An affective intelligent driving agent: driver's trajectory and activities prediction.
The traditional relationship between the car, driver, and city can be described as waypoint navigation with additional traffic and maintenance information. The car can receive and store waypoint information, find the shortest route to these waypoints, integrate traffic information, find points-of-in...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/58476 https://orcid.org/0000-0003-2026-5631 https://orcid.org/0000-0001-5457-9909 |
| _version_ | 1826201385487564800 |
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| author | Ratti, Carlo Di Lorenzo, Giusy Pereira, Francisco Biderman, Assaf Pinelli, Fabio Lee, Charles Lee, Chuhee |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Ratti, Carlo Di Lorenzo, Giusy Pereira, Francisco Biderman, Assaf Pinelli, Fabio Lee, Charles Lee, Chuhee |
| author_sort | Ratti, Carlo |
| collection | MIT |
| description | The traditional relationship between the car, driver, and city can be described as waypoint navigation with additional traffic and maintenance information. The car can receive and store waypoint information, find the shortest route to these waypoints, integrate traffic information, find points-of-interest, and alert the driver of a pre-programmed set of maintenance issues related to the car. Here, we propose a new route system that is multi-goal-centric rather than waypoint-centric. Instead of focusing on determining the route to a specified waypoint, as done in commercially available navigation systems, the system will analyze the driver's behavior in order to extract the potential set(s) of goals that the driver would like to achieve. The system must also understand the city on a number of levels: physical, social, and commercial. This provides the foundation for a social and intelligent driving assistant, that helps the driver achieve his goals and helps the city perform better through interaction between both entities. |
| first_indexed | 2024-09-23T11:50:52Z |
| format | Article |
| id | mit-1721.1/58476 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:50:52Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/584762022-10-01T06:25:56Z An affective intelligent driving agent: driver's trajectory and activities prediction. Ratti, Carlo Di Lorenzo, Giusy Pereira, Francisco Biderman, Assaf Pinelli, Fabio Lee, Charles Lee, Chuhee Massachusetts Institute of Technology. Department of Urban Studies and Planning Massachusetts Institute of Technology. SENSEable City Laboratory Ratti, Carlo Pereira, Francisco Biderman, Assaf Ratti, Carlo Di Lorenzo, Giusy The traditional relationship between the car, driver, and city can be described as waypoint navigation with additional traffic and maintenance information. The car can receive and store waypoint information, find the shortest route to these waypoints, integrate traffic information, find points-of-interest, and alert the driver of a pre-programmed set of maintenance issues related to the car. Here, we propose a new route system that is multi-goal-centric rather than waypoint-centric. Instead of focusing on determining the route to a specified waypoint, as done in commercially available navigation systems, the system will analyze the driver's behavior in order to extract the potential set(s) of goals that the driver would like to achieve. The system must also understand the city on a number of levels: physical, social, and commercial. This provides the foundation for a social and intelligent driving assistant, that helps the driver achieve his goals and helps the city perform better through interaction between both entities. 2010-09-07T18:35:38Z 2010-09-07T18:35:38Z 2010-01 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-2514-3 978-1-4244-2515-0 1090-3038 http://hdl.handle.net/1721.1/58476 Di Lorenzo, G. et al. “An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction.” Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th. 2009. 1-4. ©2009 Institute of Electrical and Electronics Engineers. https://orcid.org/0000-0003-2026-5631 https://orcid.org/0000-0001-5457-9909 en_US http://dx.doi.org/10.1109/VETECF.2009.5378965 2009 IEEE 70th Vehicular Technology Conference (VTC 2009 Fall) Attribution-Noncommercial-Share Alike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers Carlo Ratti |
| spellingShingle | Ratti, Carlo Di Lorenzo, Giusy Pereira, Francisco Biderman, Assaf Pinelli, Fabio Lee, Charles Lee, Chuhee An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title | An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title_full | An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title_fullStr | An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title_full_unstemmed | An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title_short | An affective intelligent driving agent: driver's trajectory and activities prediction. |
| title_sort | affective intelligent driving agent driver s trajectory and activities prediction |
| url | http://hdl.handle.net/1721.1/58476 https://orcid.org/0000-0003-2026-5631 https://orcid.org/0000-0001-5457-9909 |
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