bluetooth & Wi-Fi Matches SH 361 South Bound July 4th Aransas Pass ferry Landing to Cotter-Cut Off TTI Research, (Wi-Fi Anonymous Wireless Address Matching (AWAM) ) 21
22 Calculation of Travel Times 22
23 Future - Automation of Travel Times To DMS 23
24 Future - Automation of Travel Times to DMS 24
25 Future - Automation of Travel Times to DMS 25
26 Future - Automation of Travel Times to DMS 26
27 Existing and Proposed Dynamic Message Signs Key Note: For proposed DMS locations, the phase I solution will be portable changeable message signs (PCMS) deployed under a trial basis. In Phase II, the new DMS will be deployed. 27
28 Future Ferry Operations Queue During Peak Holiday Queue Lengths at Peak Hours ~ 1 mile on SH 361 ~.5 mile on stacking loop ~.25 mile on W.Cotter St. Total Queue Lengths =~360 Veh 28
29 Future TTI VISSIM Model for Queue during Peak Holiday 29
30 Future Proposed Ferry Operations Layout Proposed Stacking Area plus boarding area = ~ 464 vehicles 30
31 Future Proposed Ferry Ops. TTI VISSIM Model 31
32 Future TTI VISIM Model Proposed Ferry Ops Layout 32
33 Future Why not build a bridge? MAJOR traffic coming through! 33
34 Conclusion Despite the low re-identification rate, the sheer volume of Wi-Fi devices provides adequate sample sizes Wi-Fi is an acceptable standalone or complementary tool to Bluetooth address matching Wi-Fi could be used as a supplement to Bluetooth to increase sample sizes Provide OD data for transportation planning + Wi-Fi = More Data Monitor average speed of vehicles in highways Provide travel times 34
35 Contact Information America B. Garza 35
36 Safety Note.. FROM MY FAMILY TO YOURS. QUESTIONS? 36
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