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Classification of driver-assistance systems according to their impact on road safety and traffic efficiency
Authors:John Golias  George Yannis  Constantinos Antoniou
Affiliation:1. Institute of Transport and Logistics Studies , University of Sydney , NSW, Australia;2. Institute of Transport and Logistics Studies , University of Sydney , NSW, Australia;3. Civil Engineering Department , Portland State University , Oregon, USA
Abstract:

The aim was to examine driver-assistance systems that seem to have a considerable potential for road safety and traffic efficiency improvement, and to propose an impact-oriented classification of these systems. A broad overview of a series of driver-assistance systems under development or in some cases already available is presented and it identifies the basic characteristics of each system and its expected impact on traffic efficiency and road safety. The latter is assessed on the basis of appropriate evaluation criteria. Expert judgement and literature evidence available are used in this context. This impact approach, in contrast with the usually adopted user or system-oriented approaches, allows for more appropriate identification of the priorities in the field of future research, development and promotion of driver-assistance systems. The proposed classification allocates the driver-assistance systems in four different categories on the basis of whether traffic efficiency and safety impact are high or low. This categorization reveals that 40% of the systems considered are expected to have a high safety and low traffic-efficiency impact, while only 15% is expected to have both impacts high.
Keywords:
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