A Method of Vehicle Route Prediction Based on Social Network Analysis

Ye, Ning; Wang, Zhongqin; Malekian, Reza; Zhang, Yingya; Wang, Ruchuan

doi:10.1155/2015/210298

Cited by 24 publications

(13 citation statements)

References 15 publications

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“…The data of these communication styles is similar but not compatible because of the lack of unified interaction interfaces. (2) Due to the lack of service contents [80,81] and service styles, the information is transferred from the ship terminal to the coast station only to meet the requirement of the administration. A general service platform should be established to provide various information services.…”

Section: The Limit Of Transmission For the Waterway Traffic Informationmentioning

confidence: 99%

The Development of Key Technologies in Applications of Vessels Connected to the Internet

Tian

Liu

et al. 2017

Symmetry

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Abstract:With the development of science and technology, traffic perception, communication, information processing, artificial intelligence and the shipping information system have become important in supporting the realization of intelligent shipping transportation. Against this background, the Internet of Vessels (IoV) is proposed to integrate all these advanced technologies into a platform to meet the requirements of international and regional transportations. The purpose of this paper is to analyze how to benefit from the Internet of Vessels to improve the efficiency and safety of shipping, and promote the development of world transportation. In this paper, the IoV is introduced and its main architectures are outlined. Furthermore, the characteristics of the Internet of Vessels are described. Several important applications that illustrate the interaction of the Internet of Vessels' components are proposed. Due to the development of the Internet of Vessels still being in its primary stage, challenges and prospects are identified and addressed. Finally, the main conclusions are drawn and future research priorities are provided for reference and as professional suggestions for future researchers in this field.

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Section: The Limit Of Transmission For the Waterway Traffic Informationmentioning

confidence: 99%

The Development of Key Technologies in Applications of Vessels Connected to the Internet

Tian

Liu

et al. 2017

Symmetry

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“…Following the principle of reliability, stability and security (Gong et al 2016;Wang et al 2016), we designed a dynamic data acquisition system for energy efficiency measurement. This system has fully considered the character of the object ship and the navigation environment (Ye et al 2015;Prinsloo and Malekian 2016) of the voyage segment, and met the requirement of further analysis.…”

Section: Ship Energy Efficiency Monitoring Systemmentioning

confidence: 99%

Analysis of the operational ship energy efficiency considering navigation environmental impacts

Yuan

Malekian

et al. 2017

Journal of Marine Engineering & Technology

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In this study, a remote collecting system for ship operation energy efficiency was designed by using a tourist ship. According to measured data, the navigation environment factors of the ship were analysed statistically. The Gray correlation analysis was used to study the correlation degree among wind, water depth, water velocity and ship operation energy efficiency. On this basis, the Wuhan-Nanjing section of Yangtze River (upstream and downstream) was selected to analyse the law of wind speed effect on the energy efficiency of ship operation. The data analysis demonstrates that in different navigation environments, the ship energy efficiency can be significantly improved by optimising the main engine speed.

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“…In addition, the diversification of the moving vehicle environment also makes the problem more complex. How to accurately predict the location information of the driving vehicle is a difficult problem needed to be solved collectively [6]. There are already some research results, such as the clustering of moving objects, the anomaly detection, the location and the prediction of movement trend, where the driving vehicle position prediction technology is continuously improved, but because of the theory and technology of the immature, most models can't be well adapted to the needs of moving vehicle position prediction [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Vehicle trajectory prediction based on Hidden Markov Model

Ye¹,

Zhang²,

Wang³

et al. 2016

KSII TIIS

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In Intelligent Transportation Systems (ITS), logistics distribution and mobile e-commerce, the real-time, accurate and reliable vehicle trajectory prediction has significant application value. Vehicle trajectory prediction can not only provide accurate location-based services, but also can monitor and predict traffic situation in advance, and then further recommend the optimal route for users. In this paper, firstly, we mine the double layers of hidden states of vehicle historical trajectories, and then determine the parameters of HMM (hidden Markov model) by historical data. Secondly, we adopt Viterbi algorithm to seek the double layers hidden states sequences corresponding to the just driven trajectory. Finally, we propose a new algorithm (DHMTP) for vehicle trajectory prediction based on the hidden Markov model of double layers hidden states, and predict the nearest neighbor unit of location information of the next k stages. The experimental results demonstrate that the prediction accuracy of the proposed algorithm is increased by 18.3% compared with TPMO algorithm and increased by 23.1% compared with Naive algorithm in aspect of predicting the next k phases' trajectories, especially when traffic flow is greater, such as this time from weekday morning to evening. Moreover, the time performance of DHMTP algorithm is also clearly improved compared with TPMO algorithm.

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A Method of Vehicle Route Prediction Based on Social Network Analysis

Cited by 24 publications

References 15 publications

The Development of Key Technologies in Applications of Vessels Connected to the Internet

The Development of Key Technologies in Applications of Vessels Connected to the Internet

Analysis of the operational ship energy efficiency considering navigation environmental impacts

Vehicle trajectory prediction based on Hidden Markov Model

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