Dynamic Travel Information Personalized and Delivered to Your Cell Phone: Addendum

Details

• Creators:
  Barbeau, Sean J. ; Georggi, Nevine ; Winters, Philip
• Corporate Creators:
  National Center for Transit Research (U.S.) ; University of South Florida. Center for Urban Transportation Research
• Corporate Contributors:
  Florida. Department of Transportation
• Subject/TRT Terms:
  • Public transit
  • Cellular telephones
  • Wireless communication systems
  • Local transit--Florida--Information services
  • Cell phones--Florida
  • Wireless communication systems--Florida
• Publication/ Report Number:
  USF 21177804
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida
• OCLC Number:
  724055804
• Edition:
  Addendum.
• Corporate Publisher:
  National Center for Transit Research (U.S.)
• NTL Classification:
  NTL-PUBLIC TRANSPORTATION-PUBLIC TRANSPORTATION ; NTL-PUBLIC TRANSPORTATION-Transit Planning and Policy
• Abstract:
  Real-time travel information must reach a significant amount of travelers to create a large amount of travel behavior change. For this project, since the TRAC-IT mobile phone application is used to monitor user context in terms of location, the mobile phone application should be targeted to span across many different cellular carriers and various mobile device manufacturers. The Java programming language is the most platform-independent programming language for mobile devices that reaches the most phones from different manufacturers and on different cellular networks. Java Micro Edition (Java ME) has been the Java-programming platform of choice from early 2001 through 2009 and was used to implement the initial mobile phone version of TRAC-IT.
• Format:
  PDF
• Funding:
  BDK85 TWO 977-14
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/20405/dot_20405_DS1.pdf
• File Type:
  [PDF - 2.70 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:cc2d6995ffc6dec4ec0ef61837ca36cd7be323bf38a9cd1bdb9f40d7b259b6765bc15804003fa5da9c6a23899ae723e9259e3473212b4adc7c9a9b4e51694819