BUI91001 Smart Livable Cities: AI-Driven Traffic Optimization

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BUI91001: smart livable cities
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In the skyline simulation cities, the public transport that is introduced includes the metro and bus
networks. These are for the transport of the inner city while through train network the services
can be provided to both intercity and inner-city needs. For the interchanging of passengers, there
are some of the cross points at bus and metro stops.
Articles discussion
According to Mouhcine, et. al, (2018), VANet (Vehicular Ad-Hoc network) strategy is used for
solving the system of traffic routine and this can be combined with distributed swarm
intelligence optimization. VANet works as the communication technology that helps in creating
the communication channel between several routes and vehicles. Ant colony optimization can be
used for computing the shortest path by which the driver can avoid the congested routes. The
multi agent's architecture works together for monitoring the traffic congestion of road and
through this, the drivers get the help of arriving quickly at their destination by following the
routes that suit best with less congestion (Mouhcine, et. al., (2018).
According to Descant, (2018), the "street light data" which is the firm analyzing the
transportation help in examining the congestion in Miami and its goal is to gain a better
understanding of how the contribution is being made by the gig-driving to the traffic congestion.
The location information is gained by the street light from the mobile devices used by the drivers
and the insights of the routes are gained about the regions and cities Descant, (2018).
Issues discussion
The gig driving has become a big issue nowadays as the apps such as Lyft, and Uber along with
the delivery services such as Amazon Fresh or Insta cart are contributing to the traffic. Street
light data will be used in my Skyline simulation city so the routes insights can be known and
VANet will also be implemented in my skyline so that the complete monitoring can be
conducted of the road congestion and drivers will get help in arriving at the destinations quickly.
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References
 Descant, Skip 2018, ‘Miami Study Shows Solutions to Traffic Congestion Are
Complex’, Government Technology, accessed from. https://search-proquest-
com.ezproxy.scu.edu.au/docview/2154921615?accountid=16926&rfr_id=info%3Axri
%2Fsid%3Aprimo
 Mouhcine, E., Mansouri, K. & Mohamed, Y. 2018, ‘Solving Traffic Routing System
using VANet strategy combined with a distributed swarm intelligence
optimization’, Journal of Computer Science, vol. 14, no. 11, pp. 1499–1511.
DOI: 10.3844/jcssp.2018.1499.1511
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