13 Sep 2022

IoT in transportation: How is it being used?


The Internet of Things (IoT) is being used by transportation and logistics companies to streamline internal processes, improve driver productivity and operate more efficiently. The business impact of IoT is hard to over-state, whether it’s improving driver safety or making operations more efficient. In this article, we look at a just some of the many potential use-cases for IoT in transportation: 


Real-time asset tracking 

Any company running a fleet needs to know where its vehicles are at any given time. Whether a facilities management company with engineers on the road, a courier firm delivering urgent packages or a logistics giant supplying goods to warehouses and supermarkets, asset tracking is fundamental. Embedded IoT sensors enable companies to monitor their transport assets in real-time 


Data-driven decision-making 

IoT devices using geolocation capabilitieswhen combined with weather analytics, can help drivers avoid potential disruptions. Fuel economy tracking allows fleet managers to track and compare fuel consumption and repair costs. This can identify where targeted driver training may be needed


Advanced analytics 

IoT sensors can also help transport businesses to monitor key performance indicators such as cargo monitoring, resource utilisation and route optimisation. This helps businesses cut costs and offer speedier deliveries to customers.  


Improved safety 

With the ability to track the amount of time a driver is on the road without rest, how fast a vehicle is moving and how long they are idle, IoT sensors are a valuable tool in monitoring compliance with safety regulations. 


Assisted driving 

One of the most promising benefits of IoT in transportation is its potential to allow vehicles to communicate with each other. With real-time data on the location of everything on the road, IoT-connected vehicles can act autonomously, turning or braking to avoid a collision, eliminating human fallibility.  


Predictive, preventive maintenance 

Data from IoT sensors and other sources can be analysed by an algorithm to optimise vehicle maintenance. Using historical information and current vehicle condition, transportation companies can predict the likelihood and timing of maintenance issues before they happen. Alerts can flag a low battery, check engine, oil change, coolant temperature, service reminders and more, minimising the risk of costly downtime and automatically notifying a mechanic or maintenance team.


Dynamic navigation 

Millions of drivers globally rely on satellite navigation systems. But hazards can appear in milliseconds and GPS systems can be slow to adapt. IoT systems communicate traffic jams and dangers in real-time, giving drivers the opportunity to navigate around them. 


Challenges with implementing IoT

The use of IoT in transportation is still a new concept, with limited deployments and a focus on specific use-cases rather than a more holistic network approach. This means the transportation industry still faces implementation challenges including: 


Security breaches 

The number of network-connected devices is expected to rise to over 100 billion by 2030, so transport businesses must ensure sensitive data and corporate networks are protected. This will involve looking at measures like device authentication, user access control and data transmission encryption. 


Ability to scale up 

The proliferation of IoT in transportation means businesses need to work with massively increased volumes of data and manage more IP addresses. Any network infrastructure supporting the IoT solution also needs to be capable of managing the constant flow of information to and from sensors and devices. 


Upfront investment 

While the adoption of IoT technology results in savings and greater operational efficiency for most transportation businesses, it can require significant initial investment.  




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