A data-driven approach to mapping and route planning by Luís Rita | Data Makers Fest 23 скачать в хорошем качестве

A data-driven approach to mapping and route planning by Luís Rita | Data Makers Fest 23

This talk considers a data-driven approach to safety mapping and intelligent route planning in Lisbon. Micromobility proposes a sustainable alternative to traditional urban transportation, actively seeking to decrease emissions and promote more active lifestyles. However, ensuring the safety of these users, particularly cyclists in urban landscapes, continues to be a significant challenge. In 2019, there were 2000 cyclists killed in the European Union. To confront this issue, the current study is devoted to pinpointing unsafe points and neighborhoods while providing the safest routes with a purposely designed route planner based on the most up-to-date Lisbon cycling network. State-of-the-art object detection (YOLOv5), image segmentation (NVIDIA Semantic Segmentation), and an in-house developed neural network (Bikeable) were employed to predict from Google Street View images the dangerous points for cycling. And, while considering all the classified points, the safest and unsafest neighborhoods were identified in Lisbon. This unique methodology served a dual purpose: to generate comprehensive safety maps and, as importantly, to recommend personalized routes (OpenRouteService), factoring in distance, travel time, and safety. The finds of routeplanner.cycleai.net underline the transformative potential of data-driven tools in reshaping urban mobility. ::::::: If you love watching talks like this one, consider joining us in person at the next event: www.datamakersfest.com 👉 FOLLOW US Instagram:   / datamakersfest   LinkedIn:   / data-makers-fest   Our channel features talks for anyone building products and services with and around data. Subscribe to our channel for videos on Data Science, Machine Learning, AI, Data Engineering, and more. Data Makers Fest videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non-Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International). To use the talk for other purposes, please contact us at [email protected]. #datamakersfest #datascience #ai #machinelearning #dataengineering