Download PDF
Transport Scotland Leverages Big Data for Improved Traffic Management
![Transport Scotland Leverages Big Data for Improved Traffic Management - IoT ONE Case Study Transport Scotland Leverages Big Data for Improved Traffic Management - IoT ONE Case Study](/files/casestudy/Transport-Scotland-Switches-on-Big-Data-for-Immediate-and-Ongoing-Value.png)
Technology Category
- Networks & Connectivity - Bluetooth
- Sensors - GPS
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Traffic Monitoring
- Vehicle-to-Infrastructure
Services
- System Integration
- Training
The Challenge
Transport Scotland was seeking to improve its real-time traffic information and network management capabilities. The agency was interested in third-party big data sources but found that many providers only offered access to the data without a user-friendly interface for extracting value from it. The challenge was to find a solution that not only provided access to comprehensive traffic data but also offered an easy-to-use platform for analyzing this data. The agency was also looking to reduce its reliance on roadside infrastructure for traffic monitoring, which was concentrated in densely populated areas and lacked coverage in more remote parts of the country.
The Customer
Transport Scotland
About The Customer
Transport Scotland is Scotland’s National Transport Agency responsible for the country's transport system. The agency oversees the operation and maintenance of the railways and trunk road networks, ferries, canals, and aviation services. It also develops transport projects, provides transport policy, and delivers the National Transport Strategy. The agency's goal is to ensure safe, efficient, cost-effective, and sustainable transport for all residents and visitors in Scotland. To achieve this, Transport Scotland leverages technology and data to improve its services and operations.
The Solution
Transport Scotland adopted INRIX Roadway Analytics, a turnkey analytics platform that provides access to a vast global traffic dataset. The dataset is largely based on floating vehicle data from various sources, including in-car GPS and smartphones. The platform allowed Transport Scotland to extract meaningful data from the first day without any additional training, software, or hardware. The agency used the new data source in three main areas: real-time monitoring of journey times and network conditions, assessing proposed road schemes, and responding to information queries about the performance of Scotland’s strategic road networks. The platform also enabled the agency to establish traffic conditions or journey times on any part of the network at any given time in the past, a task that was previously impossible.
Operational Impact
Quantitative Benefit
Related Case Studies.
![](/files/casestudy/Integral-Plant-Maintenance.png)
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
![](/files/casestudy/Airport-SCADA-Systems-Improve-Service-Levels.png)
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
![](/files/casestudy/IoT-based-Fleet-Intelligence-Innovation.png)
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
![](/files/casestudy/Digitize-Railway-with-Deutsche-Bahn.png)
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.