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Pedro Nogueira, Marcelo Silva, Paulo Infante, Vitor Nogueira, Paulo Manuel, Anabela Afonso, Gonçalo Jacinto, Leonor Rego, Paulo Quaresma, José Saias, Daniel Santos and Patricia Gois
Road traffic accidents are a major concern for modern society with a high toll on human life and involve hard to account economic consequences. New knowledge can be obtained from combining GIS tools with machine learning and artificial intelligence, deve...
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Yunfei Zhang, Fangqi Zhu, Qiuping Li, Zehang Qiu and Yajun Xie
Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention. Presently, with the emergence of GIS and data mining technologies, numerous geospat...
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Kochupillai Selvaraj Arikumar, Sahaya Beni Prathiba, Shakila Basheer, Rajalakshmi Shenbaga Moorthy, Ankur Dumka and Mamoon Rashid
Vehicle-to-everything (V2X) in networks is a communication technology that allows vehicles to communicate with their surroundings. Traffic congestion and unawareness of the travel of emergency vehicles (EVs) lead to delays in reaching the destination of ...
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Pamela Al Alam, Joseph Constantin, Ibtissam Constantin and Clelia Lopez
Road traffic congestion has became a major problem in most countries because it affects sustainable mobility. Partitioning a transport network into homogeneous areas can be very useful for monitoring traffic as congestion is spatially correlated in adjac...
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Liudmyla Abramova,Valerii Shyrin,Hennadii Ptytsia,Serhii Kapinus
Pág. 34 - 43
This article deals with solving topical issues of improving traffic effectiveness in major cities. The main traffic problem in major cities is a decrease in the throughput capacity of a street-road network and an increase in unpredictable travel time. Th...
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Irshad Ahmed Abbasi and Adnan Shahid Khan
Vehicular Ad-hoc Networks (VANETs) have been gaining significant attention from the research community due to their increasing importance for building an intelligent transportation system. The characteristics of VANETs, such as high mobility, network par...
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Joerg Koenigstorfer
The study aims to assess whether, and how, provision of information about air quality along inner-city roads influences individuals? intentions to walk further away from traffic-dense roads. In an experiment, German residents (n = 597) were either expose...
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Joerg Koenigstorfer
The study aims to assess whether, and how, provision of information about air quality along inner-city roads influences individuals? intentions to walk further away from traffic-dense roads. In an experiment, German residents (n = 597) were either...
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Igor Dakic, Aleksandar Stevanovic
Pág. 942 - 961
A promising framework for understanding flow-density relationship in traffic flow theory is the Fundamental Diagram, originally developed for uninterrupted traffic flow facilities. The concept has been extended to the Arterial Fundamental Diagram (AFD), ...
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Shi V. Liu, Fu-Lin Chen and Jianping Xue
An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/int...
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Yoon-Ji Kim, Jeong-Seok Lee, Alessandro Pititto, Luigi Falco, Moon-Suk Lee, Kyoung-Kuk Yoon and Ik-Soon Cho
For developing national maritime traffic routes through the coastal waters of Korea, the customary maritime traffic flow must be accurately identified and quantitatively evaluated. In this study, the occupancy time of ships in cells was calculated throug...
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Yuqi Guo, Yangzhou Chen and Chiyuan Zhang
In order to estimate traffic densities in a large-scale urban freeway network in an accurate and timely fashion when traffic sensors do not cover the freeway network completely and thus only local measurement data can be utilized, this paper proposes a d...
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Yuqi Guo, Yangzhou Chen and Chiyuan Zhang
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Jithin Raj, Hareesh Bahuleyan, Lelitha Devi Vanajakshi
Pág. 321 - 330
Advanced Traveller Information Systems (ATIS) is one of the functional areas of Intelligent Transportation Systems (ITS) and it aims at providing real time traffic information to the travellers for making better travel decisions. This information would b...
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Yiwen Tang, Jiaxin Zhang, Runjiao Liu and Yunqin Li
Streets are an important component of urban landscapes and reflect the image, quality of life, and vitality of public spaces. With the help of the Google Cityscapes urban dataset and the DeepLab-v3 deep learning model, we segmented panoramic images to ob...
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Guangyue Nian, Jian Sun and Jianyun Huang
Road traffic congestion is a common problem in most large cities, and exploring the root causes is essential to alleviate traffic congestion. Travel behavior is closely related to the built environment, and affects road travel speed. This paper investiga...
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Jianyu Wang, Shuo Ma, Pengpeng Jiao, Lanxin Ji, Xu Sun and Huapu Lu
This study explores risk factors influencing the at-fault party in traffic accidents and analyzes their impact on traffic accident severity. Based on the traffic accident data of Shenyang City, Liaoning Province, China, from 2018 to 2020, 19 attribute va...
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Pritikana Das, M. Parida, Ashish Bhaskar, V.K. Katiyar
Pág. 32 - 42
Data extraction is an essential part of traffic flow parameter estimation. Estimation of traffic flow parameters, such as flow rate, density, and speed are carried out under certain measurement interval. Fundamental relationships among these parameters a...
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Srdan Vuk?a, Pero Vidan, Mihaela Buklja? and Stjepan Pavic
The efficiency and safety of maritime traffic in a given area can be measured by analyzing traffic density and ship collision probability. Maritime traffic density is the number of ships passing through a given area in a given period of time. It can be m...
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Zun Wang, Anne Goodchild, Edward McCormack
Pág. 842 - 852
The objective of this paper is to develop a methodology for forecasting freeway vehicle travel time reliability for transportation planning using probe GPS data. Travel time reliability is measured using the coefficient of variation of the GPS spot (inst...
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