Bayport Case Study
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Test and evaluation of Bluetooth® technology for measuring freight facility traffic flows: Bayport case study March 2015 Saving Lives, Time, and Resources This page deliberately blank Test and evaluation of Bluetooth® technology for measuring freight facility traffic flows: Bayport case study by David H. Bierling, PhD C. James Kruse Tony P. Voigt, PE, PTOE Michael J. Vickich Jonathan M. Tydlacka, PE Ryan C. Skinner Project performed by Texas A&M Transportation Institute Project performed for: Port of Houston Authority, and Texas Department of Transportation Originally published DECEMBER 2014 Updated MARCH 2015 Prepared by Texas A&M Transportation Institute 2929 Research Parkway College Station, Texas 77843-3135 TEXAS A&M TRANSPORTATION INSTITUTE The Texas A&M University System College Station, Texas 77843-3135 Cover Photo: Texas A&M Transportation Institute This page deliberately blank TABLE OF CONTENTS Page LIST OF FIGURES .................................................................................................................... vi LIST OF TABLES ....................................................................................................................... vi ACKNOWLEDGEMENTS AND DISCLAIMER ................................................................... vii ABSTRACT ........................................................................................................................ viii 1. INTRODUCTION AND OVERVIEW ................................................................................... 1 1.1 Introduction ........................................................................................................................... 1 1.2. Project Objective and Goals ................................................................................................ 3 1.3. Organization of Report ........................................................................................................ 3 2. BLUETOOTH TECHNOLOGY AND TEST CONFIGURATION .................................... 4 2.1. Bluetooth Technology .......................................................................................................... 4 2.2. Bayport Facility ................................................................................................................... 7 2.3. Test Set-Up for Identifying Bayport Trucks ........................................................................ 9 2.3.1. Bluetooth Readers in Bayport Terminal ....................................................................... 9 2.3.2. Video Recorders and Bluetooth Readers on Port Road .............................................. 10 2.4. Test Set-Up for Determining Truck Transportation Patterns ............................................ 14 2.5. Test Set-Up for Determining Truck Traffic Levels ........................................................... 17 3. TEST AND EVALUATION OUTCOMES .......................................................................... 18 3.1. Bluetooth Signal Identification as Heavy-Duty Container Trucks .................................... 19 3.1.1. Truck Identification Using Bluetooth Reader Network Information .......................... 19 3.1.2. Truck Identification Using Video Recording Data and Bluetooth Reader Information on Port Road ..................................................................................................... 20 3.2. Percentage of Bayport Trucks Utilizing Bluetooth ............................................................ 21 3.3. Transportation Patterns of Bayport Trucks Utilizing Bluetooth ........................................ 22 3.4. Heavy-Duty Truck Traffic Levels on SH 225 and SH 146 ............................................... 23 3.5. Percentage of Heavy-Duty Truck Traffic on SH 225 and SH 146 Associated with Bayport Container Shipments .............................................................................................. 27 4. CONCLUSIONS AND RECOMMENDATIONS ................................................................ 28 4.1. Conclusions ........................................................................................................................ 28 4.2. Recommendations .............................................................................................................. 30 APPENDIX A. BLUETOOTH SIGNAL AND NETWORK ANALYSIS DATA................. 31 REFERENCES ......................................................................................................................... 49 Texas A&M Transportation Institute Page v LIST OF FIGURES Page Figure 1. Freight-Significant Corridors and Facilities in Houston MSA (Source: Cambridge Systematics Inc., as cited in H-GAC Regional Goods Movement Plan). ................................................................................................................................... 2 Figure 2. Bluetooth Data Flow Process for Collection and Analysis of Traffic Data. ................... 6 Figure 3. Typical Truck Traffic Pattern at Bayport Container Terminal (background image source: Google Earth with aerial photo by Landsat). ............................................... 8 Figure 4. ‘Entry-A’ Bluetooth Reader Location in Bayport Terminal, Facing South toward Bayport Entry Gate and Port Road (Source: TTI). ............................................... 11 Figure 5. Bluetooth Reader Locations in Bayport Facility and on Port Road near Bayport (Source: Google Earth with aerial photo image by Landsat). ........................................... 12 Figure 6. ‘Ref-1’ Video Data Collection and Bluetooth Reader Location on Port Road near Bayport Terminal (Source: TTI). .............................................................................. 13 Figure 7. Bluetooth Reader Locations in Bayport Area (Source: Google Earth with Aerial Photo Image by Landsat). ................................................................................................. 15 Figure 8. Bluetooth Reader Locations along U.S. and Interstate Highways in Houston MSA (Source: Google Earth with aerial photo image by Landsat). ................................. 16 Figure 9. Locations of TXDOT Traffic Cameras on SH 225 and SH 146 Used for Video Data Collection (Source: Houston TranStar Traffic Map, Bing Maps Interface; labels added using information from TXDOT traffic camera IDs). ................................. 17 Figure 10. Truck Traffic and Container Truck Traffic Counts on SH 225 for 9 a.m. to 5 p.m. on August 22, 2014. .................................................................................................. 24 Figure 11. Truck Traffic and Container Truck Traffic Counts on SH 146 for 9 a.m. to 5 p.m. on August 22, 2014. .................................................................................................. 25 LIST OF TABLES Page Table 1. Bluetooth Data Collection Locations and Equipment Set-Up. ....................................... 18 Table 2. Recorded Number of Visits by Trucks to Bayport on August 22, 2014. ........................ 22 Table 3. Truck Counts by Configuration and Type on SH 225 for 9 a.m. to 5 p.m. on August 22, 2014. ............................................................................................................... 26 Table 4. Truck Counts by Configuration and Type on SH 146 for 9 a.m. to 5 p.m. on August 22, 2014. ............................................................................................................... 26 Texas A&M Transportation Institute Page vi ACKNOWLEDGEMENTS AND DISCLAIMER This project was funded by the Port of Houston Authority (POHA), with matching funding provided by the Texas Department of Transportation (TXDOT), Houston District. David Bierling was Texas A&M Transportation Institute’s (TTI’s) Principal Investigator (PI) and Jim Kruse was co-PI for project activities sponsored by POHA. Tony Voigt was PI for project activities sponsored by TXDOT. Additional TTI project contributors were Darrell Borchardt and Darryl Puckett for technology configuration and preparation, Jeffrey Warner, Huzaifa Asghar- Ali, Omar Mata, and Paul Adamson for data collection, and Annie Protopapas for data analysis. Project coordinators for POHA were Charlie Jenkins, Kenneth Gathright, and Lily Wells. Coordination for the Bayport Container Terminal and associated data were provided by Ryan Mariacher and Easton McIntosh. Alan Clark of Houston-Galveston Area Council (H-GAC) and Andrew Mao of TXDOT also provided input and support for the project concept. The findings presented in this report are the opinions of the authors and do not reflect those of POHA, TXDOT, or H-GAC. Texas A&M Transportation Institute Page vii ABSTRACT This project was a test and evaluation of Bluetooth technology for identifying container truck traffic at the Port of Houston Authority Bayport Container Terminal and truck utilization of roadways in the Houston area. The project demonstrated that Bluetooth technology can be used to collect information about vehicles calling at the Bayport terminal and other locations on roadways in the Houston MSA. The information can be compiled, ordered, and analyzed to determine traffic patterns for these vehicles and identify, based on those traffic patterns, which vehicles are likely to be container trucks. A 10 percent level of penetration of Bluetooth readings in the overall truck traffic flow into and out of Bayport was recorded. Texas A&M Transportation Institute Page viii 1. INTRODUCTION AND OVERVIEW 1.1 INTRODUCTION This report presents the