Abstract
This paper proposes an analytical framework to deal with dynamic O-D estimation under the environment of mobile sensor network. With route travel information for each O-D pair and link traffic counts data, a Kalman Filter-based O-D estimation approach is proposed to bypass traffic assignment matrix. To this end, this paper exploits real-time route travel time information captured by both Bluetooth-based sensing technology and roadway traffic counts information by high resolution microwave sensors being deployed for real-time work zone monitoring system in New Jersey, USA. The proposed dynamic O-D estimation framework will be applied for the implementation of work zone management system to estimate and predict alternative routes for work zone area.
| Original language | English (US) |
|---|---|
| State | Published - 2014 |
| Event | 21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States Duration: Sep 7 2014 → Sep 11 2014 |
Other
| Other | 21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 |
|---|---|
| Country/Territory | United States |
| City | Detroit |
| Period | 9/7/14 → 9/11/14 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Mechanical Engineering
- Automotive Engineering
- Transportation
- Electrical and Electronic Engineering
Keywords
- Bluetooth
- Kalman filter
- Mobile sensor network
- TrEPS
- Work zone management