Traffic Measurement on Multiple Drive Lanes with Wireless Ultrasonic Sensors

With the continuing growth of highway construction and vehicle use expansion all over the world, highway vehicle traffic rule violation (TRV) detection has become more and more important so as to avoid traffic accidents and injuries in intelligent transportation systems (ITS) and vehicular ad hoc networks (VANETs). Since very few works have contributed to solve the TRV detection problem by moving vehicle measurements and surveillance devices, this paper develops a novel parallel ultrasonic sensor system that can be used to identify the TRV behavior of a host vehicle in real-time. Then a two-dimensional state method is proposed, utilizing the spacial state and time sequential states from the data of two parallel ultrasonic sensors to detect and count the highway vehicle violations. Finally, the theoretical TRV identification probability is analyzed, and actual experiments are conducted on different highway segments with various driving speeds, which indicates that the identification accuracy of the proposed method can reach about 90.97%.

Section: Principle Of the Ultrasonic Sensor Systemmentioning

confidence: 99%

An Ultrasonic Sensor System Based on a Two-Dimensional State Method for Highway Vehicle Violation Detection Applications

Liu

Han

et al. 2015

“…The fixed-point observation technique is widely employed in UGS and ITS by installing an inductive loop sensor [7], ultrasonic sensor [8,9], seismic sensor [10] and camera [11]. However, these sensing systems suffer from complicated installation, expensive maintenance costs and high power consumption.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Counting and Moving Direction Identification Based on Small-Aperture Microphone Array

Zhang

Guo

et al. 2017

The varying trend of a moving vehicle’s angles provides much important intelligence for an unattended ground sensor (UGS) monitoring system. The present study investigates the capabilities of a small-aperture microphone array (SAMA) based system to identify the number and moving direction of vehicles travelling on a previously established route. In this paper, a SAMA-based acoustic monitoring system, including the system hardware architecture and algorithm mechanism, is designed as a single node sensor for the application of UGS. The algorithm is built on the varying trend of a vehicle’s bearing angles around the closest point of approach (CPA). We demonstrate the effectiveness of our proposed method with our designed SAMA-based monitoring system in various experimental sites. The experimental results in harsh conditions validate the usefulness of our proposed UGS monitoring system.

“…Four large groups can be made: Counting sensors: these sensors count the vehicles which travel through a determined control section, without distinguishing the lane or the direction. Within WSN applied to traffic control, there are initiatives based on counting sensors, such as those shown in Jeon et al [ 11 ]. Path-ID sensors: they need the installation of a wireless device in the vehicle to establish a Vehicle-to-Infrastructure (V2I) communication [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…Counting sensors: these sensors count the vehicles which travel through a determined control section, without distinguishing the lane or the direction. Within WSN applied to traffic control, there are initiatives based on counting sensors, such as those shown in Jeon et al [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring

Lozano

Martín-Guzmán

Martín-Ávila

et al. 2015

Sustainable mobility requires a better management of the available infrastructure resources. To achieve this goal, it is necessary to obtain accurate data about road usage, in particular in urban areas. Although a variety of sensor alternates for urban traffic exist, they usually require extensive investments in the form of construction works for installation, processing means, etc. Wireless Sensor Networks (WSN) are an alternative to acquire urban traffic data, allowing for flexible, easy deployment. Together with the use of the appropriate sensors, like Bluetooth identification, and associate processing, WSN can provide the means to obtain in real time data like the origin-destination matrix, a key tool for trend monitoring which previously required weeks or months to be completed. This paper presents a system based on WSN designed to characterize urban traffic, particularly traffic trend monitoring through the calculation of the origin-destination matrix in real time by using Bluetooth identification. Additional sensors are also available integrated in different types of nodes. Experiments in real conditions have been performed, both for separate sensors (Bluetooth, ultrasound and laser), and for the whole system, showing the feasibility of this approach.