Article
Green & Sustainable Science & Technology
Liang Zou, Suiying Hu, Lingxiang Zhu
Summary: This paper proposes a method for calculating walking time in metro stations that takes into account the influence of passenger flow. Firstly, the characteristics of time, entry and exit direction, and volume distribution of station passenger flow are analyzed, and the threshold of passenger flow that affects walking time is defined. Then, an entry and exit walking time calculation model is established using five independent travel time chains and three station walking time constraints, and the transfer walking time is calculated based on the entry and exit walking time results. Finally, the accuracy and validity of the walking time projection model are verified using the calculation results. The results show that the calculation results are accurate, with a model validity of 91.5%, and the constraint effect on walking time at station time is most obvious when the passenger flow reaches 3000 passengers per 30 min.
Article
Energy & Fuels
Shengwei Quan, Ya-Xiong Wang, Xuelian Xiao, Hongwen He, Fengchun Sun
Summary: In this paper, a vehicle speed prediction model predictive control (SP-MPC) energy management strategy is proposed for the hybrid power system in fuel cell electric vehicles, aiming to improve the control performance by enhancing disturbance description accuracy. The SP-MPC strategy demonstrates a reduction in total operation cost compared to other strategies, showing better robustness to disturbance prediction inaccuracy. Additionally, a DSP hardware in loop (HIL) test is conducted for real-time performance verification.
Article
Environmental Studies
Mingtao Song, Feng Chen, Xiaoxiang Ma
Summary: Research has found that the average fuel-saving rate for a two-truck platoon is 3.8-8.9% when the longitudinal interval varies from 5L to 0.5L. As the number of trucks increases, the fuel-saving rate grows at a decreasing rate. Lateral offset is effective in organizing a two-truck platoon, resulting in a decrease in pavement fatigue damage and fuel savings.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Jianguo Duan, Jiahui Wang
Summary: By considering two energy-saving measures and batch transportation rule, a dynamic scheduling mathematical model for flexible job shop is established, and the NSGA-II algorithm is used to effectively reduce energy consumption and maximum completion time.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Marine
Xiaohe Li, Baozhi Sun, Jianhai Jin, Jun Ding
Summary: This study proposes a route segmentation and weather loading-speed optimization iterative algorithm based on machine learning models for fuel consumption and shaft speed prediction. The algorithm effectively reduces the difference between optimized fuel consumption and actual fuel consumption, achieving a fuel-saving rate between 2.1% and 5.2%.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Zhang Bin, You Shijun, Zhang Lanfang, Li Daming, Chen Yalan
Summary: This paper studies the characteristics of the neutral section to optimize the operating curves of high-speed trains. The proposed method is feasible and close to reality. Numerical results show that the proposed model and solution methodology are efficient and achieve an energy-efficient effect of 1.43%.
Article
Chemistry, Multidisciplinary
Wenqi Gao, Youxue Wang, Yang Yang, Sanxi Peng, Songping Yu, Lu Liu, Lei Yan
Summary: We used the ray tracing technique based on the IASP91 Earth model to calculate travel times and identify seismic phases. This technique accurately calculates travel times for seismic phases found in conventional travel time tables. We analyzed and discussed waveform data received from stations in the Guangxi area. Our numerical modeling results show good agreement with the theoretical travel times from the ISAP91 tables. The validity of using correlation analysis to pick seismic phases and determine travel times is demonstrated.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Weifeng Zhong, Shukai Li, Hongze Xu, Wenjing Zhang
Summary: This paper focuses on the online generation problem of energy-saving train speed profile in high-speed railway, taking into account dynamic operational conditions. Using the model predictive control framework, the problem is formulated in a moving-horizon manner, allowing for real-time running conditions to be involved in the online scheduling process of the train. A hybrid scheme combining energy-efficient and time-optimal train control strategies is proposed to ensure feasibility within the prediction horizon. The problem is transformed into a multi-phase optimal control problem and efficiently solved online using the pseudospectral method. Numerical examples with real high-speed railway line data demonstrate the effectiveness and robustness of the proposed approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Thermodynamics
Jibin Yang, Xiaohui Xu, Yiqiang Peng, Pengyi Deng, Xiaohua Wu, Jiye Zhang
Summary: This paper proposes a hierarchical optimization energy management strategy that considers speed profiles, aiming to achieve energy-saving and reasonable power distribution in a tramway system.
Article
Computer Science, Artificial Intelligence
Yi Ding, Linjing Zhang, Chao Huang, Rong Ge
Summary: This study presents a travel itinerary planning problem considering total time limit and uncertain traffic time, and constructs a two-stage stochastic optimization model. The results show that compared with benchmark models, this model can significantly improve the reliability level of travel itineraries.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Information Systems
Jooin Lee, Hyeongcheol Lee
Summary: This paper presents a nonlinear model predictive control based adaptive equivalent consumption minimization strategy for fuel cell hybrid electric bus. The strategy considers the average travel speed profile and determines the optimal control input by considering the battery current-rate and the fuel cell balance-of-plant. The proposed energy management system is compared with dynamic programming using actual bus route based real-driving scenarios, and the results show similar control inputs with reasonable computation time.
Article
Engineering, Electrical & Electronic
Jian Feng, Zhiyu Han, Zhenkuo Wu, Minqing Li
Summary: A new equivalent consumption minimization strategy (ECMS) is proposed for a hybrid electric vehicle, which dynamically adjusts the equivalent factor based on speed and optimizes fuel economy and battery performance using neural network and fuzzy logic controller. The simulated results show that the strategy improves fuel economy while reducing peak battery charging and discharging currents, leading to better battery SOC evolution.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Obada Asqool, Suhana Koting, Ahmad Saifizul
Summary: The study found that the Jang algorithm performed the best for two of the three routes with lane-splitting observations, while the TransGuide algorithm was the best for one route. However, the parameters of both algorithms are sensitive to different dates and require daily calibration for acceptable results.
Article
Engineering, Civil
Hanqing Xia, Xiaoming Liu, Zechao Ma, Fang Zhu, Lin Zhang, Yingjie Zhao, Yuanrong Wang
Summary: This paper proposes a method for estimating the speed and position of unsampled vehicles using sampled data from connected automated vehicles. A velocity estimation model incorporating a speed correction factor and a position estimation model based on optimizing IDM parameters are developed. Experimental results demonstrate the accuracy and practicality of the proposed method under different density and penetration rate conditions.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Engineering, Manufacturing
Dun Lyu, Yanhong Song, Han Liu, Hui Liu, Dawei Wang, Huijie Zhang
Summary: A calculation method of cutter location (CL) points considering corner transition speed in CNC is proposed in this study. The key geometric parameters affecting the corner speed are analyzed, and an objective function is established to connect the CL points calculation in CAM and the corner transition speed in CNC. By solving the objective function, the calculation method of the CL points is developed and its effectiveness is verified through experiments. Compared with the commonly used iso-chord height method, the proposed method increases the speed at the corner of the CL points and reduces acceleration and jerk at the same time. It significantly improves tracking accuracy, trajectory accuracy, and machining efficiency, and can be integrated into CAM software to generate high-quality CL points.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Computer Science, Information Systems
Ignacio Soto, Felipe Jimenez, Maria Calderon, Jose E. Naranjo, Jose J. Anaya
Article
Chemistry, Analytical
Carlos Martinez, Felipe Jimenez
Editorial Material
Chemistry, Analytical
Felipe Jimenez
Article
Chemistry, Analytical
Sofia Sanchez-Mateo, Elisa Perez-Moreno, Felipe Jimenez
Article
Green & Sustainable Science & Technology
Luid Pereira de Oliveira, Felipe Jimenez Alonso, Marcelino Aurelio Vieira da Silva, Breno Tostes de Gomes Garcia, Diana Mery Messias Lopes
Article
Chemistry, Analytical
Alberto Diaz-Alvarez, Miguel Clavijo, Felipe Jimenez, Francisco Serradilla
Summary: Most of the tactic manoeuvres during driving require a certain understanding of the surrounding environment to devise future behavior. A Convolutional Neural Network (CNN) approach is used in this paper to model lane change behavior, which can be used as a new source of data in various scenarios.
Article
Chemistry, Analytical
Felipe Jimenez, Miguel Clavijo, Alejandro Cerrato
Summary: Autonomous parking valet systems can enhance user comfort by assisting with parking space search and maneuvering. This paper focuses on integrating perception, positioning, decision-making, and maneuvering algorithms for autonomous vehicles in parking lots, using a single LiDAR sensor without additional infrastructure sensors. Tests in a real parking lot with metallic canopies showed accurate behavior.
Editorial Material
Chemistry, Multidisciplinary
Felipe Jimenez
APPLIED SCIENCES-BASEL
(2022)
Article
Mathematics
Miguel Clavijo, Felipe Jimenez, Francisco Serradilla, Alberto Diaz-Alvarez
Summary: This paper proposes an approach to address the estimation of ego-vehicle positioning from 3D LiDAR data using perception sensors and deep learning techniques. The limitations of this approach are analyzed.
Editorial Material
Chemistry, Analytical
Felipe Jimenez
Article
Engineering, Multidisciplinary
A. S. J. Cervera, F. J. Alonso, F. S. Garcia, A. D. Alvarez
SCIENCE & TECHNIQUE
(2020)
Proceedings Paper
Automation & Control Systems
Alberto Diaz-Alvarez, Francisco Serradilla-Garcia, Felipe Jimenez-Alonso, Edgar Talavera-Munoz, Cristina Olaverri-Monreal
2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19)
(2019)
Article
Engineering, Multidisciplinary
S. Sanchez-Mateo, E. Perez-Moreno, F. Jimenez, F. Serradilla, A. Cruz Ruiz, S. de la Fuente Tamayo
SCIENCE & TECHNIQUE
(2019)
Article
Psychology, Applied
Luid Pereira de Oliveira, Bruno Morais Lemos, Marcelino Aurelio Vieira da Silva, Felipe Jimenez Alonso, Ricardo Cesar da Silva Guabiroba
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2019)
Article
Psychology, Applied
Alberto Diaz-Alvarez, Miguel Clavijo, Felipe Jimenez, Edgar Talavera, Francisco Serradilla
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2018)