Title
An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction
Abstract
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.
Year
DOI
Venue
2009
10.1109/VETECF.2009.5378965
Vehicular Technology Conference Fall
Keywords
Field
DocType
computerised navigation,driver information systems,expert systems,driver activity prediction,driver behavior analysis,driver trajectory prediction,intelligent driving agent,intelligent driving assistant,maintenance information,maintenance issues,navigation system,traffic information,waypoint information,waypoint navigation
Social network,Telecommunications network,Profiling (computer programming),Computer science,Expert system,Navigation system,Transport engineering,Computer network,Waypoint,Human–computer interaction,Purchasing,Semantics
Conference
ISSN
ISBN
Citations 
1090-3038 E-ISBN : 978-1-4244-2515-0
978-1-4244-2515-0
4
PageRank 
References 
Authors
0.60
11
8
Name
Order
Citations
PageRank
Giusy Di Lorenzo157434.54
Fabio Pinelli297250.96
Francisco C. Pereira333133.07
Assaf Biderman41099.74
Carlo Ratti51211113.38
Charles Lee640.60
Chuuhee Lee740.60
Di Lorenzo, G.8644.32