--Urban noise pollution poses a significant threat to public health, yet existing monitoring infrastructures offer limited spatial coverage and adaptability. This paper presents a scalable, low-cost, IoT -based, real-time environmental noise monitoring solution using mobile nodes ( sensor nodes on a moving vehicle). The system utilizes a low-cost sound sensor integrated with GPS-enabled modules to collect geotagged noise data at one-second intervals. The sound nodes are calibrated against a reference sound level meter in a laboratory setting to ensure accuracy using various machine learning (ML) algorithms such as Simple Linear Regression (SLR), Multiple Linear Regression (MLR), Polynomial Regression (PR), Segmented Regression (SR), Support V ector Regression (SVR), Decision Tree (DT), and Random Forest Regression (RFR). While laboratory calibration demonstrates high accuracy, it is shown that the performance of the nodes degrades during data collection in a moving vehicle. T o address this, it is demonstrated that the calibration must be performed on the IoT -based node based on the data collected in a moving environment along with the reference device. The system was deployed in Hyderabad, India, through three measurement campaigns across 27 days, capturing 436,420 data points. Results highlight temporal and spatial noise variations across weekdays, weekends, and during Diwali. Incorporating vehicular velocity into the calibration significantly improves accuracy. The proposed system demonstrates the potential for widespread deployment of IoT -based noise sensing networks in smart cities, enabling effective noise pollution management and urban planning. OISE pollution, also known as environmental noise or sound pollution, refers to unwanted or excessive sound that disrupts human activities and negatively impacts human health [1]. The known sources of noise pollution include transportation (such as road traffic), industrial activities, construction, and urban crowding [2].

Breakthroughs, discoveries, and DIY tips sent every weekday. It is in these waters that marine mammal ecologist Ari Friedlaender shuts off the inflatable boat's engine and waits. This is the edge of the world--remote, hostile, and stunningly alive. Beneath the hull, the dark sea churns with wonder abound. A humpback whale (Megaptera novaeangliae) emerges, slow, deliberate, and gentle in its curious demeanor, casting a ripple across the surface.

Unmanned aerial vehicles (UAVs) are becoming more commonly used in populated areas, raising concerns about noise pollution generated from their propellers. This study investigates the acoustic performance of unconventional propeller designs, specifically toroidal and uneven-blade spaced propellers, for their potential in reducing psychoacoustic annoyance. Our experimental results show that these designs noticeably reduced acoustic characteristics associated with noise annoyance.

Real estate markets depend on various methods to predict housing prices, including models that have been trained on datasets of residential or commercial properties. Most studies endeavor to create more accurate machine learning models by utilizing data such as basic property characteristics as well as urban features like distances from amenities and road accessibility. Even though environmental factors like noise pollution can potentially affect prices, the research around this topic is limited. One of the reasons is the lack of data. In this paper, we reconstruct and make publicly available a general purpose noise pollution dataset based on published studies conducted by the Hellenic Ministry of Environment and Energy for the city of Thessaloniki, Greece. Then, we train ensemble machine learning models, like XGBoost, on property data for different areas of Thessaloniki to investigate the way noise influences prices through interpretability evaluation techniques. Our study provides a new noise pollution dataset that not only demonstrates the impact noise has on housing prices, but also indicates that the influence of noise on prices significantly varies among different areas of the same city.

Mobility is a key factor in urban life and transport network plays a vital role in mobility. Worse transport network having less mobility is one of the key reasons to decline the living standard in any unplanned mega city. Transport mobility enhancement in an unplanned mega city is always challenging due to various constraints including complex design and high cost involvement. The aim of this thesis is to enhance transport mobility in a megacity introducing a bicycle lane. To design the bicycle lane natural Physarum, brainless single celled multi-nucleated protist, is studied and modified for better optimization. Recently Physarum inspired techniques are drawn significant attention to the construction of effective networks. Exiting Physarum inspired models effectively and efficiently solves different problems including transport network design and modification and implication for bicycle lane is the unique contribution of this study. Central area of Dhaka, the capital city of Bangladesh, is considered to analyze and design the bicycle lane network bypassing primary roads.

Digital listening is becoming the most powerful new scientific tool for observing and preserving our natural environment. From the Arctic to the Amazon, scientists are covering the globe with networks of digital microphones. Citizen scientists are using open source, DIY devices like the AudioMoth--a handheld device not much larger than a credit card--to listen in on nature's sounds. These devices detect sounds inaudible to humans: from low-frequency infrasounds made by elephants and whales to high-frequency ultrasounds made by mice, bats, and even plants. In 2023, our newfound listening powers will allow us to exponentially accelerate environmental monitoring, measure the health of ecosystems, track the sonic signatures of climate change, reveal the existence of entirely new species, and even rediscover species once thought to be extinct.

As three of the busiest modern cities around the world, it should come as no surprise that London, New York, and Paris are buzzing with traffic noise. Now, interactive maps have been developed by climate charity Possible as part of its Car Free Cities campaign, revealing just how intense this noise can be in parts of the three cities. Unsurprisingly, areas with busy roads and those near airports tend to have the highest levels of noise pollution, while areas with large parks tend to have the lowest levels. For example, in New York, noise pollution levels are highest around John F. Kennedy International Airport and LaGuardia airport, and lowest around Central Park. Speaking to MailOnline, Hirra Khan Adeogun, Head of the Car Free Cities campaign, said: 'It's well known how mass private car ownership damages the climate and contributes to toxic air.

Road traffic noise outside schools may impair the development of a child's attention span and short-term memory. Previous studies have shown that noise pollution from road traffic can disrupt sleep and increase stress in adults. Meanwhile, local aircraft noise has been shown to reduce academic performance and reading comprehension in children. However, it wasn't known whether road traffic noise outside schools impacts cognitive development in children. To learn more, Maria Foraster at the Barcelona Institute for Global Health and her colleagues recruited 2680 children aged 7 to 10 from 38 schools throughout Barcelona.

Well, the battery won't allow you to drive for a million miles without recharging, but it will last for a million miles before it must be replaced. This is a big step forward considering EV batteries typically last 200,000 miles. With a million-mile battery, the car would fall apart long before the battery goes dead. This also means the owner can sell it or transfer it to a new car, resulting in less pollution and waste. The brains at Huawei are working on a solution.

What happens when the sensor-imbued city acquires the ability to see – almost as if it had eyes? Ahead of the 2019 Shenzhen Biennale of Urbanism\Architecture (UABB), titled "Urban Interactions," ArchDaily is working with the curators of the "Eyes of the City" section at the Biennial to stimulate a discussion on how new technologies – and Artificial Intelligence in particular – might impact architecture and urban life. Here you can read the "Eyes of the City" curatorial statement by Carlo Ratti, the Politecnico di Torino and SCUT. Technologies of the virtual realm present an opportunity to rethink the experience of space, society, and culture. They give us the possibility to engage with the city of the future, shaping the built environment of the 21st century.