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Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings

机译:在熟悉和不熟悉的环境中驾驶员接受不可靠的交通信息

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How reliable must traffic information be for motorists to trust and accept such advice? This study provides data to aid the designer of advanced traveler information systems (ATIS) in selecting an appropriate level of system accuracy. The Battelle Route Guidance Simulator was used to study the effects of information accuracy and familiarity of the driving environment on objective and subjective indices of driver performance and opinion. The simulator provided real-time information and traffic video. Information was 100%, 71%, or 43% accurate. Drivers experienced either Seattle and its environs or an artificial setting that was topologically matched to Seattle. Results showed that 100% accurate information yielded the best driver performance and subjective opinion, information that was 71% accurate was still accepted and used, but information that was 43% accurate produced powerful decrements in performance and opinion. Simulated ATIS information was not used as effectively in the familiar Seattle setting. Driver trust decreased with inaccurate information but recovered-though not always fully-with subsequent accurate information.
机译:交通信息对驾驶员的信任和接受必须多可靠?这项研究提供了数据,以帮助高级旅客信息系统(ATIS)的设计人员选择适当级别的系统准确性。 Battelle路线引导模拟器用于研究信息准确性和驾驶环境的熟悉程度对驾驶员性能和意见的客观和主观指标的影响。该模拟器提供了实时信息和交通视频。信息准确率为100%,71%或43%。驾驶员体验了西雅图及其周围地区或拓扑结构与西雅图相匹配的人工环境。结果表明,准确度为100%的信息可产生最佳的驾驶员性能和主观意见,准确度为71%的信息仍被接受和使用,但准确度为43%的信息会导致性能和意见的下降。在熟悉的西雅图环境中,模拟的ATIS信息使用效率不高。驾驶员的信任因信息不准确而下降,但随着后续的准确信息而并非总是完全恢复。

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