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Entries

Congratulations to the 2017 D4SD Finalists! Out of 23 entries into this year's challenge, we selected 8 finalists that represent a mix of our four challenge briefs (commuter experience, accessibility, biking/walking, and autonomous vehicles).

The winner received a $5000 cash prize. The top three teams will get opportunities to pitch directly to the City of San Diego, SCALE SD, and SANDAG to implement their ideas.

Finalists

First PlaceCycle Detection

Cycle Detection

Stephen Cerruti, D.J. Nelson, Savera Soin, James Maron

How can we make bicycles more visible to cars of the future? We think DSRC, the technology behind V2V communication, may be the answer.

Second PlaceAV onDemand: Remote Service Provider for Autonomous vehicles

AV onDemand: Remote Service Provider for Autonomous vehicles

Marissa Hing, Alex Tunchez, Jacob Browne, Josh Duhay, Claire Pham

Hired specialists remotely maneuver AVs through areas of uncertain conditions allowing all riders to travel with no takeover responsibility.

Third PlaceSpot: Your Guide to Safe and Walkable Cities

Spot: Your Guide to Safe and Walkable Cities

Sayamon Riddang, Natalie Terenzi

Spot is an app that provides the blind and visually impaired with accessibility-focused walking directions, using data from GE streetlamps.

GATE Center: Immersive AV Learning Center

GATE Center: Immersive AV Learning Center

Garret Hoover, Selene Hoover, Jessica Yeung

An education center where the public directly engages with AVs, accesses learning resources, and provides feedback for stakeholder insights.

Beach Access For All

Beach Access For All

Andrea Flagiello, Matt Abbondanzio, Tomas Robinson, Daniel Lenzen

We wish to redefine the beach experience for those with limited mobility. Our solution is an automated, shared-use, mobility aid service designed for the beach environment.

Road Map

Road Map

Anna Chen, Marie McNamara

An app focused on the iterative design process, bringing professionals and the public together to share designs, expertise, and feedback.

San Diego Parking App

San Diego Parking App

Tyler Reinecke, Thomas Twomey, Jangwoo Lee, Adrian Derderian, Dave Dunn

An app that shows available parking within downtown San Diego.

Audio Movement

Audio Movement

Ting Wei Lin, Nathaniel Moreno, James Rich, Danfei Sun, Diana Nguyen

WiFi installation on all MTS vehicles, improving the experience of regular MTS commuters, through education and entertainment resources.

Other Entries

PAC: Personal Assistant for Cars

PAC: Personal Assistant for Cars

Yuka Okina, Tamar Esserman, Alexander Chen, Marie Schneider

PAC is a smartphone application that provides audio alerts to drivers when it senses an urgent emergency.

ESSENSE: Driver’s seat vibration pad

ESSENSE: Driver’s seat vibration pad

Erich McMillan, Lindy Wong, Dean Ravida, Siyuan Gao, Joel Yun

ESSENCE is the new way to alert driver's of pedestrians who are preparing to cross the street at the intersection through vibrations.

M. I. A. -- My Instructional Assistant

M. I. A. -- My Instructional Assistant

Maggie Chan, Tony Chan, Jodi Lam, Christine Tran, Christopher Yan

An AI instructional assistant that helps reinforce good driving habits by reducing visual cognitive load though the aid of real-time audio feedback from car sensor technology.

Spot: The Smart Parking App

Spot: The Smart Parking App

Shelly Bae, Daniel Won, Kyle Rico, Tayte Duong, Kellie Higa

SPOT is an application that aims to make parking in congested areas easier and more efficient by allowing people to give their parking and its location directly to someone else.

MTS - Track Your Bus: Closing the gap between MTS and its users

MTS - Track Your Bus: Closing the gap between MTS and its users

Arvin Dagoc, Vivian Trinh, Swarnakshi Kapil, Saul Mendez, Chengyang Yu

An application which rewards users for reporting MTS related problems.

SafeD

SafeD

Steven Chen, Christopher Wong, Eric Liu, Bradley Day, Grace Chen

Our solution combines infrastructural changes and social awareness campaigns supplemented by an attachable device that enhances visibility for drivers. These combine to create better experiences for drivers while improving pedestrian safety.

iCbus: Real-time Bus Capacity Forecasting System

iCbus: Real-time Bus Capacity Forecasting System

Yuxuan Zhou, Yuanqi Wang, Yujie Wang

iCBus is a multi-platform bus forecasting system. Based on existing drivers' control system, it provides drivers a new interface to send out more valuable information, containing bus capacity and wheelchair availability, which will be synchronously transferred to users' mobile application.