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Automotive (23) Commercial Vehicle (1)

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Vehicle drivers (10) Driver assistance systems (6) Driver behavior (6) Roads and highways (6) Simulation and modeling (6) Advanced driver assistance systems (ADAS) (5) Autonomous vehicles (4) Collision intervention systems (4) Research and development (4) Automated Vehicles (3) Body structures (3) Logistics (3) Machine learning (3) Reaction and response times (3) Road tests (3) Starters and starting (3) Traffic management (3) Automated driving systems (2) Connectivity (2) Control systems (2) Cruise control (2) Finite element analysis (2) Fittings (2) Intelligent transportation Systems (2) Mathematical models (2) Optimization (2) Reliability (2) Risk assessments (2) Steel (2) Test procedures (2) Vehicle to vehicle (V2V) (2) Yaw (2) Adaptive cruise control (1) Advanced high-strength steels (1) Artificial intelligence (AI) (1) Automated vehicles (1) Collaboration and partnering (1) Comfort (1) Communication systems (1) Computer simulation (1) Congestion (1) Cutting (1) Digital twin (1) Electric vehicles (1) Frontal collisions (1) Fuzzy logic (1) Heavy trucks (1) Imaging and visualization (1) Impact tests (1) Lidar (1) Lightweighting (1) Machining processes (1) Materials properties (1) Neural networks (1) Parts (1) Plastics (1) Pressure (1) Rear-end crashes (1) Regulations (1) Simulators (1) Statistical analysis (1) Vehicle acceleration (1) Vehicle body pillars (1) Visibility (1) Weather and climate (1) Wheels (1)

Authors

Zhu, Xichan (25) Ma, Zhixiong (17) Zheng, Yuqing (5) Wu, Biao (4) Ma, Xuehan (3) Cao, Jianyong (2) Fang, Xiaowei (2) Feng, Zhiwei (2) Liu, Rui (2) Nie, Xiaojing (2) Sun, Xiaoyu (2) Wu, Bin (2) Yin, Qi (2) Yu, Feng (2) Zeng, Yufan (2) Zhou, Xiaojun (2) li, Lin (2) Bai, Jie (1) Cang, Xuejun (1) Chen, Mingyang (1)

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SAE (25)

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Tongji University (19) SMVIC (3) China (2) Tongji Univeristy (2) HuZhou University (1) Huzhou University (1) Huzhou University, China (1) Tongji University and SMVIC (1) Tongji University, China (1) Tongji University, School of Automotive Studies, China (1) Tongji University, Shanghai, China (1) Tongji University/SMVIC (1) Tongji Universtiy (1) Yijue Car Technology Service Company (1) Zhejiang Univ. City College, Tongji University (1)

Events

WCX SAE World Congress Experience (8) Intelligent and Connected Vehicles Symposium (2) New Energy & Intelligent Connected Vehicle Technology Conference (2) SAE 2016 World Congress and Exhibition (2) SAE 2023 Intelligent and Connected Vehicles Symposium (2) WCX World Congress Experience (2) 2020 International Automotive Security, Safety and Testing Congress (1) SAE 2021 Intelligent and Connected Vehicles Symposium Part I (1) SAE 2022 Intelligent and Connected Vehicles Symposium (1) SAE WCX Digital Summit (1) SAE-TONGJI 2016 Driving Technology of Intelligent Vehicle Symposium (1) WCX™ 17: SAE World Congress Experience (1)

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Select Analysis under Vehicle-Pedalcyclist Risk Scenario Based on Comparison between Real Accident and Naturalistic Driving Data

Analysis under Vehicle-Pedalcyclist Risk Scenario Based on Comparison between Real Accident and Naturalistic Driving Data

Technical Paper
2018-01-1048
DOI: https://doi.org/10.4271/2018-01-1048

Published 2018-04-03 by SAE International in United States

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Select Study on Test Scenarios of Environment Perception System under Rear-End Collision Risk

Study on Test Scenarios of Environment Perception System under Rear-End Collision Risk

Technical Paper
2018-01-1079
DOI: https://doi.org/10.4271/2018-01-1079

Published 2018-04-03 by SAE International in United States

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Select Critical Driving Scenarios Extraction Optimization Method Based on China-FOT Naturalistic Driving Study Database

Critical Driving Scenarios Extraction Optimization Method Based on China-FOT Naturalistic Driving Study Database

Technical Paper
2018-01-1628
DOI: https://doi.org/10.4271/2018-01-1628

Published 2018-08-07 by SAE International in United States

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Select Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios

Naturalistic Driving Behavior Analysis under Typical Normal Cut-In Scenarios

Technical Paper
2019-01-0124
DOI: https://doi.org/10.4271/2019-01-0124

Published 2019-04-02 by SAE International in United States

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Select Research on the Model of Safety Boundary Condition Based on Vehicle Intersection Conflict and Collision

Research on the Model of Safety Boundary Condition Based on Vehicle Intersection Conflict and Collision

Technical Paper
2019-01-0132
DOI: https://doi.org/10.4271/2019-01-0132

Published 2019-04-02 by SAE International in United States

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Select Driver Behavior Classification under Cut-In Scenarios Using Support Vector Machine Based on Naturalistic Driving Data

Driver Behavior Classification under Cut-In Scenarios Using Support Vector Machine Based on Naturalistic Driving Data

Technical Paper
2019-01-0136
DOI: https://doi.org/10.4271/2019-01-0136

Published 2019-04-02 by SAE International in United States

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Select Driver Risk Perception Model under Critical Cut-In Scenarios

Driver Risk Perception Model under Critical Cut-In Scenarios

Technical Paper
2018-01-1626
DOI: https://doi.org/10.4271/2018-01-1626

Published 2018-08-07 by SAE International in United States

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Select Energy Absorption Behavior and Application of Thin-walled Box Structure with Higher Strength in Ridgelines

Energy Absorption Behavior and Application of Thin-walled Box Structure with Higher Strength in Ridgelines

Technical Paper
2016-01-0398
DOI: https://doi.org/10.4271/2016-01-0398

Published 2016-04-05 by SAE International in United States

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Select Driver Brake Parameters Analysis under Risk Scenarios with Pedalcyclist

Driver Brake Parameters Analysis under Risk Scenarios with Pedalcyclist

Technical Paper
2016-01-1451
DOI: https://doi.org/10.4271/2016-01-1451

Published 2016-04-05 by SAE International in United States

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Select Compressive and Bending Resistance of the Thin-Walled Hat Section Beam with Strengthened Ridgelines

Compressive and Bending Resistance of the Thin-Walled Hat Section Beam with Strengthened Ridgelines

Technical Paper
2021-01-0293
DOI: https://doi.org/10.4271/2021-01-0293

Published 2021-04-06 by SAE International in United States

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