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Big Data Decision Cockpits

447 words | Last Updated: 2024-04-20 | By Golong
Author: Golong
We are a leading public transport payment system provider, founded in 2015. We focus on developing and operating smart hardware and software for IoT, facial recognition, and digital currency.
Big Data Decision Cockpits
Table of Contents

Golong has worked in the bus industry for many years. We have launched a smart travel solution for the pain points and difficulties of travel in the bus scenario. The smart travel solution uses the BI Tool to comprehensively display bus real-time operation data, including line network, dispatching, smart stations, traffic data, etc. Furthermore, it can provide bus decision makers with multi-dimensional data, which is used to analyze bus data, including overall travel situation, service, daily profit, etc.

At the same time, Golong attaches great importance to data security.
We completely secure the data security on the platform with our research and development cabilities.

Smart Travel: Big Data Decision Cockpits

The Big Data Decision Cockpits can combine mobile payment data with the data from the dispatching system, which can provide decision-making analysis for users.

Big Data Decision Cockpits

Routes, stations, number of buses, route distance, the proportion of new energy buses, the proportion of  routes and buses in each branch, the coverage rate of stations in the main urban area and the access rate in villages; number and proportion of buses that are in service, average speed, number of mobile payments and hourly traffic trends and site distribution map

Buses map

It can display real-time bus maps through GPS in the dispatch system.

It is possible to track the selected bus in real time.

Boarding Heatmap

With the payment and geographic information, the boarding heat map can be calculated scientifically.

  • Passenger traffic ranking
  • Routes ranking: the top ten routes that have the highest transaction.
  • Stations ranking: the top ten stations that have the highest transaction.
  • Real-time bus information
  • The overall operation and payment statistics of the day will be displayed in real time.
  • OD analysis (Transaction Volume)
  • It can select a specific date to check the transaction on the day. In addition, it can analyze a specific route’s OD. The selected point range refers to the radius of the passengers’ gathering range.
  • It can show the passenger traffic OD map by selecting a point to analyze how many passengers will get off.
  • It can show the passenger traffic OD map by selecting a point to analyze how many passengers will get on.

Bus heatmap analysis

  • It can select a specific date to check the transaction on the day. In addition, it can analyze a specific route’s OD. The selected point range refers to the radius of the passengers’ gathering range.
  • Routes analysis from week on week
  • It contains the comparison analysis chart of top routes, top buses, route traffic, and bus traffic in two weeks, which can be analyzed by selecting the designated route and the designated bus.