2014 Poster Sessions : Capri: Congestion and Parking Relief Incentives

Student Name : Chenguang Zhu
Advisor : Balaji Prabhakar
Research Areas: Computer Systems
Abstract:
In view of the increasing traffic through Stanford every day, especially during the morning and afternoon peak hours, we aim to design a system to help reduce peak hour traffic. To complement Stanford Parking and Transportation's efforts in reducing automobile commutes, we incentivize Stanford commuters to shift automobile commute time to offpeak hours, and to take up bicycling and walking commutes. After joining the Capri program, users can earn cash rewards or gas discount for commuting during offpeak hours, or by shifting commutes to walking and biking.

To capture automobile commute times, we have built RFID scanners at ten major entrances/exits around Stanford that capture participants' commute times. We also created a status system, and magic boxes featuring personalized offers and contest giveaways to encourage participation. Currently, there are 2,500 drivers participating in the Capri program, with more than 550,000 commutes logged since the launch of Capri in April, 2012. 70.8% of these commutes are during offpeak hours, compared with 62.3% for the whole Stanford community in 2013.

To incentivize walking and biking commutes, we devised a smart-phone app, My Beats, to log walking and biking commutes of Capri users. We incorporate My Beats into the Capri program and provide similar cash rewards to walkers and bikers. Currently, 789 users are participating in My Beats, with more than 45,000 trips recorded.

Bio:
Chinmoy V. Mandayam is a PhD Candidate in Electrical Engineering at Stanford University, where he is a Sequoia Capital Stanford Graduate Fellow. He works with the Stanford Center for Societal Networks (SCSN) under the supervision of Prof. Balaji Prabhakar to develop incentive mechanisms for transportation and healthcare networks.

Hossein Karkeh Abadi is a PhD student in Electrical Engineering department at Stanford University. He received his B.Sc. in both Electrical Engineering and Pure Mathematics from Sharif University of Technology, Iran, in 2011. He is pursuing his interest in Statistics and Societal Networks in Balaji Prabhakar's group.

Chenguang Zhu is a 4th-year PhD student in Computer Science at Stanford University, where he is advised by Prof. Balaji Prabhakar. Chenguang’s research interests are in incentivized system design and data analysis. Before coming to Stanford, Chenguang graduated from Tsinghua University in 2010 with a B.Eng in Computer Science.