Sensor network for real-time vehicle tracking on road networks

Abstract

Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations about the surrounding relevant world. The paper describes a road infrastructure based sensing and data interpretation system, which is scalable, robust and delivers the motion state estimation of the individual vehicles in real-time. The system enables a wide spectrum of intelligent transport system functionalities ranging from traffic management to fully autonomous driving. Distinguishing features of the solution that it does not require instrumentation on the vehicles to become detected and it is insensitive to ambient environmental conditions (weather, light, etc.). The paper describes the event driven object tracking algorithm, and its "mapping" to distributed computing platform resulting in an inherently robust implementation.

Out of the Shadow: Long Term Cost Development of Intelligent Sensor Networks

“…But cameras and detection loops lead to installation and maintenance costs, and sometimes require occlusion of the road. Research is done to small sensors within the road, which can be installed during regular road maintenance, and requires no further maintenance [10].…”

Heterogeneous state estimation in dynamic networked systems

“…See, e.g. the applications described in [1, 2] and surveys on (sensor) networked systems in [3, 4]. These limitations are important when setting up a networked systems, as they could prevent a centralised solution for the considered state estimation task.…”

Low-Power Solutions for Wireless Passive Sensor Network Node Processor Architecture

“…Some applications even deploy sensor nodes in the asphalt of a road to monitor traffic, or in the forest to collect information on habitats. See, for example, the applications described in [44,57] and recent surveys on sensor networks in [27,1,9,37]. To limit energy consumption, one often aims to minimize the usage of communication and computational resources in sensor nodes.…”