Relevant Research
In 2014, AT&T teamed up with a research team at NYU’s Polytechnic School of Engineering to explore the issue of traffic and pedestrian safety in the NYC urban environment. Together, they created a paper entitled, “Exploring how mobile technologies impact pedestrian safety.”
The paper analyzes the impact of vehicle-pedestrian collisions, provides a synopsis of the livable streets movement in NYC, dives into research on pedestrian smart phone use and distraction, and reviews current mobile technologies that aim to promote traffic safety and reduce smart phone distraction. The paper is a recommended resource for participants who are unacquainted with issues of traffic safety related to smart phone distraction.
APIs & Data
Although no specific API or data integration is required, participants will need to explain how their solution is relevant to the goal of reducing collisions between vehicles and pedestrians (including cyclists) in urban street environments.
Here are a few APIs, datasets, and studies you might find useful:
- NYPD Motor Vehicle Collisions
- NYC Department of Transportation Open Data
- AT&T Speech API
- Citi Bike System Data
- National Highway Traffic Safety Administration Data
- NYPD Crash Data Band-Aid
- NYCpedia
- New York's Open Data Portal
- Highlights of the 2001 National Household Travel Survey
- Sustainable Streets 2013 and Beyond
- Pedestrian-Cyclist Accidents in New York State: 2007-2010
- Dedicated Short Range Communications FAQ
- Google Glass SDK
- Pebble SDK
- Thalmic Labs SDK
- Vision Zero
- Samsung Wearables SDK
- Android Wear Developer Preview
- Natural User Interface for Kinect for Windows
- WiFi Peer-to-Peer API
- Windows Sensor API
- Android Sensor API
- Hover for Arduino
- Adafruit Flora (Wearables Microcontroller)
- Adafruit Gemma (Wearables Microcontroller)
- Arduino LilyPad (Wearables Microcontroller)
- Adafruit BlueFruit LE (BLE Interface)
- Android Bluetooth Low Energy API
- IOS Bluetooth Low Energy API
- Windows Bluetooth Low Energy API
- IOS Development Center (Apple)
- OpenLTE (3GPP Implementation)
- Instagram API
- Twitter API
- Google Maps API
- NYC Real-Time Traffic Cameras (DOT)
- Traffice Intelligence Project
- Transims (Open Source Traffic Modelling)
Solution Approaches
Still not sure how to best approach your solution? Consider including functionality that:
- Reduces multiple types of distraction (visual, manual, and cognitive)
- Integrates Natural User Interface design principles - encouraging pedestrians and drivers to keep their phones in their pockets
- Uses the WiFi Direct protocol or DSRC (Dedicated Short Range Communications) or device-to-device communication
- Augments pedestrians’ connectedness to their surroundings
- Uses geolocation technology to identify where a driver or pedestrian is in relation to an intersection or high-traffic area
- Utilizes gestures instead of screen or device-based controls
More Questions?
For questions about the Connected Intersections Challenge, email Support@ChallengePost.com, or post them to the Discussion Board.