Sustainable mobility has always been the talk of the town over recent years and for good reasons. One of them is the adverse impact of vehicle emissions on the environment. In fact, according to a report by the United States Environmental Protection Agency, the transportation sector accounts for 29% of global greenhouse emissions. What’s the solution?
Leveraging innovative technologies that minimize the impact of vehicle emissions while enhancing global mobility is the solution. Real-time data and intelligent systems for smart traffic control and traffic data analytics will make it possible.
Let’s explore how connected vehicles drive the future of sustainable mobility and the challenges OEMs face to achieve this goal.
How Are Connected Vehicle Technologies Driving the Future of Sustainable Mobility with Real-time Data Management?
Connected vehicle technologies let enterprises leverage the capabilities of real-time data analytics, further reinventing the existing cloud ecosystem, and making it more sustainable. Here is how OEMs can create a difference:
Optimizing Connected Vehicles with Data-driven Insights
Businesses can enhance the efficiency of the existing transportation system by utilizing actionable insights to make quick decisions during unprecedented traffic conditions, accidents, etc. And Real-time data streaming from various sources (GPS, OBD, sensors, etc.) is the actual game-changing innovation behind it.
This data can allow enterprises to set specific rules to minimize fuel usage, empty trips, vehicle idling time due to traffic, etc. Consequently, it enhances the fleet’s efficiency and overall transportation sustainability.
Incorporating Dynamic Routing & Navigation Solutions
As discussed above, businesses can enhance their vehicle’s performance by leveraging the power of real-time data streaming into their existing IoT solutions. But how? Well, one of the ways is to implement specific dynamic route optimization algorithms in their route optimization software.
Furthermore, these algorithms will allow fleet owners to make smart decisions based on real-time data insights. For instance, they can set rule-based logic for combining deliveries and collections in the same route.
Innovating Shared Micro Mobility Solutions
Shared micro-mobility has the potential to become one of the most sustainable modes in the world, being affordable at the same time. Rideshare companies and municipalities are deploying cutting-edge cloud computing technologies and IoT devices to track and manage their assets.
Again, real-time mobility data play a major role here, especially when it comes to efficient asset management. For instance, ride-share companies or municipalities can collect and analyze this data for capacity planning (matching passengers and vehicles) in real time.
Consequently, it will help them to reduce the number of empty trips and optimize resource utilization. Hence, it will promote sustainable mobility by reducing the number of individual vehicles on the road with enhanced transportation efficiency.
Facilitating Environment Monitoring & Reporting Parameters
Policymakers and stakeholders can also contribute a fraction to ensure the effectiveness of the sustainable mobility ecosystem by monitoring and reporting the relevant environmental parameters.
For instance, they can utilize the On-board Diagnostic (OBD) data for emission control. This will help the policymakers to analyze the fault codes in the system. Fleet owners and OEMs can use this data to send live alerts and notifications to drivers.
So, they can take quick actions to fix any emission-related problem in the vehicle. Ultimately, it will help enterprises and OEMs to audit their carbon footprints, further encouraging them to control their vehicles’ emissions.
Optimizing Electric Vehicle Charging Infrastructure
Although OEMs and enterprises are shifting their spending allocations from gas-powered to EVs, their charging infrastructures are still not optimized. It’s the scenario where real-time data comes into the picture.
Using this data, they can make further analysis based on real-time insights on the availability of vehicle usage patterns and energy demand. These systems can balance charging loads, predict demand, and optimize the allocation of resources, ensuring the optimal use of charging infrastructure.
Challenges with real-time data management in building sustainable mobility solutions
Speed Issues While Ingesting High Volume of Real-time Data
Managing and processing large volumes of real-time data generated by connected vehicles, infrastructure, and sensors can be challenging. One of the hurdles is executing secure and fast data transmission that requires the incorporation of robust infrastructure and efficient data processing technologies. Adding to the complexity, they need to ensure data quality and accuracy at the same time.
Complexities Related to Data Integration and Interoperability
Real-time data in sustainable mobility solutions often come from diverse sources and formats. Integrating and making this data interoperable can be complex, requiring standardized protocols and data models to enable seamless communication and data sharing between different systems and stakeholders.
Hurdles While Ensuring Data Quality and Reliability
Handling real-time data requires specific criteria to ensure data quality and reliability. It’s because inaccurate or incomplete data can lead to incorrect insights and decision-making, further impacting the effectiveness of sustainable mobility solutions.
However, maintaining data integrity, consistency, and accuracy which is essential for real-time analysis isn’t that easy. Doing it manually can always lead to unintended human errors.
Concerns Related to Privacy and Security
Managing real-time data in sustainable mobility solutions involves collecting and analyzing sensitive information, such as location data and personal details.
Ensuring data privacy, protecting it from unauthorized third-party access by implementing robust security measures are vital to prevent data breaches and cyber-attacks in connected vehicles.
But how well enterprises do it in their existing IoT infrastructure is still a concern.
Difficulty in Managing Scalability and Infrastructure Requirements
As the scale of sustainable mobility solutions expands, the infrastructure supporting real-time data management needs to scale accordingly. Scalability challenges may arise in terms of storage, computational power, network bandwidth, and processing capabilities, requiring robust and flexible infrastructure to handle ever-increasing data volumes and user demands.
Barriers leading to delays in Real-time Decision-making
Making effective real-time decisions based on the analyzed data poses its own challenges. It requires real-time analytics capabilities, sophisticated algorithms, and efficient decision-making processes to act upon insights derived from the data timely.
Although the list of challenges while dealing with real-time mobility data streaming various source, the aforementioned are a few of them. Let’s explore how to overcome these issues.
Overcoming the Challenges of Sustainable Mobility with A Low Code No Code Mobility Data Platform
Switching to a Low Code No Code Mobility Data Platform is a one-stop solution to manage volumes of real-time data streaming from various data sources with ease. You can leverage this click-to-deploy IoT platform to customize your solutions without even disturbing your existing cloud infrastructure.
Let’s explore how it fits well with the sustainable-mobility-specific use case:
- Helps you deal with scalability challenges by working seamlessly with all the after-market IoT devices
- Provides predefined mobility-specific off-the-shelf modules for transformation, allowing businesses to make quick decisions on the basis of those real-time insights
- Offers connector models to ingest real-time data, and apply custom business logic like energy optimization algorithms, environment monitoring & reporting, etc. on top of it, further streamlining the data pipelines easily
- Allows the direct processing of the data streaming from Telematics Hardware in the enterprise-owned cloud, resulting in enhancement of data security, cost optimization, and customization
- Scales up automatically whenever there is a load of data packets, further bringing down manual intervention and costs
Summing it up:
Innovations never go out of scope, especially in the sustainable mobility ecosystem. Driving actionable insights from real-time data is the ultimate thing that OEMs and enterprises need to do for a greener environment.
With Zeliot’s Condense, a low code no code mobility data platform, we make it a smooth journey where you have complete control over your data, utilizing which you can create your own solutions.
Zeliot At a Glance:
Zeliot, a booming company founded in 2018, is taking charge of breaking the barriers in the connected mobility ecosystem. Our vision is to bring deep-tech software-managed applications to OEMs and Enterprises, allowing them to have more control over their data. We are making it possible with Condense and Condense Edge where the former is powering the latter.
About The Author
Sudeep Nayak is a co-founder and COO of Zeliot, a new-age deep tech company founded in 2018 with the vision of offering IoT platform-based solutions to enterprises and Automotive OEMs. Having expertise in domains like Machine Learning, Data Analytics, Connectivity Solutions, and Sales, he leads most of the techno-commercial discussions at Zeliot.
