Arcweb Technologies developers — many of them commuters themselves — just launched Traveler, a mobile app that uses predictive analytics to forecast whether or not your train home will be delayed due to weather.
Using SEPTA’s open API, the app uses machine learning to make predictions on weather-related train delays before they pop up on SEPTA’s official app. The system analyzes historical train arrival and departure stats and current and past weather conditions to make the forecasts.
Traveler is a product of ArcWeb Technologies Lab, comprised of devs Mike Balcerzak, Ryan O’Boril, Greg Bright, Shahrukh Tarapore, Erik Mulvaney, Ryan Sailor and Jeffrey Lunger. Tarapore, ArcWeb’s head of engineering, said the Lab is an initiative that’s currently being formalized but has more projects coming through the pipeline.
“We built Traveler to help Regional Rail riders get to their destinations on time,” Lunger said in an email. “As a rider myself, this is always a challenge. As a team, Traveler was a great way experiment with React Native.”
Though the app was not developed for SEPTA, Lunger did drop a hint on his blog post:
“Full disclosure: Arcweb Technologies did not build this app for SEPTA, nor is SEPTA an Arcweb Technologies client. But, SEPTA, we’re always open to chat!”