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Evidence of Work

VSafeRoute

Project Info

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Team Name


FedTech


Team Members


Nit , Tristan Tran , Divi , Tanmoy749

Project Description


VSafeRoute is an AI-powered web application designed to improve cycling safety and infrastructure in Victoria. By integrating Victoria Crash Data with the Principal Bicycle Network (PBN) data, the app identifies high-risk routes for cyclists and provides data-driven insights to guide infrastructure modifications. These insights enable urban planners and policymakers to make evidence-based decisions, promoting safer and more sustainable cycling routes. The project aims to enhance the state's cycling corridors, reduce accident hotspots, and encourage cycling as a sustainable mode of transportation.


#cycling safety #sustainable transport #ai-driven solutions #data insights #infrastructure development #multi-agent ai systems #road safety.

Data Story


  • Victoria Crash Data combined with Principal Bicycle Network (PBN) data to improve cycling safety and infrastructure.

  • By integrating these datasets with real-time spatial data and multi agent AI-based web applications, our team identified high-risk routes for cycling

  • This insight led to targeted infrastructure modifications, improving cyclist safety and promoting cycling as a sustainable transportation option.

  • Reusing existing data enabled efficient, data-backed decisions without needing new data collection.


Evidence of Work

Video

Project Image

Team DataSets

Victoria Road Crash Data

Description of Use To get all crash data that related to bike

Data Set

Principal Bicycle Network (PBN)

Description of Use To get all bicycle network in Victoria.

Data Set

Challenge Entries

Smart Mobility: Optimizing Urban Infrastructure for a Sustainable Future

How might we use data insights to promote the development of sustainable urban infrastructure and reduce dependency on private vehicles?

Go to Challenge | 26 teams have entered this challenge.

AI applications using Open Road Crash data

How might we leverage road crash statistics and multi-agent AI-based web applications to enhance road safety and inform policy making?

Go to Challenge | 13 teams have entered this challenge.

Forecasting Community Evolution: Leveraging AI and Historical Planning Data

How might we predict future changes in community dynamics, such as population density, housing demand, traffic patterns, and the demand for public services or amenities?

Go to Challenge | 13 teams have entered this challenge.