Next Article in Journal
Barrier Coverage for 3D Camera Sensor Networks
Previous Article in Journal
Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(8), 1767; https://doi.org/10.3390/s17081767

Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation

1
School of Transportation, Nantong University, Se Yuan Road #9, Nantong 226019, China
2
Lyles School of Civil Engineering/NEXTRANS Center, Purdue University, 3000 Kent Avenue, West Lafayette, IN 47906, USA
3
School of Transportation, Southeast University, Si Pai Lou #2, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 5 June 2017 / Revised: 25 July 2017 / Accepted: 29 July 2017 / Published: 2 August 2017
(This article belongs to the Section Sensor Networks)
Full-Text   |   PDF [1023 KB, uploaded 2 August 2017]   |  

Abstract

Most existing network sensor location problem (NSLP) models are designed to identify the number of sensors with fixed costs and installation locations, and sensors are assumed to be installed permanently. However, sometimes sensors are carried by individuals to collect traffic data measurements manually at fixed locations. Hence, their duration of operation for which traffic data measurements are collected is limited, and their costs are not fixed as they are correlated with the duration of operation. This paper proposes a NSLP model that integrates optimal heterogeneous sensor deployment and operation strategies for the dynamic O-D demand estimates under budget constraints. The deployment strategy consists of the numbers of link and node sensors and their installation locations. The operation strategy includes sensors’ start time and duration of operation, which has not been addressed in previous studies. An algorithm is developed to solve the proposed model. Numerical experiments performed on a network from a part of Chennai, India show that the proposed model can identify the optimal heterogeneous sensor deployment and operation strategies with the maximum dynamic O-D demand estimation accuracy. View Full-Text
Keywords: network sensor location problem; heterogeneous sensor deployment strategy; dynamic O-D demand estimation; heterogeneous sensor operation strategy network sensor location problem; heterogeneous sensor deployment strategy; dynamic O-D demand estimation; heterogeneous sensor operation strategy
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhu, S.; Guo, Y.; Chen, J.; Li, D.; Cheng, L. Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation. Sensors 2017, 17, 1767.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top