TY - GEN
T1 - Wireless sensor network-based urban traffic monitoring using inertial reference data
AU - Mousa, Mustafa
AU - Abdulaal, Mohammed
AU - Boyles, Stephen
AU - Claudel, Christian
N1 - KAUST Repository Item: Exported on 2021-08-20
PY - 2015
Y1 - 2015
N2 - Probe vehicle data is currently generated using satellite navigation systems such as the GPS, GLONASS or Galileo systems. However, because of their high cost and relatively high position uncertainty and low sampling rate, satellite positioning systems have a relatively low penetration rate among users. In addition, such sensors do not provide context in the traffic measurements. To address these issues, we introduce a new traffic monitoring concept based on inexpensive inertial measurement units in conjunction with a wireless sensor network deployed inside a city. After discussing the sensing technique, we present a preliminary implementation of this system using an open source robotic platform. Preliminary results show that this system can be used to generate traffic measurement data.
AB - Probe vehicle data is currently generated using satellite navigation systems such as the GPS, GLONASS or Galileo systems. However, because of their high cost and relatively high position uncertainty and low sampling rate, satellite positioning systems have a relatively low penetration rate among users. In addition, such sensors do not provide context in the traffic measurements. To address these issues, we introduce a new traffic monitoring concept based on inexpensive inertial measurement units in conjunction with a wireless sensor network deployed inside a city. After discussing the sensing technique, we present a preliminary implementation of this system using an open source robotic platform. Preliminary results show that this system can be used to generate traffic measurement data.
UR - http://hdl.handle.net/10754/670639
UR - http://ieeexplore.ieee.org/document/7165041/
UR - http://www.scopus.com/inward/record.url?scp=84945906030&partnerID=8YFLogxK
U2 - 10.1109/DCOSS.2015.21
DO - 10.1109/DCOSS.2015.21
M3 - Conference contribution
SN - 9781479988563
SP - 206
EP - 207
BT - 2015 International Conference on Distributed Computing in Sensor Systems
PB - IEEE
ER -