Next Article in Journal
Feasibility Study of Precise Balloon Catheter Tracking and Visualization with Fast Photoacoustic Microscopy
Next Article in Special Issue
Intelligent Transportation Related Complex Systems and Sensors
Previous Article in Journal
A CMM-Based Method of Control Point Position Calibration for Light Pen Coordinate Measuring System
Previous Article in Special Issue
The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress
Article

A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

1
Department of Civil and Building Engineering, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
2
Department of Technologies and Information Systems, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(19), 5589; https://doi.org/10.3390/s20195589
Received: 4 September 2020 / Revised: 23 September 2020 / Accepted: 25 September 2020 / Published: 29 September 2020
(This article belongs to the Special Issue Intelligent Transportation Related Complex Systems and Sensors)
In recent years, different techniques to address the problem of observability in traffic networks have been proposed in multiple research projects, being the technique based on the installation of automatic vehicle identification sensors (AVI), one of the most successful in terms of theoretical results, but complex in terms of its practical application to real studies. Indeed, a very limited number of studies consider the possibility of installing a series of non-definitive plate scanning sensors in the elements of a network, which allow technicians to obtain a better conclusions when they deal with traffic network analysis such as urbans mobility plans that involve the estimation of traffic flows for different scenarios. With these antecedents, the contributions of this paper are (1) an architecture to deploy low-cost sensors network able to be temporarily installed on the city streets as an alternative of rubber hoses commonly used in the elaboration of urban mobility plans; (2) a design of the low-cost, low energy sensor itself, and (3) a sensor location model able to establish the best set of links of a network given both the study objectives and of the sensor needs of installation. A case of study with the installation of as set of proposed devices is presented, to demonstrate its viability. View Full-Text
Keywords: plate scanning; low-cost sensor; sensor location problem; traffic flow estimation plate scanning; low-cost sensor; sensor location problem; traffic flow estimation
Show Figures

Figure 1

MDPI and ACS Style

Álvarez-Bazo, F.; Sánchez-Cambronero, S.; Vallejo, D.; Glez-Morcillo, C.; Rivas, A.; Gallego, I. A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis. Sensors 2020, 20, 5589. https://doi.org/10.3390/s20195589

AMA Style

Álvarez-Bazo F, Sánchez-Cambronero S, Vallejo D, Glez-Morcillo C, Rivas A, Gallego I. A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis. Sensors. 2020; 20(19):5589. https://doi.org/10.3390/s20195589

Chicago/Turabian Style

Álvarez-Bazo, Fernando, Santos Sánchez-Cambronero, David Vallejo, Carlos Glez-Morcillo, Ana Rivas, and Inmaculada Gallego. 2020. "A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis" Sensors 20, no. 19: 5589. https://doi.org/10.3390/s20195589

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop