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2 Archives of Transport System Telematics

2 2012

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Improvement in traffic state estimation at signal controlled intersections by merging induction loop data with V2X data

Bley O., Kutzner R., Friedrich B., Schuler T.

Archives of Transport System Telematics

2012

Vol. 5, iss. 3

3-7

A proven method to minimise the number of stops at traffic lights is a good coordination of the traffic. The use of vehicle-to-infrastructure (V2X) communication allows new concepts to achieve a better coordination. The here described system comprises both the adaption of the traffic signal control and the improvement of a vehicle's approach to intersections. Both objectives require accurate data concerning the actual traffic state and in particular the current tailback length. Therefore two data sources are used to estimate the current tailback length. Existing detectors at traffic lights are taken as a basis for the estimation. For an enhancement V2X data is used. Equipped vehicles send their current position and speed and thus operate as virtual detectors. In a further step detector counts and the V2X data are merged. The process tested in simulations was implemented within a test site in Braunschweig, Germany.

A system for traffic light control optimisation and automated vehicle guidance using the V2X

Naumann S., Bley O.

Archives of Transport System Telematics

2012

Vol. 5, iss. 3

20-23

The vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication for the increasing of traffic safety, traffic efficiency and driving comfort is a relatively new field of intelligent transport systems. In this paper a cooperative system for urban transport - which has been developed within the German research project KOLINE - is presented. It uses the communication between vehicles and traffic lights via the wireless communication standard IEEE 802.11p with the aim to avoid stops at traffic lights in order to reduce noise and pollutant emissions. The traffic lights provide information about the future signal changes and the local traffic state to the vehicles. The vehicles use this data to calculate the optimal approach strategy. In addition, the signal programs of the traffic lights are coordinated throughout the network and recalculated every 15 minutes according to the traffic volume. The article focuses on the architecture of the cooperative system and the communication between vehicles and traffic lights.