Feasibility of Using Cellular Telephone Data to Determine the Truckshed of Intermodal Facilities

This paper analyzes the feasibility of using cellular telephone location data to determine the geographic extent of trucks from intermodal facilities. The feasibility analysis includes three aspects: location technology, cell phone penetration, and truck tracking methodology. As the results shows, the cell phone location technology is able to provide accurate location data. It can provide updated location information with no time limitation. Cell phones could be located within an average of 100 meters or less of their actual position. Although only partial cell phone data are available for the truck tracking system, a larger sample size is expected during a longer time period observation when more cell phone data are integrated. The principle and process of truck filtering and tracking from the cell phone database was proposed in this study. To extract trucks from the cell phone data, the analysis network should be categorized into several types of regions based on the land use and truck movement characters. In principle, those tracked cell phones frequently located around truck stops and traveling along the Intestate routes are considered as trucks. Further field study is needed to verify the accuracy of the truck identification and derive the calibration factor for generating truck trips using cell phone location data.

[1]  Randall Cayford,et al.  Investigation of Vehicles as Probes Using Global Positioning System and Cellular Phone Tracking: Field Operational Test , 2001 .

[2]  Han Zhang,et al.  CELLPHONE PROBES AS AN ATMS TOOL , 2003 .

[3]  Joaquim Marques de Sá,et al.  Data Structure Analysis , 2003 .

[4]  Stephen Hargitay,et al.  The feasibility analysis , 1991 .

[5]  Robert Brewer,et al.  Evaluation of Cell Phone Traffic Data in Minnesota , 2008 .

[6]  Hillel Bar-Gera,et al.  Evaluation of a Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel , 2007 .

[7]  Youngbin Yim,et al.  Travel Time Estimation on the San Francisco Bay Area Network Using Cellular Phones as Probes , 2000 .

[8]  Randall Cayford,et al.  OPERATIONAL PARAMETERS AFFECTING THE USE OF ANONYMOUS CELL PHONE TRACKING FOR GENERATING TRAFFIC INFORMATION , 2003 .

[9]  Brian Lee Smith,et al.  Wireless Location Technology–Based Traffic Monitoring , 2007 .

[10]  Daehyun Kim,et al.  Dynamic Origin–Destination Flow Estimation Using Cellular Communication System , 2008, IEEE Transactions on Vehicular Technology.

[11]  Brian Lee Smith,et al.  Final Report NCHRP 70-01 PRIVATE-SECTOR PROVISION OF CONGESTION DATA , 2007 .

[12]  J. White,et al.  Extracting origin destination information from mobile phone data , 2002 .

[13]  Youngbin Yim,et al.  Field Operational Test Using Anonymous Cell Phone Tracking for Generating Traffic Information , 2006 .

[14]  J. Fortenberry,et al.  International Journal of Health Geographics Open Access Using Gps-enabled Cell Phones to Track the Travel Patterns of Adolescents , 2022 .

[15]  Johan Wideberg,et al.  Deriving origin destination data from a mobile phone network , 2007 .

[16]  Yilin Zhao,et al.  Mobile phone location determination and its impact on intelligent transportation systems , 2000, IEEE Trans. Intell. Transp. Syst..

[17]  Mark J Funt Technical analysis. , 2010, Pennsylvania dental journal.

[18]  David J. Lovell,et al.  ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS , 2001, J. Intell. Transp. Syst..

[19]  Albert-László Barabási,et al.  Understanding individual human mobility patterns , 2008, Nature.

[20]  Bell Atlantic Nynex Mobile Final evaluation report for the CAPITAL-ITS operational test and demonstration program , 1997 .

[21]  Tsu Chin,et al.  California Partners for Advanced Transit and Highways (PATH) , 2004 .

[22]  Han Zhang,et al.  Wireless Location Technology-Based Traffic Monitoring: Critical Assessment and Evaluation of an Early-Generation System , 2004 .