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  • Open Access


    3D Road Network Modeling and Road Structure Recognition in Internet of Vehicles

    Dun Cao1, Jia Ru1, Jian Qin1, Amr Tolba2, Jin Wang1, Min Zhu3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1365-1384, 2024, DOI:10.32604/cmes.2023.030260

    Abstract Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles, people, transportation infrastructure, and networks, thereby realizing a more intelligent and efficient transportation system. The movement of vehicles and the three-dimensional (3D) nature of the road network cause the topological structure of IoV to have the high space and time complexity. Network modeling and structure recognition for 3D roads can benefit the description of topological changes for IoV. This paper proposes a 3D general road model based on discrete points of roads obtained from GIS. First, the constraints imposed by 3D roads on… More >

  • Open Access


    MoGUS, un outil de modélisation et d’analyse comparative des trames urbaines

    Dominique Badariotti, Cyril Meyer, Yasmina Ramrani

    Revue Internationale de Géomatique, Vol.30, No.2, pp. 181-213, 2020, DOI:10.3166/rig.2021.00109

    Abstract In this paper, we propose a model and a methodology for the analysis of urban fabrics, sets of built morphological units articulated together by urban networks. The core of the paper presents the MoGUS model (Model Generator & analyser for Urban Simulation) and its formalization. This model jointly represents the buildings and the viaires networks of a city in a graph, and allows a comparative analysis of the properties of different urban fabrics, using derived indicators. A study plan applied to four types of archetypal urban fabrics (Hippodamean, medieval, radio-concentric, Haussmannic) generated with the MoGUS tool is presented to illustrate… More >

  • Open Access


    Road Distance Computation Using Homomorphic Encryption in Road Networks

    Haining Yu1, Lailai Yin1,*, Hongli Zhang1, Dongyang Zhan1,2, Jiaxing Qu3, Guangyao Zhang4

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3445-3458, 2021, DOI:10.32604/cmc.2021.019462

    Abstract Road networks have been used in a wide range of applications to reduces the cost of transportation and improve the quality of related services. The shortest road distance computation has been considered as one of the most fundamental operations of road networks computation. To alleviate privacy concerns about location privacy leaks during road distance computation, it is desirable to have a secure and efficient road distance computation approach. In this paper, we propose two secure road distance computation approaches, which can compute road distance over encrypted data efficiently. An approximate road distance computation approach is designed by using Partially Homomorphic… More >

  • Open Access


    A Differential Privacy Based (k-Ψ)-Anonymity Method for Trajectory Data Publishing

    Hongyu Chen1, Shuyu Li1, *, Zhaosheng Zhang1

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2665-2685, 2020, DOI:10.32604/cmc.2020.010965

    Abstract In recent years, mobile Internet technology and location based services have wide application. Application providers and users have accumulated huge amount of trajectory data. While publishing and analyzing user trajectory data have brought great convenience for people, the disclosure risks of user privacy caused by the trajectory data publishing are also becoming more and more prominent. Traditional k-anonymous trajectory data publishing technologies cannot effectively protect user privacy against attackers with strong background knowledge. For privacy preserving trajectory data publishing, we propose a differential privacy based (k-Ψ)-anonymity method to defend against re-identification and probabilistic inference attack. The proposed method is divided… More >

  • Open Access


    Extracting Campus’ Road Network from Walking GPS Trajectories

    Yizhi Liu, Rutian Qing, Jianxun Liu*, Zhuhua Liao, Yijiang Zhao, Hong Ouyang

    Journal of Cyber Security, Vol.2, No.3, pp. 131-140, 2020, DOI:10.32604/jcs.2020.010625

    Abstract Road network extraction is vital to both vehicle navigation and road planning. Existing approaches focus on mining urban trunk roads from GPS trajectories of floating cars. However, path extraction, which plays an important role in earthquake relief and village tour, is always ignored. Addressing this issue, we propose a novel approach of extracting campus’ road network from walking GPS trajectories. It consists of data preprocessing and road centerline generation. The patrolling GPS trajectories, collected at Hunan University of Science and Technology, were used as the experimental data. The experimental evaluation results show that our approach is able to effectively and… More >

  • Open Access


    MATES : Multi-Agent based Traffic and Environment Simulator -- Theory, Implementation and Practical Application

    S. Yoshimura 1

    CMES-Computer Modeling in Engineering & Sciences, Vol.11, No.1, pp. 17-26, 2006, DOI:10.3970/cmes.2006.011.017

    Abstract This paper describes a development of an advanced traffic simulator based on a multi-agent approach which is named MATES (Multi-Agent based Traffic and Environment Simulator). City traffic phenomena are essentially regarded as complex systems consisting of a number of human beings. Each element creating traffic phenomena such as car (driver), traffic signal, pedestrian and others is modeled as an intelligent agent that possesses its own logic of behavior and preference. The environment surrounding each agent consists of other cars, road network, traffic signals, pedestrian and others. Interaction among numerous agents simulates nonlinear behaviors of city traffic phenomena. First we describe… More >

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