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Xingguo Zhang, Yinping Sun, Qize Li, Xiaodi Li and Xinyu Shi
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,...
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Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen and Mohamed I. Eldesouki
Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific...
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Yang Liu, Huajun Zhang, Yu Zhan, Kunxiang Deng and Liangzhi Dong
Cruise ships are large and complex, and it is difficult to manually make a plan to evacuate people to safe areas in a short time. Evacuation time and personnel safety are both important for emergency evacuation. This paper proposes an evacuation strategy...
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Rafik Gouiaa, Moulay A. Akhloufi and Mozhdeh Shahbazi
Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring. In addition, methods develo...
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Alem Fitwi, Yu Chen, Han Sun and Robert Harrod
For public safety and physical security, currently more than a billion closed-circuit television (CCTV) cameras are in use around the world. Proliferation of artificial intelligence (AI) and machine/deep learning (M/DL) technologies have gained significa...
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Jeroen Van Hauwermeiren, Katrien Van Nimmen, Peter Van den Broeck and Maarten Vergauwen
Obtaining pedestrian trajectories by a vision-based methodology is receiving increasing attention in the literature over recent decades. Within the field of study of human-induced vibrations on footbridges, practical challenges arise when collecting the ...
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Abdullah Alamri
Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing an unparalleled threat amounting to a humanitarian crisis on a global scale. Indoor navigation...
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Jun Wu, Xi Wang, Limin Huang, Ziyu Wang, Da Wan and Pengbo Li
With the extensive application of data analysis in various parts of the landscape design process, Building Information Modeling (BIM), City Information Modeling (CIM), and Landscape Information Modeling (LIM) all aim to achieve key data sharing and colla...
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Qian Zhang, Fei Yu, Shan Gao, Chen Chang and Xusheng Zhang
In this work, we conducted downward evacuation experiments in four types of staircases under various smoke visibility conditions of the naked eye, wearing sunglass and wearing eyeshades. Ten male and ten female college students were recruited to conduct ...
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Litao Han, Cheng Gong, Lei Gu, Hu Qiao, Aiguo Zhang and Mengfan Liu
Most of the existing staged evacuation algorithms only consider the impact of crowd density on evacuation partition, but do not take into account the influence of the spatial distribution of occupants and the capacity of exits on the total evacuation tim...
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Yi Shi, Junyan Yang and Peiyu Shen
Some studies have confirmed the association between urban public services and population density; however, other studies using census data, for example, have arrived at the opposite conclusion. Mobile signaling data provide new technological tools to inv...
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Serge P. Hoogendoorn, Winnie Daamen, Victor L. Knoop, Jeroen Steenbakkers, Majid Sarvi
Pág. 480 - 496
The Macroscopic Fundamental diagram (MFD) has proven to be a powerful concept in understanding and managing vehicular network dynamics, both from a theoretical angle and from a more application-oriented perspective. In this contribution, we explore the e...
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Dong Zhang, Wenhang Li, Jianhua Gong, Lin Huang, Guoyong Zhang, Shen Shen, Jiantao Liu and Haonan Ma
At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement learning...
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Linfan Liu, Huajun Zhang, Jupeng Xie and Qin Zhao
The emergency evacuation route planning of cruise ships directly affects the safety of all crew members and passengers during emergencies. Research on the planning of emergency evacuation routes for cruise ships is a frontier subject of maritime safety. ...
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Pei Nie, Cien Fan, Lian Zou, Liqiong Chen and Xiaopeng Li
Crowd Crowd counting is not simply a matter of counting the numbers of people, but also requires that one obtains people?s spatial distribution in a picture. It is still a challenging task for crowded scenes, occlusion, and scale variation. This paper pr...
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Alket Cecaj, Marco Lippi, Marco Mamei and Franco Zambonelli
Accurately forecasting how crowds of people are distributed in urban areas during daily activities is of key importance for the smart city vision and related applications. In this work we forecast the crowd density and distribution in an urban area by an...
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Huibo Bi
Regarding mobility, health conditions and personal preferences, evacuees can be categorized into different classes in realistic environments. Previous emergency navigation algorithms that direct evacuees with a single decision rule cannot fulfil civilian...
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Longcheng Yang, Juan Wei, Zhihai Tang, Jun Hu and Zhouyi Hu
A new crowd evacuation model is established to solve the stagnation problem of traditional social force models in a complex and dense scene. In the proposed model the acting forces between pedestrians, and between pedestrians and obstacles in the traditi...
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Yandi Song, Shaoyao Zhang and Wei Deng
Determining the optimal planning scale for urban life circles and analyzing the associated built environment factors are crucial for comprehending and regulating residential differentiation. This study aims to bridge the current research void concerning ...
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Tahira Ullah, Sven Lautenbach, Benjamin Herfort, Marcel Reinmuth and Danijel Schorlemmer
Natural hazards threaten millions of people all over the world. To address this risk, exposure and vulnerability models with high resolution data are essential. However, in many areas of the world, exposure models are rather coarse and are aggregated ove...
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