The rapid growth of GPS technology and mobile devices has led to a massive accumulation location data, bringing considerable benefits individuals society. One the major usages such data is travel time prediction, typical service provided by navigation apps. Meanwhile, constant collection analysis individual also pose unprecedented privacy threats. We leverage notion geo-indistinguishability, an...

In recent years, governments applied intelligent transportation system (ITS) technique to 8 provide several convenience services (e.g., garbage truck app) for residents. This study proposes a 9 garbage truck fleet management system (GTFMS) and data feature selection and data clustering 10 methods for travel time prediction. A GTFMS includes mobile devices (MD), on-board units, fleet 11 manageme...

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity traffic states, however, makes this a challenging task. Here we propose use dynamic linear models (DLMs) approximate the non-linear states. Unlike static regression model, DLMs assume that their parameters are changing across time. We design DLM with model defined at...

We present a system that displays travel time predictions in real time on changeable message signs (CMS) in California. Using loop detector data, this system calculates predicted travel times on designated routes every five minutes. An automated process displays the current travel time predictions on the appropriate CMS’s. We demonstrate the benefits of real time travel time prediction. Histori...