The following section provides a classification of traffic sensor technologies based on their operating principles and the traffic metrics they can potentially collect.
This study is a pioneer in the investigation of Bluetooth as traffic sensor under Turkey traffic conditions and presents penetration and class-wise distribution analyses, in addition to proposing a method to estimate stream travel time from sampled Bluetooth data.
Another similar work [16] achieves vehicle detection or classification by an iconic object classification scheme for the vision-based traffic sensor system.
For this, 10 days of traffic data from May 26 to June 06 , 2014(excluding Saturday and Sunday) was taken from the automated traffic sensor installed at Perungudi which is located at a distance of about 3 km from the study location.
The raw data from the automated traffic sensor contained each one minute class-wise traffic flow for the entire 24 h from 12 midnight to 12 midnight.
Traffic sensor technologies are classified based on their functionality into three broad categories as point, point-to-point and area-wide.
The first stage model aims to minimize the total traffic sensor installation cost and the expected penalty for uncovered and undifferentiated paths.
Simulation results show that the EA-MAC protocol has better energy saving, throughput, shorter delay performance, and low packet loss rate than that of SMAC protocol in dynamic traffic sensor networks.
There are electromagnets that you can buy to attach to the underside of motorcycles that were designed specifically to help trigger the sensors after stopping if the traffic sensor does not recognize your presence.
This paper designs a portable, low-cost, low-power structural monitoring system, which is equipped with Polyvinylidene Fluoride (PVDF) traffic sensors, a central processing unit (CPU), an amplifier circuit, an Analog/Digital (A/D) converter circuit, a communication circuit, an alarm circuit, and analysis software.
