Page 36 - Big data - Concept and application for telecommunications

1 Big data - Concept and application for telecommunications

Table I.7 – Intelligent transport big data analysis

Title Intelligent transport big data analysis
Description The public transportation traffic information on the main roads is collected by an intelligent
transport platform. Intelligent transport platform providers use big data applications to
implement backend supporting services such as traffic volume prediction, route traffic analysis
and route navigation optimization.
Roles/sub-roles – CSN:DP
– CSP:BDAP
– CSP:BDIP
– CSC:BDSU
Figure

Pre-conditions – The speed sensors and high-resolution cameras are installed at intersections and key points
of roads in the city and outskirts.
– The traffic of vehicles and the status of roads data are collected in real time.
– The big data applications for intelligent transport systems are built upon the private or public
big data infrastructure.
Post-conditions – Real time and accurate route navigation based on the shortest path algorithm and route
traffic could be provided to private and business vehicle drivers of all types of vehicles on the
road except drivers of track vehicles.
– Accurate scheduling for bus departures is established on the real time analysis and prediction
of road traffic.
– Automatic recognition of violations of road traffic laws such as speeding, running red lights,
drink-driving, running through restricted areas, fatigue driving, etc.
Derived – Data analysis (refer to clause 8.4, requirement 3, 9,12)
requirements

28 Basics of Big data