Advancing transportation in Uganda with automation, connectivity and intelligence

Abstract

Vehicle crashes on roads and highways cost Uganda’s economy billions of shillings through loss of human resource, property and infrastructure. According Uganda traffic police reports and other observers, most of road fatalities are attributed to human errors i.e. Driver Non Compliance (DNC) including over speeding, not following road signs and reckless driving among others. In this project, we introduce the concept of cooperative driving techniques through Connected Vehicle to road infrastructure communication for future driver assistance to improve driver road compliance (DRC). The research has developed vehicle to infrastructure (V2I) models including vehicle to traffic lights communication, vehicle to digital road side sign communication (Zebra crossing ahead, Accident ahead, humps ahead and speed limit notification) using enhanced RF data transmission. This project builds on recent work that focused on making ODB2 data available in V2V infrastructure. The project also focused on creating a web based platform that will allow centralized access of emergency data e.g. accidents if any for faster emergency response