RESEARCH:: Digitalized Mobility:: Projects (See more updated descriptions of projects here)
Smart Future Urban Mobility Survey 2010-present
This project is developing a smartphone-based individual activity survey technology that takes advantage of GPS, GSM cell-ID, WiFi, and accelerometers to provide an easy to use, privacy-maintaining, parsimonious and efficient means of collecting data for estimating activity-based behavioral models.
MIT students involved: Yichen Sun (MST12), Yunke Xiang (MCP12)
SMART collaborators: Francisco Pereira, Caitlin Cottrill, Fang Zhao, Rui Baltazar, Rukshan Batuwita, Kalan Nawarathne, Bruno Santos, Jorge Santos, Inês Dias
MIT faculty collaborators: Moshe Ben-Akiva
External collaborators: Hock Beng Lim (NTU)
Materials: Integrated activity survey, Smartphone survey demo, Future Mobility Survey Overview
Sponsor: Singapore-MIT Alliance for Research and Technology (Future Urban Mobility)
Real-Time Mobility 2010-present
How does the availability of real-time, locationally and temporally specific information change the ways users behave in the system and the system responds to users? Will public transportation users be happier? Will transport operators change the way they deliver services? Can new needs be communicated effectively to planners and decision-makers? This research examines these questions, including through attempts to measure users’ responses to real-time public transportation information delivered to personal devices (e.g., smartphone apps) in Boston, New York City, and Singapore, and deployment of technologies to improve public transportation conditions in cities of the Global South, including Dhaka and Buenos Aires.
MIT students involved: Albert Ching (MCP12), Stephen Kennedy (MCP12), Kuan Butts (MCP14), Emily Eros (MCP14), Amalia Holub (MCP14), Pablo Posada (MCP14), Elizabeth Resor (MCP13)
SMART postdocs: Caitlin Cottrill
External collaborators: Urban Launchpad, Kewkradong
Materials: Flocksourcing, Riding in real time
Sponsor: Singapore-MIT Alliance for Research and Technology (Future Urban Mobility)
CityMotion 2008-2011
This project focuses on the development of a knowledge infrastructure, computational models, and user applications that allow access to real-time information on the mobility system. It represented the first Portuguese project to advance “reality mining” from heterogeneous (and differently owned) data sources and included the development of on on-line prototype for short-term traffic predictions on Portugal’s A5 motorway. The project has spawned a second phase Portuguese national research project, TICE.mobilidade.
MIT students involved: Andrew Amey (MST/MCP10), Enyang Huang (MST10)
MIT faculty collaborators: Carlo Ratti (DUSP), Moshe Ben-Akiva (CEE)
External collaborators: Carlos Bento (Univ. Coimbra), Francisco Pereira (Univ. Coimbra), Teresa Galvão (Univ. Porto), João Abreu e Silva (IST)
Related theses: Huang
Links: Data fusion state of practice, Visualizing Lisbon’s traffic, Clots in Lisbon’s traffic
Sponsor: MIT Portugal Program
Lisbon, Oct. 2009; CityMotion Project, Pedro Miguel Cruz, Univ. of Coimbra, CISUC