Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.10059804
Sihao Wei, Wei Deng
{"title":"Deep learning-based forecasting of port cargo throughput using PCA and error correction multivariate LSTM","authors":"Sihao Wei, Wei Deng","doi":"10.1504/ijhvs.2023.10059804","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.10059804","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.10060077
Zhang Liwei, Song Zhongchao, Zhang Menglei, Jiao Yanbin
{"title":"Research on an all-axle active steering control strategy of articulated vehicles based on feedforward-feedback control","authors":"Zhang Liwei, Song Zhongchao, Zhang Menglei, Jiao Yanbin","doi":"10.1504/ijhvs.2023.10060077","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.10060077","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134883549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.134320
Islam A. Hassan, Tamer Attia, H. Ragheb, A.M. Sharaf
This paper presents a unmanned ground vehicles (UGV) path tracking controller based on deep reinforcement learning (DRL), where a double deep Q-network (DDQN) algorithm is employed to train a deep neural network (DNN) for controlling the UGV to follow the desired path. The advantage of DDQN over deep Q-network (DQN) is that the DDQN uses two NNs, where one is working as a controller to generate actions for controlling the UGV, while the other is the target network to estimate the future rewards. The path tracking UGV kinematic is presented to determine the deviated distance and orientation between the UGV's pose and the desired path. White noise was added to the UGV wheels' speed for evaluating the robustness of the proposed controller. The simulation results illustrate that the trained controller enables the UGV to follow the desired trajectory in the presence of noisy actuation with high accuracy.
{"title":"Design of unmanned ground vehicle (UGV) path tracking controller based on reinforcement learning","authors":"Islam A. Hassan, Tamer Attia, H. Ragheb, A.M. Sharaf","doi":"10.1504/ijhvs.2023.134320","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.134320","url":null,"abstract":"This paper presents a unmanned ground vehicles (UGV) path tracking controller based on deep reinforcement learning (DRL), where a double deep Q-network (DDQN) algorithm is employed to train a deep neural network (DNN) for controlling the UGV to follow the desired path. The advantage of DDQN over deep Q-network (DQN) is that the DDQN uses two NNs, where one is working as a controller to generate actions for controlling the UGV, while the other is the target network to estimate the future rewards. The path tracking UGV kinematic is presented to determine the deviated distance and orientation between the UGV's pose and the desired path. White noise was added to the UGV wheels' speed for evaluating the robustness of the proposed controller. The simulation results illustrate that the trained controller enables the UGV to follow the desired trajectory in the presence of noisy actuation with high accuracy.","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.134312
M.Z. Abdul Manaf, K. Hudha, P.M. Samin, S.A.A. Bakar
The analysis of the longitudinal load transfer in a tractor-semitrailer provides vital information on the magnitude of the loads transferred between the tractor unit and the semitrailer unit. This study aims to develop a tractor-semitrailer longitudinal model for load transfer analysis based on a two-axle tractor and a single-axle semitrailer connected through a fifth-wheel hitch system. The model is simulated in the MATLAB Simulink software and verified using qualitative and quantitative comparison methods between the simulation and TruckSim data through the sudden acceleration and harsh braking tests. The dynamic behaviour of the developed tractor-semitrailer model agrees well with the TruckSim dynamic behaviour with an acceptable RMS error of less than 5%. The analysis of the longitudinal load transfer found that the load transfer during the harsh braking test had higher magnitudes and longer duration of existence than the sudden acceleration test.
{"title":"Modelling and verification of a 12-DOF tractor-semitrailer longitudinal model for load transfer analysis","authors":"M.Z. Abdul Manaf, K. Hudha, P.M. Samin, S.A.A. Bakar","doi":"10.1504/ijhvs.2023.134312","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.134312","url":null,"abstract":"The analysis of the longitudinal load transfer in a tractor-semitrailer provides vital information on the magnitude of the loads transferred between the tractor unit and the semitrailer unit. This study aims to develop a tractor-semitrailer longitudinal model for load transfer analysis based on a two-axle tractor and a single-axle semitrailer connected through a fifth-wheel hitch system. The model is simulated in the MATLAB Simulink software and verified using qualitative and quantitative comparison methods between the simulation and TruckSim data through the sudden acceleration and harsh braking tests. The dynamic behaviour of the developed tractor-semitrailer model agrees well with the TruckSim dynamic behaviour with an acceptable RMS error of less than 5%. The analysis of the longitudinal load transfer found that the load transfer during the harsh braking test had higher magnitudes and longer duration of existence than the sudden acceleration test.","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.132993
V. Suresh, S. Sudabattula, N. Prabaharan, R. Sitharthan, M. Rajesh
{"title":"An integrated approach for scheduling electric vehicles and distributed generators in a smart distribution system","authors":"V. Suresh, S. Sudabattula, N. Prabaharan, R. Sitharthan, M. Rajesh","doi":"10.1504/ijhvs.2023.132993","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.132993","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"33 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72996725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.131982
Yong-Jea Park, Kwang-Hee Lee, Chul-Hee Lee
{"title":"Strength analysis of energy absorbing protective structure for excavator","authors":"Yong-Jea Park, Kwang-Hee Lee, Chul-Hee Lee","doi":"10.1504/ijhvs.2023.131982","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.131982","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79574403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.134704
Yung Chang Cheng, Cheng Kang Lee, Chia Ling Hsieh
This paper presents an innovative optimisation procedure, combining uniform design (UD) and the efficient global optimisation (EGO) algorithm, to generate a set of robust suspension parameters in a railway vehicle model. Nonlinear dynamic analysis of a 31 degree-of-freedom (DOF) railway vehicle model was determined using Kalker's linear theory and heuristic nonlinear creep criterion. To increase running safety, optimisation design for suspension parameters is introduced to make the performance more robust and reduce the sensitivity to noise. Considering the noise factors, vehicle speed and rail irregularity, the dynamic response and derailment quotient are obtained by the Runge-Kutta method. By applying uniform design (UD), Kriging interpolation and efficient global optimisation (EGO) algorithm, the best signal-to-noise ratio of the derailment quotient is increased from 12.05 dB to 31.3 dB, or 160%. The numerical results indicate that the optimal and robust design of suspension parameters has been determined successfully by the novel optimisation process.
{"title":"Robust and optimal design of railway vehicle system for derailment risk using efficient global optimisation method","authors":"Yung Chang Cheng, Cheng Kang Lee, Chia Ling Hsieh","doi":"10.1504/ijhvs.2023.134704","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.134704","url":null,"abstract":"This paper presents an innovative optimisation procedure, combining uniform design (UD) and the efficient global optimisation (EGO) algorithm, to generate a set of robust suspension parameters in a railway vehicle model. Nonlinear dynamic analysis of a 31 degree-of-freedom (DOF) railway vehicle model was determined using Kalker's linear theory and heuristic nonlinear creep criterion. To increase running safety, optimisation design for suspension parameters is introduced to make the performance more robust and reduce the sensitivity to noise. Considering the noise factors, vehicle speed and rail irregularity, the dynamic response and derailment quotient are obtained by the Runge-Kutta method. By applying uniform design (UD), Kriging interpolation and efficient global optimisation (EGO) algorithm, the best signal-to-noise ratio of the derailment quotient is increased from 12.05 dB to 31.3 dB, or 160%. The numerical results indicate that the optimal and robust design of suspension parameters has been determined successfully by the novel optimisation process.","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135505029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.10060182
Ali Soleimani, Mehdi Salehi, Sayed Hasan Mirtalaie, Mohammad Saadat, Sajjad Sattari
{"title":"Effects of train speed, track irregularities, and wheel flat on wheel-rail dynamic forces","authors":"Ali Soleimani, Mehdi Salehi, Sayed Hasan Mirtalaie, Mohammad Saadat, Sajjad Sattari","doi":"10.1504/ijhvs.2023.10060182","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.10060182","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135318481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijhvs.2023.10060180
Kundan Meshram
{"title":"Integrating machine learning with ITS for effective traffic management under road development conditions","authors":"Kundan Meshram","doi":"10.1504/ijhvs.2023.10060180","DOIUrl":"https://doi.org/10.1504/ijhvs.2023.10060180","url":null,"abstract":"","PeriodicalId":54958,"journal":{"name":"International Journal of Heavy Vehicle Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135319005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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