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IET intelligent transport systems
Institution of Engineering and Technology
IET intelligent transport systems

Institution of Engineering and Technology

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1751-956X

IET intelligent transport systems/Journal IET intelligent transport systemsSCI
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    Guest Editorial: Intelligent Transportation Systems in Smart Cities for Sustainable Environments (SCfSE)

    1351-1352页
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    CVRRSS-CHD: Computer vision-related roadside surveillance system using compound hierarchical-deep models

    Jia MaoDou HongXi WangChing-Hsien Hsu...
    1353-1362页
    查看更多>>摘要：Recent years, Big Data, Cloud Computing and the advancement of the Internet of Things (IoT) played a major role in making smart city measures feasible. During this smart city, development, busy roadside activities and appropriate parking are considered as one of the major issues in the intelligent transportation system. Especially, in the city side region, the roadside activities are creating traffic misbehaviour problems which lead to various surveillance issues. So, in this study, the focus on the effective computer vision-related roadside surveillance system is created to reduce the unwanted traffic and misbehaviour issues. Initially, road traffic images are collected with the help of the IoT device, which is processed by noise reduction techniques to eliminate the noise. After that, the vehicle object is identified in terms of geometric pattern matching algorithm as named as compound hierarchical-deep models. Here, the geometric matching process is used to solve the uncertainty problems during the prediction of the vehicle in roadside activities. From the object detected data, roadside activities, such as vehicle position, occupancy, gap-related decision, have been handled with the help of a fuzzy-based decision-making system. Furthermore, the efficiency of the system has been evaluated using respective case studies and experimental analysis.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Review and synthesis of Big Data analytics and computing for smart sustainable cities

    Jinping ChangSeifedine Nimer KadrySujatha Krishnamoorthy
    1363-1370页
    查看更多>>摘要：There has been a great deal of movement around the idea of Smart City for quite a while. Urban areas are being distinguished as future shrewd urban areas. Hypothetically, at any rate, brilliant urban areas can on a very basic level transform ourselves at numerous levels, the execution of the smart city idea around the globe has been sporadic, the best-case scenario because of a few reasons. Whatever the stage the smart city usage is at internationally, big data, information and the Internet of things (IoT) can drive the execution. Huge information and the IoT are getting down to business with other programming and equipment to lead the vision of a smart city to realisation. Big information can help diminish outflows and cut down contamination. In this study, the adaptive heuristic mathematical model based on traffic congestion has been proposed. Sensors fitted in the streets will gauge the complete traffic at various occasions of multi-day and the all-out emissions. The information can be sent to a focal unit which will organise with the traffic police using sustainable management techniques. Traffic can be overseen or redirected along different, less blocked territories to lessen carbon outflows in a specific territory. Sustainable management analysis has been done based on numerical simulations.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    R&D investment in new energy vehicles with purchase subsidy based on technology adoption life cycle and customers’ choice behaviour

    Xiao FengBo HuangYuyu Li
    1371-1377页
    查看更多>>摘要：Improving the efficiency of subsidy policy to better promote R&D investment in new energy vehicles (NEVs) is of great strategic importance for reducing greenhouse gas emissions and achieving sustainable development. Using the technology adoption life cycle theory, this paper proposes a tri-level programming model among a government, a NEVs manufacturer and customers to investigate the NEVs manufacturer's R&D investment strategies, the government's purchase subsidy policies, and customers' purchasing decisions. Through theoretical and numerical analysis, it is found that when the manufacturer is to maximize the sales, it commits R&D investment which maximizes sales of NEVs, or its entire R&D investment capital. When the manufacturer is to maximize its profit, it commits R&D investment which maximizes its profit, or makes the sales constraint satisfied. Purchase subsidy can raise the sales of NEVs, but cannot increase manufacturer's R&D investment, or even have a crowding-out effect on its R&D investment. These findings will help government improve the efficiency of purchase subsidy to better support the development of the NEVs industry.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Sustainable transportation system for electronic waste recycling from a social perspective

    Sheng LiangHuijin PiChing-Hsien HsuSeifedine Nimer Kadry...
    1378-1387页
    查看更多>>摘要：E-waste is currently identified as the world's fastest-growing waste stream. The key driver behind this trend is the rapid technological advancement and socio-economic development. When hazardous chemicals are not properly handled, e-waste may harm ecosystems and human well-being. Direct effects include releases of acids, heavy metal toxicity, carcinogens and indirect effects such as heavy metal bio-enlargement, acids enlargement and toxicity problems. In this study, a specific type of system is utilised to collect and transport the different types of hazardous e-waste using sustainable transportation with the decision-making trial and evaluation laboratory (DEMATEL). The proposed method of DEMATEL is utilised to identify the relationship and the degree of impact among determined e-waste recycling barriers. The experimental results suggest input material, lack of funds and most affecting factors that are required to be addressed for the improvement of e-waste recycling infrastructure.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Predictive model for battery life in IoT networks

    Praveen Kumar Reddy MaddikuntaGautam SrivastavaThippa Reddy GadekalluNatarajan Deepa...
    1388-1395页
    查看更多>>摘要：The internet of things (IoT) is prominently used in the present world. Although it has vast potential in several applications, it has several challenges in the real-world. One of the most important challenges is conservation of battery life in devices used throughout IoT networks. Since many IoT devices are not rechargeable, several steps to conserve the battery life of an IoT network can be taken using the early prediction of battery life. In this study, a machine learning based model implementing a random forest regression algorithm is used to predict the battery life of IoT devices. The proposed model is experimented on ‘Beach Water Quality – Automated Sensors’ data set generated from sensors in an IoT network from the city of Chicago, USA. Several pre-processing techniques like normalisation, transformation and dimensionality reduction are used in this model. The proposed model achieved a 97% predictive accuracy. The results obtained proved that the proposed model performs better than other state-of-art regression algorithms in preserving the battery life of IoT devices.
      原文链接:
    • NETL
    • NSTL
    • Wiley

    Safety assessment of vehicle behaviour based on the improved D–S evidence theory

    Xin ChengJingmei ZhouXiangmo Zhao
    1396-1402页
    查看更多>>摘要：Vehicle dangerous behaviour warning plays an important role to improve road traffic safety and efficiency, so a safety assessment method of vehicle behaviour based on the improved Dempster–Shafer (D–S) evidence theory is proposed. Firstly, through analysis of vehicle collision accident mechanism, some factors closely related to vehicle safety are extracted. Also, multiple sensors are synthetically utilised to collect information, which realises the awareness of vehicle state, road attribute, driving environment etc. Then vehicle behaviour identification is accomplished according to the parameter information of the vehicle-mounted sensors, as well as the related data of adjacent vehicles in vehicular <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ad hoc</italic> networks (VANET). Finally, a sequential type of weighted correction method based on evidence variance is used to integrate different levels of multi-source heterogeneous information and to achieve safety assessment of vehicle behaviour. The experimental results show that the improved D–S evidence theory reduces the evidence conflict, increasing the accuracy and reliability of vehicle behaviour safety assessment. The study solves the fundamental core problem of active safety warning in VANET and provides a new means of traffic accident warning for the road traffic management department.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Crack damage identification and localisation on metro train bogie frame in IoT using guided waves

    Ye ZhangQiang HaoGuoqiang CaiJiaojiao Lv...
    1403-1409页
    查看更多>>摘要：The Internet of Things (IoT) is one of the key components of metro train safety as an emerging development approach due to its great potential to advance environmental sustainability. A bogie is a key component for carrying a passenger's vehicle body. Its damage and defects can destroy fluent operations and better service for train operation. The critical problem of traditional non-destructive examination for bogie is the high cost of labour and environment. Because they are in effect only after the whole vehicle has to be split into many sub-components and paint removed. This study provides an IoT approach and practice for bogie crack identification of bogie. The presented method can achieve simple and efficient detection of damage with cheap PZT sensor network. Its advantages is that non-split work and non-removal paint pollution. Compared with traditional detection methods, this method is more sensitive to a small area of internal damage and can identify the level of damage and location of the bogie plate frame even with the dirty and non-smooth surface.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

    Alfred DanielKarthik SubburathinamBala Anand MuthuNewlin Rajkumar...
    1410-1417页
    查看更多>>摘要：In an autonomous vehicle (AV), in order to efficiently exploit the acquired resources, big data analyses will be a reliable source for extracting valuable information from various sensors and actuators. The data extracted with the combined ability of telematics and real-time investigation forms the vibrant asset for self-driving cars. To demonstrate the significances of big data analysis, this study proposes a competent architecture for real-time big data analysis for an AV, which indeed keeps pace with the latest trends and advancement concerning an emerging paradigm. There are a massive amount of sensors and independent systems needed to be realised for better competence in an AV, and the proposed model focuses on independent sensors that distinguish objects and handles visual information to decide the path. In order to attain the objective as mentioned above, a sensor fusion mechanism is proposed, which combines 3D camera sensor data and Lidar sensor information to provide an optimised solution for path selection. Furthermore, three algorithms, namely overlapping algorithm, sequential adding algorithm, the distance-focused algorithm is designed for higher efficiency in sensor fusion mechanism. The proposed methodology is for the best exploitation of the enormous dataset, meant for real-time processing for an AV.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet

    Passenger inflow control with hierarchical coordination for overloaded metro lines

    Huijuan ZhouYu LiuYu Zhao
    1418-1425页
    查看更多>>摘要：Due to the congestion in urban rail transit during peak hours, this study proposes a hierarchical coordinated passenger inflow control model for overloaded metro lines from three dimensions, namely line, station and ticket gate. The hierarchical structure divides the system into three control layers and the model is established using the linear programming method. An improved particle swarm optimisation (PSO) algorithm, combining the interior penalty function and the basic PSO algorithm, is used to find the optimal objective value. In addition, the objective function with the penalty function to transform the constrained optimisation problem into an unconstrained optimisation problem is developed to solve the model. Finally, a real-world instance with operation data of the Beijing Metro Line 5 is implemented to demonstrate the performance and effectiveness of the proposed approaches.
      原文链接:
    • NETL
    • NSTL
    • Inst Engineering Technology-Iet