As we accelerate our journey toward the future of connected vehicles, the need for the integration of real-time data streams is also increasing. Thanks to the unlimited benefits of data-driven telematics solutions in vehicles for ensuring efficient on-road journeys.
In fact, a study by Gartner estimated that 53 percent of the entire automotive industry’s endpoint market is going to be 5G IoT by 2023. Consequently, the scope for the implementation of real-time data streams in fleets will also thrive.
One good thing about getting insights into the real-time data of connected vehicles will be the reduction in fuel cost. But before knowing the benefits of real-time data streaming, let’s explore the incidents when vehicles’ emission consumes maximum fuel.
What are the incidents when vehicle emission consumes maximum fuel?
There are several incidents when we have to deal with unnecessary fuel wastage and fuel cost hike. Here are a few of those incidents that become hurdles in your smoother and more affordable road journeys:
When the driver gets stuck in traffic for not being aware of upcoming road congestion
During the driver’s excessive idling behaviour in the parking areas
When the driver shows aggressive driving manoeuvres, even if not required
In case of failure in regular vehicle health check-ups that left faulty engines and batteries unidentified.
Due to Overloading putting unnecessary pressure on the engine
Inability to manage fuel consumption efficiently during short-haul trips
Required Real-time Data Stream Solutions for Reducing Fuel Costs in Fleets
Enabling Multi-level Data Calibration Procedures to Monitor Driving Behavior
The current automotive industry requires an effective fleet management solution for letting fleet owners analyze several factors leading to vehicle inefficiencies. While using real-time streams via fleet management technologies, fleet owners can effortlessly reduce fuel usage in the following ways: 1- Enabling Multi-level Data Calibration Procedures to Monitor Driving Behavior.
Don’t you think day-to-day operations will become smooth if you can effortlessly monitor fleet drivers’ actions as fleet owners and respond to them immediately? OEMs require to implement multi-level calibration procedures that ensure up to 95% accuracy.
Well, it’s possible by integrating a reliable fuel management solution for handling big real-time data pipelines effortlessly. Furthermore, it will allow fleet owners to set threshold parameters to identify fuel pilferage, control fuel usage, etc.
Switching to Advanced GPS Technology for Efficient Fuel Management
Vehicles can waste about a quarter of a gallon of fuel if stalled in traffic for even 15 minutes. Choosing an alternative route with less traffic is one of the ways to prevent fuel wastage and cut fuel costs.
But will it make any sense if the fleet manager gets delayed alert of this unprecedented situation of road congestion? Switching to Advanced GPS technology can help fleet managers to get real-time insights into the road-traffic across various locations.
Based on these real-time insights, fleet managers can apply map engines to determine optimal routes and traffic status on highways. In return, they can suggest the drivers choose an alternative route in case of forthcoming road congestion, saving fuel wastage and cost.
Incorporating Intelligent Predictive Maintenance Technologies
Fleet owners should implement intelligent predictive maintenance technologies to analyze various layers of RUL (Remaining Useful Life) estimator models with high accuracy.
Furthermore, they can configure filters and event parameters to derive real-time insights, improving the vehicle’s efficiency and uptime. Consequently, it will ensure fleet owners achieve maximum fuel efficiency from all fleets.
For instance, fleet owners can leverage historical service data and current OBD data to receive real-time notifications that keep them informed about inadequate tyre pressure maintenance. As a result, it will help fleet owners to optimize the anomalies in the air pressure of the tires, further achieving their optimal performance. What more? It will help them to enhance fuel efficiency, reducing the additional cost spent on fuel usage.
In fact, studies have shown that such proactive measures can decrease up to 8% of fuel consumption.
Integrating A Reliable Fuel Level Sensor Technology
Another need of the hour to reduce fuel wastage in connected vehicles is the integration of reliable fuel level sensor technology. It allows the ingestion of real-time data related to fuel usage without compromising accuracy. Due to it, fleet managers can get regular insights into the availability of fuel in all their vehicles.
Undoubtedly, the aforementioned solutions are a few ways to reduce the fuel cost in connected vehicles. But is it too easy when it comes to implementing these solutions at a scale?
Condense, Resolving Data Scalability Challenge in Connected Vehicles
Handling the real-time data streaming from ten TCUs isn’t difficult. But what about thousands of edge devices? Here is where you need a reliable connected mobility solution to ingest, analyze and manage real-time data from millions of edge devices.
Zeliot’s Condense and Condense Edge makes it a seamless process where the former powers the latter. As a result, OEMs can implement an OTA authentication mechanism to manage real-time data pipelines, depending on various user-level layers at a scale. Furthermore, OEMs can create and extend highly customized data processing pipelines according to the use case.
In the case of Fuel analytics, OEMs can configure the fuel module working within Condense that sits in the data pipeline and processes data for generating refueling and pilferage-related events to upstream services via output connector. Moreover, they can add their custom logic parameters according to their specific requirements.
Wrapping it up:
Technology has always played an essential role in our lives, no matter whether it's for good or bad. The real-time data stream in fleets is one of the massive impacts of the ever-changing technology in connected vehicles. Fuel wastage issues can be dodged seamlessly via close integration between software and associated firmware while handling all the real-time data pipelines at a scale. And Zeliot's Condense and Condense Edge makes it even simpler.
Hopefully, this article post gave you ample reasons why real-time data streams let fleets reduce their collective fuel cost. As a result, it will allow the OEMs, enterprises and fleet managers to have more money in their pockets.