Week 5

This week so far I read an insteresting article about smart cities:

Smart city applications such as electric vehicle (EV) charging infrastructure and services, smart street lighting, smart buildings, distributed energy resources (DER), and smart city communication networks all offer significant new business opportunities for utilities.

“With increasing energy efficiency and utilisation of DER cutting into their bottom line, utilities must position themselves as innovators and generate new revenue streams to remain profitable in the 21st century,” said Ryan Citron, senior research analyst with Navigant Research.

“Smart cities represent a significant opportunity for utilities to develop new business lines, extend their partner ecosystems, and establish new bonds with local communities.”

While utility interest and involvement in smart city deployments is increasing, several key barriers to greater market participation remain, the report states.

https://www.smartcitiesworld.net/news/news/utilities-use-smart-cities-to-drive-new-revenue-3858

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Week 4

This week so far I learn more about the traffic tech which is being implemented in Cambirdge, UK.

There is a system that according to this post https://www.smartertransport.uk/smart-traffic-management/, has taken relevanced and important attention from the people who lives in Cambridge.

Smart Traffic Management is a system where centrally-controlled traffic signals and sensors regulate the flow of traffic through the city in response to demand.

Cambridge is a typical small UK city. Currently it has some elements of a Smart Traffic Management system, but most traffic lights are not connected into it, and some features are not being used.

Upgrading and integrating all the signals on the main roads in the city will:

  • Reduce everyday congestion markedly, by smoothing traffic flows and prioritising traffic in response to demand in real time.
  • Reduce pollution throughout the city: stop-start driving is inefficient and polluting.
  • Give priority to buses approaching junctions, phasing lights to give traffic flowing with buses a ‘green wave’ through the city.
  • Enable a much more effective response to traffic incidents, especially on the A14 and M11. The system can be pre-programmed to handle a sudden increase in traffic on any of the ten radials.
  • Enable Inbound Flow Control.

Intro

https://www.mibici.net/en/ Is a platform in where you can rent bikes and there are special checkpoints in where you can grab or left them. The government is going to replace these bikes for electric ones, so the idea is to predict in which time and places are the bikes mostly used.

With this information known, we are going to predict when these bikes need a change in their battery, when the battery’s life is low.

We can deliver a platform which shows routes and times in where the batteries will be changed. The project will be delivered together with the data analyzed and the requiered machine learning algorithms needed.

Team:

Julia Orduño

Samuel Osuna

Victor Garcia

Estefy CP