Qi Liu developed an algorithm to estimate transit passenger flows at a network level (the first of its kind) using stop count data (e.g. Transit Wireless, smartcard data, etc.). Testing on Shanghai bus data in Qingpu District with 4 bus lines and 120 segments, we show the algorithm leads to average of the segment flows that are only 2.6% off from the average of the observed flows. Code is available on Github and should be of interest to transit operators (e.g. NYC Transit Authority). Funding support from C2SMART and U.S. National Science Foundation (NSF) CMMI-1652735.

Paper link: https://www.tandfonline.com/doi/abs/10.1080/21680566.2022.2060370