Radix Analytics Pvt Ltd

Smart Analysis on Bus Transportation System

Radix Analytics Pvt Ltd > Big Data > Smart Analysis on Bus Transportation System

Issues & Objectives

  • Transport regulatory authority in Singapore commissioned a system to:
    • Automatically discover wrong fare incidents and flag commuter’s cards affected by wrong fare charging; and
    • Detect emerging fault trends in fare collection equipment so that corrective action could be taken in a timely manner

Solution

  • Data Storage: Hadoop and MySQL

  • Query Tools: Hive and SQL

  • Algorithms: rmr (Parallel versions of R) and Java

  • Reporting and Dashboards: Pentaho

Project information

Skills

Advanced Statistical Model 

Client

Transportation Authority

Domain

Big Data Analytics

Location

Singapore

Challenges

  • Large data 15 million transactions per day, which translates to more than 5 billion historical transactions in a year needs to be processed to identify fault patterns and trends

  • The data consisted of financial, operations, transit and events data of buses

Results

Robust solution in use for over 2 years allows pro-active rather than reactive maintenance