Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making (2020) / Chapter Skim
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Pages 95-107
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From page 95... ...
88 Appendix C – Telephone Interview Findings The purpose of the telephone interviews was to enable the research team to learn more about a specific technology project, the data collected, and the way in which the data were being managed by the project team or supporting consultants/vendors. In all, 11 telephone interviews were conducted with individuals from the following agencies: □ City of Las Vegas □ City of Los Angeles Department of Transportation (LADOT)
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From page 96... ...
89 to the system each week by the automated shuttle vendor to very large amounts of streaming data from LiDAR and other sensors. One improvement in progress for the city is to move towards edge computing to better handle the large volume of data and improve data streaming speeds.
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From page 97... ...
90 Like many transportation agencies, LADOT has taken a particular focus on protecting privacy in the data they collect and analyze. This can involve a balancing act where they need to clearly communicate to the public about what data are collected, how they are collected, and whether or not they are openly accessible while not revealing too much about the nature of the sensitive data.
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From page 98... ...
91 When faced with the decision of gathering more raw data for analytics use or restricting the amount of data obtained to avoid PII, the city of Portland has strongly chosen to avoid PII risk. To accomplish this, video data gathered from sensors are deleted within one second of recording, and vendors are requested to aggregate the data they send to the city to keep it from becoming identifiable in some way.
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From page 99... ...
92 DelDOT participates in an "open data council," and like many other agencies is working through the process of deciding what exactly their long-term open data policy will be. In the meantime, they are known to provide their data streams for free to partner agencies and other researchers who ask for them.
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93 online and includes detailed policy on data access and sharing. Their goal is to eventually implement a subscription-based model for sharing their data.
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94 GDOT would like to see improvements in data quality capabilities, as currently there are unresolved data quality issues with the GPS data, yet there were no data quality metrics or dashboards available at the time of the interview. GDOT is also highly concerned with securing the data against attack and safeguarding PII during the collection process.
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From page 102... ...
95 made easy through the availability of purpose-built APIs, though to protect the speed and integrity of the database, nearly all access is limited to only a particular view of the data rather than accessing the entire database itself. Though INDOT's data management is perhaps more advanced than most, there are still some common challenges as they maintain and expand upon their capabilities.
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From page 103... ...
96 most advanced data users. As part of their efforts to decentralize access to data, they hope to install a free version of Microsoft's Power BI Desktop on the work machines of all 3,900 potential users at KYTC.
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From page 104... ...
97 the data and performance measures. More recently, KYTC obtained access to an API that allowed them to pull the raw data into their data lake.
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From page 105... ...
98 a batch process, making streaming analysis of the data impossible. The software used to provide the data is proprietary to Via.
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From page 106... ...
99 quality concerns there is already a screening process in place to identify and remove poor quality data, but it is still being improved and expanded as the projects mature and develop. These examples in data quality and data security are specific elements of a broader challenge facing TxDOT as they move forward: establishing and formalizing a set of data standards.
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From page 107... ...
100 automated data quality monitoring or visualizing. Their data are secured against unauthorized or anonymous use, however granting access to the data is a fast and painless process.
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