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forward collision warning system for motorcyclist using smart phone sensors based on time-to-collision and trajectory prediction

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Journal of Intelligent and Connected Vehicles 2021年第3期4卷 93-103页

作者： Qun Lim Yi Lim Hafiz Muhammad Dylan Wei Ming Tan U-Xuan Tan Department of Engineering Product Development Singapore University of Technology and DesignSingaporeSingapore Department of Information Systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore

Purpose–The purpose of this paper is to develop a proof-of-concept(POC)forward collision warning(FWC)system for the motorcyclist,which determines a potential clash based on time-to-collision and trajectory of both the detected and ego vehicle(motorcycle).Design/methodology/approach–This comes in three ***,time-to-collision value is to be calculated based on low-cost camera video ***,the trajectory of the detected vehicle is predicted based on video data in the 2 D pixel ***,the trajectory of the ego vehicle is predicted via the lean direction of the motorcycle from a low-cost inertial measurement unit ***–This encompasses a comprehensive Advanced FWC system which is an amalgamation of the three approaches mentioned ***,to predict time-to-collision,nested Kalmanﬁlter and vehicle detection is used to convert image pixel matrix to relative distance,velocity and time-to-collision ***,for trajectory prediction of detected vehicles,a few algorithms were compared,and it was found that long short-term memory performs the best on the data *** lastﬁnding is that to determine the leaning direction of the ego vehicle,it is better to use lean angle measurement compared to riding pattern classiﬁ***/value–The value of this paper is that it provides a POC FWC system that considers time-to-collision and trajectory of both detected and ego vehicle(motorcycle).

关键词： forward collision warning Time-to-collision Advanced driving assistance system Motorcycles

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Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance

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Journal of Intelligent and Connected Vehicles 2022年第2期5卷 49-62页

作者： Chen Chai Ziyao Zhou Weiru Yin David S.Hurwitz Siyang Zhang College of Transportation Engineering Tongji UniversityShanghaiChina and The Key Laboratory of Road and Traffic EngineeringMinistry of EducationShanghaiChina Strategic Alliance and New Business Department Saic General Motors Corporation LimitedShanghaiChina School of Civil and Construction Engineering Oregon State UniversityCorvallisOregonUSA

Purpose–The presentation of in-vehicle warnings information at risky driving scenarios is aimed to improve the collision avoidance ability of *** studies have found that driver’s collision avoidance performance is affected by both warning information and driver’s ***,whether moderation and mediation effects exist among warning information,driver’s cognition,behavior and risky avoidance performance is ***/methodology/approach–This purpose of this study is to examine whether the warning information type modifies the relationship between the forward collision risk and collision avoidance behavior.A driving simulator experiment was conducted with waring and command ***–Results of 30 participants indicated that command information improves collision avoidance behavior more than notification warning under the forward collision risky driving *** primary reason for this is that collision avoidance behavior can be negatively affected by the forward collision *** the same time,command information can weaken this negative ***,improved collision avoidance behavior can be achieved through increasing drivers’mental *** implications–The proposed model provides a comprehensive understanding of the factors influencing collision avoidance behavior,thus contributing to improved in-vehicle information system ***/value–The significant moderation effects evoke the fact that information types and mental workloads are critical in improving drivers’collision avoidance *** further calibration with larger sample size,the proposed structural model can be used to predict the effect of invehicle warnings in different risky driving scenarios.

关键词： In-vehicle warning information Driving simulator Mental workload Moderation effect forward collision warning

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