Most recent issue published online in the International Journal of Vehicle Information and Communication Systems.
International Journal of Vehicle Information and Communication Systems
http://www.inderscience.com/browse/index.php?journalID=51&year=2024&vol=9&issue=1
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International Journal of Vehicle Information and Communication Systems
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© 2024 Inderscience Enterprises Ltd.
© 2024 Inderscience Publishers Ltd
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International Journal of Vehicle Information and Communication Systems
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http://www.inderscience.com/browse/index.php?journalID=51&year=2024&vol=9&issue=1
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Experimental study of the weather effects on LoRa-based vehicular communications
http://www.inderscience.com/link.php?id=136272
Long-range (LoRa) nodes, which work in the sub-GHz frequency bands, are used in IoT applications and in vehicular environments. Deployment of these low-power long-range sensor nodes requires better analysis of the link quality and weather and environmental conditions. In literature very little information is available about the impact of weather conditions on the performance of LoRa-based applications. The impact of the height and the shaded region will also impact the link quality. The suburban and urban environment is considered in this paper to evaluate the performance of the several link qualities under the weather conditions such as fog, humidity, temperature, shaded region and the impact of height. Regular pattern of RSSI is analysed and PDR values are presented to understand the impact of the weather conditions and other effects on the link quality. Real outdoor test bed experimentation was performed to validate the results. We have observed that increase in temperature degrades the RSSI value which further lowers the PDR. These two parameters can be improved by increasing SF value. Humidity and height of node also affect the RSSI value. The given work can help in outdoor LoRa node deployment for various modes of vehicular communications.
Experimental study of the weather effects on LoRa-based vehicular communications
Jetendra Joshi; Ajay Kumar Singh
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 1 - 33
Long-range (LoRa) nodes, which work in the sub-GHz frequency bands, are used in IoT applications and in vehicular environments. Deployment of these low-power long-range sensor nodes requires better analysis of the link quality and weather and environmental conditions. In literature very little information is available about the impact of weather conditions on the performance of LoRa-based applications. The impact of the height and the shaded region will also impact the link quality. The suburban and urban environment is considered in this paper to evaluate the performance of the several link qualities under the weather conditions such as fog, humidity, temperature, shaded region and the impact of height. Regular pattern of RSSI is analysed and PDR values are presented to understand the impact of the weather conditions and other effects on the link quality. Real outdoor test bed experimentation was performed to validate the results. We have observed that increase in temperature degrades the RSSI value which further lowers the PDR. These two parameters can be improved by increasing SF value. Humidity and height of node also affect the RSSI value. The given work can help in outdoor LoRa node deployment for various modes of vehicular communications.]]>
10.1504/IJVICS.2024.136272
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 1 - 33
Jetendra Joshi
Ajay Kumar Singh
ECE Department, NIIT University, Jaipur, Neemrana, Rajasthan, India ' ECE Department, NIIT University, Jaipur, Neemrana, Rajasthan, India
humidity
temperature
weather condition
long-range technology
PHY settings
2024-01-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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33
2024-01-25T23:20:50-05:00
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Driving style recognition of highway-driving semi-trailer at different altitudes
http://www.inderscience.com/link.php?id=136267
Driving style provides information about driving behaviour and the driving environment, which reflects the driver's operation while driving. High altitudes can significantly influence the human body, thereby affecting driving ability. Consequently, accurately recognising driving styles at different altitudes has significant implications for driving safety, road design and fuel economy. This paper proposes a method that incorporates data processing, feature selection, a Bi-LSTM autoencoder and spectral clustering to address this issue. Based on the analysis of real-driving data experiments, three driving styles were identified as calm, moderate and aggressive. These styles accounted for 46%, 19% and 36% in plateau driving and 33%, 29% and 38% in plain driving. The results demonstrate how the proposed method can effectively recognise driving styles at different altitudes with fewer features. Additionally, driving styles remained relatively consistent for the same driver driving at varying altitudes, despite changes in vehicle performance.
Driving style recognition of highway-driving semi-trailer at different altitudes
Ke Liang; Huasheng Chen; Yu Ye; Song Zhang; Mingzhang Pan
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 34 - 59
Driving style provides information about driving behaviour and the driving environment, which reflects the driver's operation while driving. High altitudes can significantly influence the human body, thereby affecting driving ability. Consequently, accurately recognising driving styles at different altitudes has significant implications for driving safety, road design and fuel economy. This paper proposes a method that incorporates data processing, feature selection, a Bi-LSTM autoencoder and spectral clustering to address this issue. Based on the analysis of real-driving data experiments, three driving styles were identified as calm, moderate and aggressive. These styles accounted for 46%, 19% and 36% in plateau driving and 33%, 29% and 38% in plain driving. The results demonstrate how the proposed method can effectively recognise driving styles at different altitudes with fewer features. Additionally, driving styles remained relatively consistent for the same driver driving at varying altitudes, despite changes in vehicle performance.]]>
10.1504/IJVICS.2024.136267
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 34 - 59
Ke Liang
Huasheng Chen
Yu Ye
Song Zhang
Mingzhang Pan
College of Mechanical Engineering, Guangxi University, Nanning, Guangxi, China; Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology, College of Mechanical Engineering, Guangxi University, Nanning, Guangxi, China ' College of Mechanical Engineering, Guangxi University, Nanning, Guangxi, China ' Guangxi Yuchai Machinery Group Co., Ltd., Yulin, Guangxi, China ' Guangxi Yuchai Machinery Group Co., Ltd., Yulin, Guangxi, China ' College of Mechanical Engineering, Guangxi University, Nanning, Guangxi, China
driving style recognition
whale optimisation algorithm
feature selection
Bi-LSTM
autoencoder
spectral clustering
2024-01-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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2024-01-25T23:20:50-05:00
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Performance analysis of routing protocols for vehicular networks
http://www.inderscience.com/link.php?id=136276
With the advancement in the transportation system the need for faster data dissemination is the prime requirement of the network. VANET is a widely used network worldwide because of its specific characteristics. The high mobility and dynamic environment can be easily coped with using Ad-hoc On-demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) routing protocols, which have been widely employed in various vehicular environments. Different metrics such as node density, node speed, bit rate, communication range and traffic pattern are not investigated properly. In this paper, we focus on multimeric approach to evaluate the performance of AODV and GPSR in five different scenarios in an urban environment using NS2 simulator. The in-depth impact of the metrics on the performance of routing protocols are investigated and the QoS parameters is measured which will help in the fast data dissemination, low latency and high throughput requirement fulfilment for the given vehicular environment.
Performance analysis of routing protocols for vehicular networks
Jetendra Joshi; Ajay Kumar Singh
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 60 - 80
With the advancement in the transportation system the need for faster data dissemination is the prime requirement of the network. VANET is a widely used network worldwide because of its specific characteristics. The high mobility and dynamic environment can be easily coped with using Ad-hoc On-demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) routing protocols, which have been widely employed in various vehicular environments. Different metrics such as node density, node speed, bit rate, communication range and traffic pattern are not investigated properly. In this paper, we focus on multimeric approach to evaluate the performance of AODV and GPSR in five different scenarios in an urban environment using NS2 simulator. The in-depth impact of the metrics on the performance of routing protocols are investigated and the QoS parameters is measured which will help in the fast data dissemination, low latency and high throughput requirement fulfilment for the given vehicular environment.]]>
10.1504/IJVICS.2024.136276
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 60 - 80
Jetendra Joshi
Ajay Kumar Singh
ECE Department, NIIT University, Neemrana, Rajasthan, India ' ECE Department, NIIT University, Neemrana, Rajasthan, India
traffic pattern
vehicle routing
VANETs
AODV
GPSR
intelligent transportation systems
2024-01-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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80
2024-01-25T23:20:50-05:00
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Real-time voice-controlled human machine interface system for wheelchairs implementation using Raspberry Pi
http://www.inderscience.com/link.php?id=136273
The article describes the development of a wheelchair prototype designed to facilitate the mobility of people with disabilities. The proposed system is based on voice commands to ensure communication between humans and machines. The system consists of two modules. The first module involves the detection, processing and classification of actual voice signals acquired from a mobile phone. This module incorporates a robust and excellent speech recognition strategy. Indeed, the combination of Mel Frequency Cepstral Coefficients (MFCC) and the Discrete Wavelet Transform (DWT) in signal processing and feature extraction allows for better performance, achieving an effective recognition rate of 100% for an SNR of 5 db. The second module presents the mechanical design and development of the actual prototype, which enables real-time simulation of the first module. This module is based on a Raspberry Pi 3 board with a Linux operating kernel. Finally, tests carried out on the designed wheelchair prototype have demonstrated its efficiency, robustness and excellent response to critical situations, particularly obstacles.
Real-time voice-controlled human machine interface system for wheelchairs implementation using Raspberry Pi
Aymen Mnassri; Sihem Nasri; Mohammed Boussif; Adnane Cherif
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 81 - 102
The article describes the development of a wheelchair prototype designed to facilitate the mobility of people with disabilities. The proposed system is based on voice commands to ensure communication between humans and machines. The system consists of two modules. The first module involves the detection, processing and classification of actual voice signals acquired from a mobile phone. This module incorporates a robust and excellent speech recognition strategy. Indeed, the combination of Mel Frequency Cepstral Coefficients (MFCC) and the Discrete Wavelet Transform (DWT) in signal processing and feature extraction allows for better performance, achieving an effective recognition rate of 100% for an SNR of 5 db. The second module presents the mechanical design and development of the actual prototype, which enables real-time simulation of the first module. This module is based on a Raspberry Pi 3 board with a Linux operating kernel. Finally, tests carried out on the designed wheelchair prototype have demonstrated its efficiency, robustness and excellent response to critical situations, particularly obstacles.]]>
10.1504/IJVICS.2024.136273
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 81 - 102
Aymen Mnassri
Sihem Nasri
Mohammed Boussif
Adnane Cherif
Department of Physics, Faculty of Sciences of Tunis El Manar, University of Tunis El Manar, Belvedere, Tunis, Tunisia ' Department of Physics, Faculty of Sciences of Tunis El Manar, University of Tunis El Manar, Belvedere, Tunis, Tunisia ' Department of Physics, Faculty of Sciences of Tunis El Manar, University of Tunis El Manar, Belvedere, Tunis, Tunisia ' Department of Physics, Faculty of Sciences of Tunis El Manar, University of Tunis El Manar, Belvedere, Tunis, Tunisia
wheelchair
speech recognition
HMI
human-machine-interface
real-time
Raspberry Pi
mobile phone
2024-01-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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102
2024-01-25T23:20:50-05:00
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Performance analysis of pentagonal MIMO antenna with elliptical slots for 5G V2V communication
http://www.inderscience.com/link.php?id=136268
The purpose of this research is to develop a slotted pentagonal MIMO antenna specifically for 5G Vehicle-to-Vehicle (V2V) communication. The proposed antenna takes the shape of a pentagon with elliptical slots, and the feed is positioned slightly away from the centre to optimise gain. V2V communication relies on antennas that can effectively capture signals even while in motion within a vehicle. The proposed antenna supports dual operating bands, enabling it to operate in the required frequency ranges. In the 5G frequency spectrum, the antenna achieves a maximum gain of 7.34 dB, which can significantly enhance V2V communication capabilities. The presence of elliptical slots enables the antenna to focus the transmitted and received signals in specific directions, improving signal strength, directivity, coverage and overall system performance. These characteristics make it well-suited for enabling reliable and efficient V2V communication in the context of 5G networks.
Performance analysis of pentagonal MIMO antenna with elliptical slots for 5G V2V communication
A. Amsaveni; L. Harish; S. Rashmi; A. Kaiser
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 103 - 113
The purpose of this research is to develop a slotted pentagonal MIMO antenna specifically for 5G Vehicle-to-Vehicle (V2V) communication. The proposed antenna takes the shape of a pentagon with elliptical slots, and the feed is positioned slightly away from the centre to optimise gain. V2V communication relies on antennas that can effectively capture signals even while in motion within a vehicle. The proposed antenna supports dual operating bands, enabling it to operate in the required frequency ranges. In the 5G frequency spectrum, the antenna achieves a maximum gain of 7.34 dB, which can significantly enhance V2V communication capabilities. The presence of elliptical slots enables the antenna to focus the transmitted and received signals in specific directions, improving signal strength, directivity, coverage and overall system performance. These characteristics make it well-suited for enabling reliable and efficient V2V communication in the context of 5G networks.]]>
10.1504/IJVICS.2024.136268
International Journal of Vehicle Information and Communication Systems, Vol. 9, No. 1 (2024) pp. 103 - 113
A. Amsaveni
L. Harish
S. Rashmi
A. Kaiser
Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India
V2V
5G frequency bands
MIMO
antenna
communication
2024-01-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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113
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