Use and Deployment of Mobile Device Technology for Real-Time Transit Information (2011) / Chapter Skim
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Pages 24-32
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In terms of the types of real-time information, the most prevalent information that is updated on an ongoing basis is next vehicle arrival/departure prediction time, followed by information on planned detours, display/announcement of the current route and destination, identification of service disruptions, and schedule information during special events. As expected, the most prevalent information that is updated based on a specific threshold or time period is next vehicle arrival/departure prediction time.
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First, the survey results indicated that 17 of the 28 respondents decided to deploy real-time transit information on mobile devices to augment providing real-time information by means of TABLE 2 UNDERLYING TECHNOLOGY USED BY SURVEY RESPONDENTS Technology No. of Respondents Automatic vehicle location (AVL)
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. Second, 11 of the 28 respondents decided to deploy real-time transit information on mobile devices as a more cost-effective way of providing real-time information.
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. Third, only four of the 28 respondents conducted a study to determine whether or not to deploy real-time transit information on mobile devices.
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26 FIGURE 22 Typical mobile environment using SMS. [Source: (55)
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This response was expected, given that the majority of the respondents provide information that is independent of mobile phone carriers. CHARACTERISTICS OF REAL-TIME INFORMATION PROVIDED ON MOBILE DEVICES The survey and literature review provided extensive information on the characteristics of the information provided on mobile devices.
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. The survey asked whether the responding agency thought that real-time information should be provided on mobile devices by means of a "pull" action (e.g., accessing a mobile website and making a selection)
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. • Mobile formatting standards: – XHTML Mobile Profile, which is a subset of XHTML that supports features for mobile devices; – Standard hypertext transfer protocol (http)
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30 • Agencies use experience data (how much time it takes for the bus to go from one stop to the next) for routes at different times during different day types.
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