29-06-2012, 11:22 AM
The implementation of the intelligent transport system for the real-time roadside environment information transfer
[attachment=26041]
INTRODUCTION
Many car companies which include General Motors of U.S.,
Toyota, Honda of Japan and etc., have been researching
DSRC (Dedicated Short Range Communication) which reduce
the cost for transportation and safety of drivers and
pedestrians [1-4, 6-8]. In addition, the automotive electronics
system was expanded and ITS based road transport system
was constructed. There were a variety of information such as
vehicle Environmental Information, road condition
information, driving environment information, warning
system, and etc.
CONVERGENCE OF ITS AND USN
USN and intelligent transport system are applied with a
research to be various not to only the parking system [8] but
also the road environmental information collection and new
traffic service offer [9]. A road information service system
using USN, this is probably the best safeguard against traffic
accident and deadly consequences.
The road environment service is built on the road surface
sensor (temperature, humidity, ice detection). It which is
based on information learned, detects the freezing of the road
and indicates the driver to danger. As to the regional real-time
information service, the weather prediction accuracy is higher
than the general weather forecast. In addition, the aim is to
prevent accidents such as local rainfall and dense fog due to
unpredictable weather on the road [2-3, 11].
THE PROPOSED RTCS
The integration structure of USN and the vehicle
network
Sensor network technology, low maintenance cost and
construction cost, can be appropriate real-time traffic
prediction according to circumstances at the intersection. The
driver can be delivered the delay, congestion and accident
information faster than the existing TPEG (Transport Protocol
Experts Group) system by using the USN. Because of this
rapid information, additional accidents can be prevented.
In this study, USN role for the safety of motorists and
pedestrians are presented as four kinds of services with
reference to the earlier research.
The test area and comparison of association performance
We have constructed USN test bed, such as figure 3 using
figure 1. USN was built as CC2430 platform based on TinyOS
2.0. A construction was started on October 10, 2009, and the
third test was conducted until November 6th.
The distance of each site of the test bed is the average 450m,
and the nearest distance is 150m (C-D), the longest range is
800m (A-B). RSU of A, B, D and E area was composed of
four nodes and road data collection sensors of a temperature,
dust, humidity, freezing, and etc. Each node transmits the
collected data to the coordinator every 30 minutes.
THE TEST BED BUILDING AND INTEGRATION OF THE USN-BASED
The network structure of test bed was described, and
integration of sensor network and test bed also explained in
this section. User safety and service requirements have been
reflected in the combined model of the vehicle network and
sensor network.
[attachment=26041]
INTRODUCTION
Many car companies which include General Motors of U.S.,
Toyota, Honda of Japan and etc., have been researching
DSRC (Dedicated Short Range Communication) which reduce
the cost for transportation and safety of drivers and
pedestrians [1-4, 6-8]. In addition, the automotive electronics
system was expanded and ITS based road transport system
was constructed. There were a variety of information such as
vehicle Environmental Information, road condition
information, driving environment information, warning
system, and etc.
CONVERGENCE OF ITS AND USN
USN and intelligent transport system are applied with a
research to be various not to only the parking system [8] but
also the road environmental information collection and new
traffic service offer [9]. A road information service system
using USN, this is probably the best safeguard against traffic
accident and deadly consequences.
The road environment service is built on the road surface
sensor (temperature, humidity, ice detection). It which is
based on information learned, detects the freezing of the road
and indicates the driver to danger. As to the regional real-time
information service, the weather prediction accuracy is higher
than the general weather forecast. In addition, the aim is to
prevent accidents such as local rainfall and dense fog due to
unpredictable weather on the road [2-3, 11].
THE PROPOSED RTCS
The integration structure of USN and the vehicle
network
Sensor network technology, low maintenance cost and
construction cost, can be appropriate real-time traffic
prediction according to circumstances at the intersection. The
driver can be delivered the delay, congestion and accident
information faster than the existing TPEG (Transport Protocol
Experts Group) system by using the USN. Because of this
rapid information, additional accidents can be prevented.
In this study, USN role for the safety of motorists and
pedestrians are presented as four kinds of services with
reference to the earlier research.
The test area and comparison of association performance
We have constructed USN test bed, such as figure 3 using
figure 1. USN was built as CC2430 platform based on TinyOS
2.0. A construction was started on October 10, 2009, and the
third test was conducted until November 6th.
The distance of each site of the test bed is the average 450m,
and the nearest distance is 150m (C-D), the longest range is
800m (A-B). RSU of A, B, D and E area was composed of
four nodes and road data collection sensors of a temperature,
dust, humidity, freezing, and etc. Each node transmits the
collected data to the coordinator every 30 minutes.
THE TEST BED BUILDING AND INTEGRATION OF THE USN-BASED
The network structure of test bed was described, and
integration of sensor network and test bed also explained in
this section. User safety and service requirements have been
reflected in the combined model of the vehicle network and
sensor network.