THE FUTURE OF PARKING In this one-term seminar of Decarbonise built environment the main goal was to develop carbon-capturing strategies and study how can we shift to renewable energies. In this particular project, Barcelona city was taken as a built environment, and based on that we developed urban planning strategies and parking design strategies. COSMOGRAM … Read more
Machine learning has been applied to a wide range of domains, including transportation, to improve the accuracy of predictions and optimize systems. In the context of taxi services, predicting the trip duration is an essential task to optimize route planning and estimate arrival times. In this post, we present a machine learning approach using Python … Read more
The design began with the process of understanding the culture, the climate and the people of Accra, Ghana. The design is based in a tropical climate where the temperatures and the humidity are high. This design was then set in a Metaversal city that was a culmination of 6 sites from different regions of the … Read more
This blog is a review of the book “Delirious New York” written by Rem Koolhaas. “The future is no longer about power, but about bandwidth.” Rem Koolhas Rem Koolhaas wrote a novel titled “Delirious New York” that outlines the evolution and background of Manhattan’s design and urbanism. Koolhaas wrote this book because he desired to … Read more
Goal: to predict trip duration of NYC cabs using machine learning models. Tools: Python + Nympy + Pandas + Datetime + Plotly.express + Matplotlib + Math + Seaborn + Bokeh + Sklearn Stages of project: data cleaning, data analysis, data preparation, data testing, evaluating prediction accuracy. Data cleaning The first dataset visualization with splitting datasets … Read more
Machine Learning-based Analysis of NYC Cab Trip Duration “Data-Driven Rides” is an entry for the first MaCT Machine Learning Competition that hosted on Kaggle which involves predicting the duration of taxi rides in New York City. The dataset provided for this competition is based on the 2016 NYC Yellow Cab trip record dataset and the … Read more
#Objective #A Kaggle Competition to MaCT01 students to show their knowledge, designing an end-to-end machine learning project to predict the “Trip Duration” of NYC Taxi trips. #Workflow #First of all a workflow hast do be developed, which represents a classic approach for training machine learning models, analysing the provided training data provided by the submission, … Read more
The Core challenges of urban childhood As cities grow and develop, there is often a lack of safe and child-friendly spaces for children to play, walk or bike alone. The increase in traffic and air pollution makes it challenging and unsafe for children to travel on foot or by bicycle. Crime and social fear also … Read more
Introducing the Mobility Footprint, an interactive dashboard designed to promote awareness about mobility in urban environments and its impact on CO2 emissions. By selecting your typical mode of transportation and choosing from eight pre-determined destinations, the dashboard will provide you with a recommended route, estimated travel time, and the CO2 emissions associated with your selected … Read more
Do you nip out to get your lunch from your favourite café, or perhaps use the Uber Eats app to get your lunch delivered to your office? In India, lunch is a whole different ball game. It’s people-powered – made at home that morning and delivered straight to you, all absent of any technology in time. … Read more
MOBILITY By selecting the municipalities along the industry belt, we identify the differences about mobility pattern. Commuting people are coming by over half an hour’s trip to work in weekday, but the number of people declines in the weekend.
During the seminar, we explored the core concepts of ROS (Robotic Operating System), its vital tools, and the seamless integration of Python for interacting with robots. With this integration, we effortlessly processed sensor data and exercised control over the UR10e robot, which served as our platform for the seminar. Through practical exercises, we gained hands-on … Read more
real-time autonomous object detection The project “RTAOD” in the workshop 2.1 was developed to navigate and localize a robot autonomously through room and create a map of the scanned area. In the meantime it collects data of detected objects and counts the quantity of them. Required tools This project got realized by the Software “ROS … Read more
Zack Eisenberg : Advanced Architecture Teachers: Oriol Carrasco, Gabriele Liuda Research Framework
A new mobility hub for Green square station, Sydney, Australia Climate Canopy is a project about improving the qualities of Green Square station in Sydney, Australia. The Climate Canopy is an open-air timber grid shell creates an urban landmark by framing a new entrance to the station, without interfering with movement and wayfinding. The canopy … Read more
