Study On The Multi-dimensional Expressway Network Toll Collection Data Analysis System

With the development of expressway network toll collection system, more and moreexpressways are participating in network toll collection system. In recent years highwaydepartment and road section owners request advanced statistical analysis and datamanagement of expressway toll data. Statistical analysis methods become much morecomplicated. To provide better statistical analytical service for highway department and roadsection owners, special multi-dimensional expressway network toll collection data analysissystem could be developed outside the production system. The multi-dimensional expresswaynetwork toll collection data analysis system uses databases to store data, utilizes ETL tools toextract useful data from production system, displays graphs and charts to show toll data toroad section owners visually, and quickly provides statistical data for government authorities.Multi-dimensional expressway network toll collection data analysis system usesscientific methods to diagnose the operational status of the highway departments. Based onanalysis results, it provides suggestions for improvement and supporting mechanism. It alsopoints out the business core competence and development mode to meet highwaymanagement department’s strategic development needs. Based on the diagnosis result, it givessuggestions for each business analysis topic, ways of analysis, analysis methods, optimizingbusiness management reporting system and related business reporting.Multi-dimensional expressway network toll collection data analysis system is developedbased on the industry’s leading business intelligence management system. It has a unified datamanagement platform which integrates various application systems. In the meantime, itestablishes analysis logic and model in accordance to the characteristics of expressways. Itprovides rich, timely, accurate, and multi-dimensional data services, supports highwaydepartment to improve data management abilities, displays highway managementdepartment’s internal and external business metrics and the applications of analytics models.