Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review
نویسندگان
چکیده
Driver behavior models have been used as input to self-coaching, accident prevention studies, and developing driver-assisting systems. In recent years, driver recognition has revolutionized autonomous vehicles (AVs) traffic management studies. This comprehensive survey provides an up-to-date review of the different modeling approaches. heterogeneous streets where humans operate simultaneously, predicting intent action human drivers is crucial for AVs with help wireless communication artificial intelligence (AI) technologies. Therefore, also summarizes applications (DBM) effective human-like AV driving. Moreover, covers application DBM in capturing behaviors complex dynamic driving tasks. this review, we solely cover car-following (CF) lane-changing (LC) maneuvers.
منابع مشابه
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3249144