Posts

  • I'm headed to TRB 2019 as an Eisenhower Fellow!

    I am deligted to have recieved a Dwight David Eisenhower Transportation Fellowship this year! In addition to providing tuition support, the fellowship fully funds my participation in the 2019 Transportation Research Board Conference.

  • Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings

    Efforts to measure mobility in cities though mining increasingly available urban data are hindered by fragmented and purpose-specific data sources. Synthesizing disparate data sources to learn transportation network behavior is essential to more accurately simulate the consequences of changes in policy or in the built environment. In this paper1 Zheng et. al. show that building occupancy data estimated from existing building sensor can improve the accuracy of traffic speed predictions. More impressively, they show that occupancy data alone can predict traffic as well as dedicated traffic monitoring systems for a fraction of the cost.

    1. Zheng, Z., Wang, D., Pei, J., Yuan, Y., Fan, C., & Xiao, F. (2016). Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM ’16 (pp. 1363–1372). https://doi.org/10.1145/2983323.2983357. pdf

  • TRB 2018 Recap

    I had a fantastically fulfilling and enriching experience at the 2018 Transportation Research Board conference last week. This document is an attempt to collect my notes and thoughts on selected research from the sessions I was able to sit in on.

  • TRB 2018!

    With TRB 2018 only a few days away I thought I’d share a few of the sessions I’m particularly eager to attend.

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