A Method for Public Transit OD Estimation Using Transit Smart Card Data by Akif Fidanoğlu, Ilgın Gökaşar

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Calculating place-based transit accessibility: Methods, tools and algorithmic dependence by Christopher Higgins, Matthew Palm, Amber DeJohn, Luna Xi, James Vaughan, Steven Farber, Michael Widener, Eric Miller

“…With the growing emphasis on accessibility-based planning, analysts should approach the calculation of accessibility with care and recognize the potential for algorithmic dependence in their calculated accessibility results.…”
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Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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Review of State Estimation Methods for Autonomous Ground Vehicles: Perspectives on Estimation Objects, Vehicle Characteristics, and Key Algorithms by Xiaoyu Wang, Te Chen, Renzhong Wang, Jiankang Lu, Guowei Dou

“…This paper reviews research on vehicle driving state estimation research. Based on the discussion of the importance, development history, and application fields of this topic of research, it focuses on analyzing vehicle state estimation techniques from different perspectives, namely (1) from the perspective of the estimation objects, including vehicle attitude and driving state estimations, chassis component key dynamic parameter estimations, and vehicle driving environment state estimations; (2) from the perspective of vehicle characteristics, including vehicle dynamics coupling characteristics, vehicle multi-source information redundancy characteristics, and vehicle state transition characteristics; (3) from the perspective of key estimation algorithms, including model-based Kalman filtering algorithms, data-driven machine learning algorithms, and optimization estimation algorithms combining mechanism-based and data-driven approaches. …”
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Refining instantaneous frequency estimation: Tackling abrupt transitions in aliased non-stationary signals by Sadiq Ali, Nabeel Ali Khan

“…The proposed Instantaneous Frequency estimation algorithm is further extended by adding a refinement mechanism where the crude estimates of Instantaneous Frequencies are further improved through the re-estimation stage. …”
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Estimation Algorithm of Machine Operational Intention by Bayes Filtering with Self-Organizing Map by Satoshi Suzuki, Fumio Harashima

“…We present an intention estimator algorithm that can deal with dynamic change of the environment in a man-machine system and will be able to be utilized for an autarkical human-assisting system. …”
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Stepwise fuzzy correction of the algorithm filters of random signals by A. A. Lobaty, A. S. Radkevich

“…It is assumed that the gauges are discrete and are described, like the original process assessed, by a discrete mathematical model in the form of difference equations. As an estimation algorithm, we consider a discrete Kalman filter, which, in the general case, when mathematical models are inadequate to real processes, can give distorted information. …”
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Estimation of Land Surface Evapotranspiration and Identification of Key Influencing Factors in the Zoige Forest–Grass Transition Zone by Xinzhu Lu, Huaiyong Shao, Yixi Kan, Shibin Liu, Chang Du, Qiufang Shao, Linsen Duan, Huan Xiao

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A multistate transition model for survival estimation in randomized trials with treatment switching and a cured subgroup by Haixia Hu, Ling Wang, Kejian Wu, Wei Ge, Jielai Xia, Chen Li

“…The particle swarm optimization algorithm is employed to estimate the model parameters. …”
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Prior Distribution Refinement for Reference Trajectory Estimation With the Monte Carlo-Based Localization Algorithm by Mark Griguletskii, Oleg Shipitko, Maxim Abramov, Egor Pristanskiy, Vladislav Kibalov, Anton Grigoryev

“…A robot localization problem demands a fair comparison of the positioning algorithms. A reference trajectory of the robot’s movement is needed to estimate errors and evaluate a quality of the localization. …”
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Estimation Algorithm for Vehicle Motion Parameters Based on Innovation Covariance in AC Chassis Dynamometer by Xiaorui Zhang, Xingyuan Xu, Hengliang Shi

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Transport Capacity Maximization in Rail Mass Transit Stations Under Uncertainty by Adrian Fernandez-Rodriguez, Maria Dominguez, Asuncion P. Cucala, Antonio Fernandez-Cardador

“…This paper introduces a two-level optimization model designed to maximize the practical transport capacity of mass transit railway stations. At the upper level, a genetic algorithm determines the optimal sequence of train services and platform assignments. …”
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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…Canola yield was estimated using selected vegetation indices derived from images, the percent cover of flowers, and the M5P Model Tree algorithm. …”
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Research on Modern Power Spectral Estimation on Radar Velocity Measurement by MEI Jialun, WANG Xiao, BAO Yansheng

“…Radar velocity measurement was widely used in the rail transit, while the algorithm was the key to the system. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…The cost function was derived from the characteristics of the segmented point clouds, which improves the robustness of the shape estimation algorithm. The multi-target tracking based on the track information raised the stability of target tracking. …”
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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

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Three-dimensional Underwater Dynamic Target Tracking Based on Adaptive Interactive Multi-model Algorithm by QIN Hongmao, YE Hongwei, CUI Qingjia, XU Biao, HU Manjiang

“…However, these models traditionally utilize fixed transition probabilities and turn rates based on prior information, potentially leading to imprecise state estimations. …”
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Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity by Smail Tigani

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Utilization of satellite data in determining hydropower potential to support energy security in new capital city region of Indonesia by Arno Adi Kuntoro, Azman Syah Barran Roesbianto, Mohammad Farid, Hadi Kardhana, Faizal Immaddudin Wira Rohmat, Akbar Rizaldi, Muhammad Syahril Badri Kusuma, Mohammad Bagus Adityawan, Ahmad Nur Wahid

“…Data calibration was applied, and discharge results were analyzed using a new diversion algorithm to estimate potential power output. Innovative resampling of headrace arrangements was introduced to mitigate potential hydropower conflict sites. …”
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Deep learning algorithm reveals probabilities of stage‐specific time to conversion in individuals with neurodegenerative disease LATE by Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng

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