Abstract
Abstract Increasing the number of vehicles on the road network and the growing popularity of sustainable development of urban areas have resulted in the need for implementing efficient and cost-effective traffic measurement methods. From the perspective of traffic management, up-to-date information about vehicle density and access to historical data are the key components of traffic variability analyses. Rapid technological development based on Intelligent Transport Systems (ITS) has popularised the wireless sensor networks (WSN) application. The solution enables continuous monitoring of selected area using multiple wireless and low-cost sensors connected within a network. Those systems are dynamically evolving tools for solving an effective traffic management issues in city centres and urban environments. In the study, authors have performed a traffic variability and its dynamics analysis in a selected area using a multi-sensor network for traffic volume monitoring. The article presents the results of research conducted between years 2015 - 2018 throughout the city of Bielsko-Biala with the support of OnDynamic multimodal system. Within the context of the analyses, basic traffic parameters have been determined and variability trends have been identified on selected road sections. Long-term research indicated the minor variation in a number of vehicle detections and relatively stable traffic volume in the city centre during the analysis period.
Highlights
Increasing the number of vehicles on the road network and the growing popularity of sustainable development of urban areas have resulted in the need for implementing efficient and cost-effective traffic measurement methods
The analyses presented in the paper were performed only for sections between base stations of the OnDynamic system, excluding urban road network outside of system detection range
The conducted research has shown that wireless sensor networks (WSN) multi-sensor wireless networks are useful tools for long-term variability analysis and monitoring of current traffic conditions
Summary
Abstract: Increasing the number of vehicles on the road network and the growing popularity of sustainable development of urban areas have resulted in the need for implementing efficient and cost-effective traffic measurement methods. The solution enables continuous monitoring of selected area using multiple wireless and low-cost sensors connected within a network Those systems are dynamically evolving tools for solving an effective traffic management issues in city centres and urban environments. Smart city definitions consider communications and sensor capabilities sewn into the cities’ infrastructures for transportation optimization purposes [3] This trend is based on digital information and communication networks to integrate urban systems in order to improve their efficiency and interactivity [4, 5]. This group, characterized by high measurement accuracy, has a negative impact on the durability of the surface and requires periodic replacement and calibration of sensors The consequences of this are interruptions in road traffic continuity, high costs of system implementation and maintenance. In this paper authors would like to present WSN application and its usefullness for real-time traffic data monitoring in urban areas
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