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INGE – Intelligent street lighting for increased traffic safety with reduced costs

Authors: Klaus Pollhammer; Thomas Novak; Daniel Elias; Birgit Nadler; Friedrich Nadler;

INGE – Intelligent street lighting for increased traffic safety with reduced costs

Abstract

Intelligent systems are omnipresent in today’s traffic environment. Communication and control networks connect different units like traffic signals or luminaries but are strictly separated from each other. Duplicated infrastructure like traffic sensors are the result and highly separated control platforms. This work will present a solution on how to loosely couple safety-related and safety-non-related networks to increase the database by providing sensor-data also for other applications and open up a possibility to extend non-safety-related applications with the introduction of (previously) not accessible sensor data from safety-related networks. A modular network structure for nonsafety- related networks is described in detail in addition to parts of the overall management platform and how the data of the safety-related subnetworks should be included seamlessly. Last a simulation approach is described on how traffic at an intersection can be modeled to generate different scenario data for a later in detail energy simulation. With the help of this simulation the approach will be evaluated and optimized.

Keywords

safety-related; grey-channel approach; MQTT-message broker; intersection controller; safe and secure transport systems; smart urban mobility applications; optimization of traffic infrastructure.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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