The application period for this challenge is now closed

  • Governer Partner :City of San Diego
  • Department :Economic Development and Transportation and Storm Water Departments
  • Category :Data Analytics, Data Collection / Security, Geo Services, IoT, Mobility

Project Summary

Sensor and data analytics platform for multi-modal transit to help urban planners.

Challenge Details

To improve the ability of urban planners and transportation engineers to optimize installation of existing and/or future bike lane(s), bicycle/scooter sharing locations in relation to MTS mass transit system and community-based interest centers.

The City recognizes that there are several active modes of available transportation (i.e. pedestrians, bicycle, scooter) that are non-polluting, energy- efficient and versatile. San Diego is in a unique position to capitalize on enhancing these modes of active transportation due to our temperate climate, grid-based street network in the urban core, parks and trails. Currently, urban planners in the region do not have adequate tools to determine the availability, viability and accessibility of existing and/or future bike lane(s), bicycle/scooter sharing locations.

San Diego is currently installing streetlights with energy-efficient LED bulbs and 3,200 smart sensors/nodes, implementing what will be the world’s largest urban IoT platform. These smart sensors are equipped with several features such as cameras, thermometer, barometer, hygrometer, accelerator (3-axis), acoustical sensor (noise, firearm discharge detection).

Economic Development and Transportation and Storm Water Departments seek a software solution that would have the following outcomes:
• Utilize machine learning, image recognition, and/or cellular data analysis to
differentiate, track, and count separate modes of active transportation modalities (i.e. pedestrians, bicycle, scooter).
• Predictive analytics to optimize installation of existing and/or future bike lane(s), bicycle/scooter sharing locations in relation to MTS mass transit system and community-based interest centers (e.g. Rec centers, and library centers, community parks, employment centers and high density residential communities).
• Develop baseline data for active transportation analysis as it relates to transportation planning and the City’s Climate Action Plan (CAP) analysis.