Abstract
Efficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools. For that reason, such systems have been developed to register and classify road traffic usage. In this paper, we propose a novel system for road traffic monitoring and classification based on highly energy efficient wireless magnetic sensor networks. We develop novel algorithms for vehicle speed and length estimation and vehicle classification that use multiple magnetic sensors. We also demonstrate that, using such a low-cost system with simplified installation and maintenance compared to current solutions, it is possible to achieve highly accurate estimation and a high rate of positive vehicle classification.
| Original language | English |
|---|---|
| Pages (from-to) | 274-288 |
| Journal | Transport and Telecommunication Journal |
| Volume | 17 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 23 Nov 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- magnetic sensors
- speed and length estimation
- traffic monitoring
- vehicle classification
- wireless
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