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The Applications Of GIS In Connected Mobility

A geographic information system or GIS, is a system designed to enable the usage of location-enabled services such as navigation services, fleets and businesses, amongst many other applications.

The system uses location-related values representing longitude, latitude and elevation to capture and visualise geographic information such as population, education level and vegetation data. Other tools such as a computer-aided design (CAD) platforms are often utilised to produce better representation of the captured data to create interactive queries (user-created searches), analyse spatial information and edit data in maps.

With the availability of Industry 4.0-related technologies such as Artificial Intelligence (AI), Big Data Analytics (BDA) and unmanned aerial vehicles (UAVs), the applications of GIS can be enhanced. Let’s see how below.

Real-time data processing

The advent of BDA allows analysis of huge sums of data in real-time, over a cloud-based network. UAVs further enhances this process by enabling GIS-based companies to remotely gather and analyse data, ultimately allowing them to gain what they need without physically traversing the area being analysed. This saves time and cost while improving end-results.

GIS-based companies can also leverage on these abilities to specialise and create products based on their clients’ needs and demands.

Efficient transportation systems

Vast amounts of data such as population, income and real-time traffic can be acquired through GIS. This enhances the government’s and transportation-related companies’ plan in developing a smart and efficient transportation system or, an Intelligent Transportation System (ITS).

GIS can help visualize and communicate the effect of roads, allowing proper route planning of transportation networks. This also enables various transportation networks to be linked into a unified network, enabling easier operations and handling of problems.

Important enabler of self-driving vehicles

Autonomous vehicles (AVs) rely on maps, other than cameras, sensors and AI for path planning and navigation. With GIS, maps containing important data such as traffic information, road conditions and even road signs can be used by AV software developers as their main source of developing the navigation element in AVs.

The inclusion of AI, cameras, sensors and BDA will allow the vehicle to actively plan its route according to the data received in real-time in order to take the best route to its determined destination.

Real-time tracking solution

The ability to gather data in real-time also means the ability to track the location of the acquired data. This feature allows fleet management companies to enhance the safety of their riders, decision-making and their business operations.

Fleet management companies can dispatch riders according to the demands from consumers while tracking the performance of each rider (based on their alertness, driving methods and route used). Companies can also determine the type of fleet vehicles used according to the data acquired from GIS, all of which leads to continuous improvement of fleet operations.

Continuous business improvement and expansion

Since GIS has the ability to capture demographic data, business owners can utilise this feature to gauge business performance by measuring consumer satisfaction, sales trends and market performance to increase business growth and decision-making abilities.

Other than that, GIS can aid business owners in business expansion by providing insights on where the company is missing, meeting or exceeding objectives. With this data, business owners can focus on areas where they need to expand coverage with more competitive service levels and product offerings.


The continuous advancement in technology can only enhance the capabilities of GIS technologies, creating limitless possibilities to the kind of information that can be analysed. It is therefore vital for the automotive industry to leverage GIS towards realising Future Mobility.

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