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In cities worldwide, cars cause health and traffic problems whichcould be partly mitigated through an increased modal share of bicycles. Many people, however, avoid cycling due to a lack of perceived safety. For city planners, addressing…

机器学习 · 计算机科学 2023-03-15 Ahmet-Serdar Karakaya , Thomas Ritter , Felix Biessmann , David Bermbach

Increasing the modal share of bicycle traffic to reduce carbon emissions, reduce urban car traffic, and to improve the health of citizens, requires a shift away from car-centric city planning. For this, traffic planners often rely on…

Increasing the modal share of bicycle traffic to reduce carbon emissions, reduce urban car traffic, and to improve the health of citizens, requires a shift away from car-centric city planning. For this, traffic planners often rely on…

多智能体系统 · 计算机科学 2023-10-16 Ahmet-Serdar Karakaya , Konstantin Köhler , Julian Heinovski , Falko Dressler , David Bermbach

Cities worldwide are trying to increase the modal share of bicycle traffic to address traffic and carbon emission problems. Aside from safety, a key factor for this is the cycling comfort, including the surface quality of cycle paths. In…

分布式、并行与集群计算 · 计算机科学 2023-08-03 Ahmet-Serdar Karakaya , Leonard Thomas , Denis Koljada , David Bermbach

This is a no brainer. Using bicycles to commute is the most sustainable form of transport, is the least expensive to use and are pollution-free. Towns and cities have to be made bicycle-friendly to encourage their wide usage. Therefore,…

Aiming to reduce pollutant emissions, bicycles are regaining popularity specially in urban areas. However, the number of cyclists' fatalities is not showing the same decreasing trend as the other traffic groups. Hence, monitoring cyclists'…

计算机视觉与模式识别 · 计算机科学 2017-04-26 Miguel Costa , Beatriz Quintino Ferreira , Manuel Marques

Bike usage in Smart Cities becomes paramount for sustainable urban development. Cycling provides tremendous opportunities for a more healthy lifestyle, lower energy consumption and carbon emissions as well as reduction of traffic jams.…

计算机与社会 · 计算机科学 2019-05-22 David Castells-Graells , Christopher Salahub , Evangelos Pournaras

Cycling is a promising sustainable mode for commuting and leisure in cities, however, the fear of getting hit or fall reduces its wide expansion as a commuting mode. In this paper, we introduce a novel method called CyclingNet for detecting…

计算机视觉与模式识别 · 计算机科学 2021-02-02 Mohamed R. Ibrahim , James Haworth , Nicola Christie , Tao Cheng

With the focus that cities around the world have put on sustainable transportation during the past few years, biking has become one of the foci for local governments around the world. Cities all over the world invest in bike infrastructure,…

应用统计 · 统计学 2019-02-14 Sara Daraei , Konstantinos Pelechrinis , Daniele Quercia

Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obtain reliable data on traffic and road infrastructure…

The development of smart cities requires innovative sensing solutions for efficient and low-cost urban environment monitoring. Bike-sharing systems, with their wide coverage, flexible mobility, and dense urban distribution, present a…

最优化与控制 · 数学 2024-10-10 Wen Ji , Ke Han , Qi Hao , Qian Ge , Ying Long

The witnessed boom in mobility results in many problems such as urbanization, costly construction of many highways and air pollution. In an attempt to address these problems, in this master, we are interested in the implementation of a…

计算机与社会 · 计算机科学 2019-01-14 Sawsen Ben Nasr

Traffic congestion is one of the most notable problems arising in worldwide urban areas, importantly compromising human mobility and air quality. Current technologies to sense real-time data about cities, and its open distribution for…

物理与社会 · 物理学 2016-12-30 Albert Solé-Ribalta , Sergio Gómez , Alex Arenas

A key challenge in monitoring and managing the structural health of bridges is the high-cost associated with specialized sensor networks. In the past decade, researchers predicted that cheap, ubiquitous mobile sensors would revolutionize…

Flood is a natural phenomenon that causes severe environmental damage and destruction in smart cities. After a flood, topographic, geological, and living conditions change. As a result, the previous information regarding the environment is…

计算机与社会 · 计算机科学 2022-03-15 Sajedeh Abbasi , Hamed Vahdat-Nejad , Hamideh Hajiabadi

Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system, it is paramount to incentivize smartphone users to provide…

网络与互联网体系结构 · 计算机科学 2018-05-01 Francesco Restuccia , Pierluca Ferraro , Simone Silvestri , Sajal K. Das , Giuseppe Lo Re

Illegal vehicle parking is a common urban problem faced by major cities in the world, as it incurs traffic jams, which lead to air pollution and traffic accidents. The government highly relies on active human efforts to detect illegal…

机器学习 · 计算机科学 2022-01-03 Tianfu He , Jie Bao , Yexin Li , Hui He , Yu Zheng

These last years with the growing population in the smart city demands an efficient transportation sharing (bike sharing) system for developing the smart city. The Bike sharing as we know is affordable, easily accessible and reliable mode…

计算机与社会 · 计算机科学 2017-09-06 Monika Rani , O. P. Vyas

We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We develop a location estimation model of journey services based…

计算机与社会 · 计算机科学 2018-12-24 Ahmed Ben Said , Abdelkarim Erradi , Azadeh Ghari Neiat , Athman Bouguettaya

As the number of vehicles continues to grow, parking spaces are at a premium in city streets. Additionally, due to the lack of knowledge about street parking spaces, heuristic circling the blocks not only costs drivers' time and fuel, but…

人机交互 · 计算机科学 2016-03-02 Ruizhi Liao , Cristian Roman , Peter Ball , Shumao Ou , Liping Chen
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