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Author's profile photo Daniel Moayanda

Cloud Analytics for Efficient Transportation Management

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Data-centric services are becoming the core of transportation operations. From autonomous vehicles to ride-hailing, self-driving cars and vehicle tracking, transportation and logistics operators leverage dense databases managed by data silos to optimise their performance.

The evolution of transportation management is a data-driven movement that will drive change in how we think about and utilise transportation assets. New technologies are emerging that can help businesses and public transport planners make better and safer decisions. 

Transportation is already the leading example of an industry being transformed by data and analytics. 

There are transportation experts who believe that the future of transportation lies in the cloud. Cloud-based solutions for transportation provide a cost-effective way of managing operations and providing transportation with the flexibility it needs to adapt to changing customer needs. 

 

Smart Mobility

Mobility is about reducing distance. It’s about getting from place to place as efficiently as possible. That means we need efficient and intelligent transportation, and that’s where a cloud-based data analytics platform comes in. 

Such a platform gives you access to current and historical data to help inform decisions about your mobility. The vision is to make transportation software as intelligent, agile, and collaborative as human labour. 

Transportation is the backbone of our economy and relies on intelligence, efficiency, and interoperability to be successful. Cloud-based software transforms how data is collected, managed and communicated across all phases of big data in mobility management

Imagine a transportation network that is smarter, more efficient, more reliable and more accessible than the roads we now use. Imagine the data analytics powering this system that can help our cities run more efficiently and reduce accidents. 

Imagine the intelligence in our roads flowing into the information technology already in our devices so we can make better, more informed decisions in an increasingly cluttered world.

 

Road Safety 

The potential of machine learning and data analytics in road safety is constantly increasing. With additional data, algorithms can monitor real-time conditions and conditions that could affect travel safety. 

Based on this information, transportation departments can enhance their operations and services and plan alternate routes or routes that operate closer together. 

Transportation departments can also use this technology to distribute information to concerned parties with either less travel time or no travel time at all.

Safety on the road requires analysis of real-time events, operational needs and behaviour. This activity collects and analyzes large amounts of data to provide actionable insights that allow managers to manage risk and increase safety effectively. 

This data, alongside innovative technologies such as IoT, allows traffic managers to plan routes and adjust their service standards based on real-time conditions. 

It also enables engineers to capture data related to maintenance work within the event management network which allows them to make decisions on road closures and related road safety awareness efforts.

 

Optimised Road Traffic Operations 

The ability to understand, predict and even prevent critical infrastructure disruptions due to traffic congestion is a valuable contribution to collective security and transportation systems. 

It has been evident for years that AI can be helpful in these areas. Still, it is only recently that technical expertise and data collection have become significant enough to warrant implementation across all levels of government and public institutions.

An integrated cloud-based data analytics platform enabling highway operators to make better-informed decisions with more precision and efficiency than ever before. 

It enables operators to consume real-time situational information on road conditions, managing real-time incidents and hazards; and integrate operations across multiple systems using standard business tools

 

Business Logistics

Logistics is a challenge for any business. With the ever-changing demands of customers and suppliers, there is no time to manage records and inventory correctly. 

Transportation management systems solve this problem by letting businesses monitor shipments in real-time and activate vehicles accordingly. The monitoring allows the company to react quickly to any vehicle issues, reducing the time spent tracking items or waiting at the warehouse. 

Given this, vehicle transport companies, for instance, can plan their fleet in real-time and react to changing market conditions proactively, all without sacrificing record maintenance or human staff. 

This saves companies money by cutting down on staffing and transportation costs while providing a better service to their customers.

 

Business Operations Analysis 

The best transportation management software knows where your business is going, and it’s trying to anticipate where you want to be. It knows where freight is going, how it will change, and when to expect a specific product or service. 

It allows you to view real-time location, status, location-based information, product type, and Atlas routing information from any source connected to the transportation network.

This allows businesses to make smarter business and supply decisions, increase efficiency, and improve operational effectiveness. 

The cloud-based solutions are usually integrated suites of systems designed to help transport, logistics and supply chain companies streamline their transportation management processes. 

It provides a centralised, single-point solution for managing all your transportation needs.

 

Conclusion

The transportation industry is undergoing some radical change. Big data and cloud technology have dramatically changed the way organisations operate, providing various advanced analytic and reporting capabilities that were previously only available in expensive, based-on-demand systems. 

Transportation is one industry that has seen this significant impact, as cloud-based transportation solutions have made it possible to grow and operate more efficiently without sacrificing the quality of service or customer service that customers rely on daily. 

From medium-scale public services to large-scale operational functionality, cloud-based infrastructure delivers new capabilities for an increasingly data-driven world. 

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