This paper shows how extended vehicle related sensor data is gained and used within the cooperative system de veloped in the project KOLINE. This system aims at coordinat ing traffic in order to achieve a reduction of delay and emissions in urban networks by exchanging information between traffic signals and approaching vehicles. Besides receiving information about the signal program and traffic state at the intersection the vehicle also uses data of mUltiple sensors and different sensor technologies. This allows the creation of a redundant representation of the vehicle's environment which is used to improve the vehicle's approach to intersections. Additionally, the information can be used by the infrastructure to improve the performance of the adaptive traffic control system by using it for tailback approximation and for the calibration of the underlying traffic model.
PReVAL is a subproject of the PReVENT Integrated Project, in which different preventive safety functions have been developed and demonstrated. The major aims of the PReVAL project are to assess the safety potential of these functions and to develop a harmonized framework for the assessment of preventive safety applications and advanced driver assistance functions. The framework builds on the experiences gained in the PReVENT project and other related projects, such as AIDE, APROSYS, and eIMPACT. The framework integrates different procedures for technical and human factors evaluation and safety potential assessment in one holistic approach.
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