Endpoint
An API endpoint that receives the CLIENT_LOCATION and returns top-n DEVICE_LOCATIONs closest to it at TIME t via a simple postgres spatial query. At the moment, we use AWS Lambda functions connected to an API Gateway to achieve this.
Evaluation of the results
6 Conclusion
[1] Brakewood, C., Gregory S.M, Watkins, K. (2015).
"The impact of real-time information on bus ridership in New York City". Transportation Research Part C: Emerging Technologies. Volume 53. https://doi.org/10.1016/j.trc.2015.01.021
[2] Coyne, A. (2014). Melbourne takes second stab at GPS bus tracking. iTnews.com.au. Available at: https://www.itnews.com.au/news/melbourne-takes-second-stab-at-gps-bus-tracking-381093
[3] Lei Tang, Piyushimita (Vonu) Thakuriah. (2012)
"Ridership effects of real-time bus information system: A case study in the City of Chicago", Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2012.01.001
[4] Watkins, K. , Ferris B., Borning, G.S.R , Layton D., (2011). Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders". Transportation Research Part A: Policy and Practice. Volume 45. Issue 8. Pages 839-848. ISSN 0965-8564. https://doi.org/10.1016/j.tra.2011.06.010.
[5] Zhang, F., Shen, Q., & Clifton, K. J. (2008). "Examination of Traveler Responses to Real-Time Information about Bus Arrivals using Panel Data". Transportation Research Record, 2082(1), 107–115. https://doi.org/10.3141/2082-13