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NextStop Detroit

b0796152-5675-4341-8916-bbc85890311b-IMG-2713.webp

Project Overview

Integrate traffic flow data, weather conditions and bus position to deliver a tool that allows riders to get an estimate on what time the bus will arrive with a kiosk style display at bus stops. Integration with Watsonx.AI to summarize traffic volume, delays and weather condition effects on route.

Objective

We’re not just showing a new ETA. We’re providing disruption forecasting

Train the model to predict the probability of a delay exceeding 10 minutes (a critical threshold for riders), and use a Generative AI to frame the output as a rider alert (e.g., "Due to heavy rain and congestion on Woodward, Route 4 is expected to be 18 minutes late. Alternative: Walk to the QLine stop 5 minutes away").

Resources:

Detroit Open Data Portal

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Full-stack Spring Boot application for DDOT bus delay prediction considering weather and traffic metrics

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