Search Results - "Shi, Xiupeng"

A lane-changing risk profile analysis method based on time-series clustering by Chen, Tianyi, Shi, Xiupeng, Wong, Yiik Diew

“…Lane-changing (LC) is an essential driving maneuver on roadways, and risky LC maneuvers account for a large number of crash accidents. This study investigates…”
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A machine learning based study on pedestrian movement dynamics under emergency evacuation by Wang, Ke, Shi, Xiupeng, Goh, Algena Pei Xuan, Qian, Shunzhi

“…Knowledge of evacuees' movement dynamics is crucial to building safety design and evacuation management. Although it is recognized that stepwise movement is…”
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Estimating Safety Effects of Green-Man Countdown Devices at Signalized Pedestrian Crosswalk Based on Cellular Automata by Chai, Chen, Wong, Yiik Diew, Shi, Xiupeng

“…Safety effects of Green-Man Countdown Device (GMCD) at signalized pedestrian crosswalks are evaluated. Pedestrian behavior at GMCD and non-GMCD crosswalks is…”
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The Coupling Relationship between the West Shandong Rise and the Jiyang Depression, China by 李理 钟大赉 杨长春 时秀朋 赵利 董大伟

“…This article reports 21 AFT （apatite fission track） data from the West Shandong （山东） rise （WSR） and Jiyang （济阳） depression, and mainly studies their Cenozoic…”
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A XGBoost-Based Lane Change Prediction on Time Series Data Using Feature Engineering for Autopilot Vehicles by Zhang, Yi, Shi, Xiupeng, Zhang, Sheng, Abraham, Anuj

“…Road accidents wreck lives. Could technology stop them from happening? Driving better road safety with technology and artificial intelligence are the key…”
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Key feature selection and risk prediction for lane-changing behaviors based on vehicles’ trajectory data by Chen, Tianyi, Shi, Xiupeng, Wong, Yiik Diew

“…•A research framework is developed for feature selection and risk prediction for Lane-Changing (LC) behaviors.•An evaluation method is proposed for resampling…”
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Situational NMAC risk assessment using conditional random field for UAV tiered aerial passage operations by Zhang, Na, Zhang, Bin, Shi, Xiupeng

“…•Tiered aerial passage concept is proposed to address the UAV heterogeneity issue.•A novel probabilistic NMAC risk assessment approach is developed.•Three risk…”
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Optimized structure learning of Bayesian Network for investigating causation of vehicles’ on-road crashes by Chen, Tianyi, Wong, Yiik Diew, Shi, Xiupeng, Wang, Xueqin

“…•A structure learning method is proposed to construct Bayesian Network of vehicles’ crash.•A robust feature selection method is applied to deal with the data…”
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A feature learning approach based on XGBoost for driving assessment and risk prediction by Shi, Xiupeng, Wong, Yiik Diew, Li, Michael Zhi-Feng, Palanisamy, Chandrasekar, Chai, Chen

“…•A method is designed to extract driving behaviour features and predict risk levels.•Massive driving behaviour features are extracted from real vehicle…”
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A Spatial-Temporal Analysis of Brain Activation to Explain the Take-Over Failure in Conditionally Automated Driving by Yin, Weiru, Chai, Chen, Weng, Shixuan, Shi, Xiupeng

“…This study aims to investigate the causes of take-over failures in conditional automated driving with spatial-temporal analysis of brain zone activation…”
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Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach by Chen, Tianyi, Shi, Xiupeng, Wong, Yiik Diew, Yu, Xiaocong

“…•A pre-emptive lane-changing risk level prediction method is developed and validated.•The proposed innovative resampling method shows satisfactory resampling…”
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An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles by Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi-Feng

“…This study presents a domain-specific automated machine learning (AutoML) for risk prediction and behaviour assessment, which can be used in the behavioural…”
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A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers by Chen, Tianyi, Wong, Yiik Diew, Shi, Xiupeng, Yang, Yaoyao

“…•Propose a data-driven method to develop Copula-Bayesian Networks.•Consider the features belonging to multiple categories comprehensively.•Make a better…”
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A novel cooperative resource provisioning strategy for Multi-Cloud load balancing by Zhang, Bo, Zeng, Zeng, Shi, Xiupeng, Yang, Jianxi, Veeravalli, Bharadwaj, Li, Keqin

“…The paradigm of cloud computing has heralded a new avenue of computing, offering benefits of increased data accessibility with low cost. Continuous Writing…”
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Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road by Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi-Feng, Chen, Tianyi, Zeng, Zeng

“…Early risk diagnosis and driving anomaly detection from vehicle stream are of great benefits in a range of advanced solutions towards Smart Road and crash…”
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Fuzzy logic-based observation and evaluation of pedestrians’ behavioral patterns by age and gender by Chai, Chen, Shi, Xiupeng, Wong, Yiik Diew, Er, Meng Joo, Gwee, Evan Tat Meng

“…•Fuzzy logic based approach is developed to study pedestrian cognitions.•Examine behavioral patterns of pedestrians affected by age and gender.•Collect…”
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Adaptive Modelling for Anomaly Detection and Defect Diagnosis in Semiconductor Smart Manufacturing: A Domain-specific AutoML by Zhai, Weihong, Shi, Xiupeng, Zeng, Zeng

“…Early detection and diagnosis of the defect in semiconductor wafer production offer significant advantages for various advanced solutions in smart…”
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Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis by Shi, Zuozheng, Liang, Kun, Zeng, Zeng, Shi, Xiupeng

“…Currently, with the reduction of transistor size and the increase in the number of transistors on the chip, thermal simulation in the chip design process has…”
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A Unified On-Demand Driving Behavior Model Based on Automated Machine Learning (AutoML) by Li, Jiaxin, Ren, Haoyan, Chai, Chen, Shi, Xiupeng

“…An ideal driving behavior model should be able to adapt to constantly changing environments. Most of the existing models are proposed for specific traffic…”
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AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing by Han, Qing, Xia, Yu, Shi, Xiupeng, Zeng, Zeng

“…Reliable defect diagnosis and prognosis for production lines are of great benefit in a range of advanced solutions towards smart manufacturing and yield…”
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