Category Archives: Transportation Application Development

ai in transportation

Artificial Intelligence (AI) in Transportation Software


The transportation industry plays a vital role in our global economy, connecting people and goods across vast distances. As the world becomes increasingly interconnected, the need for efficient transportation systems grows more crucial. Artificial Intelligence (AI) has emerged as a powerful tool in revolutionizing transportation software, enabling accurate forecasting, intelligent decision-making, and optimization of various processes. In this blog, we will explore the role of AI in transportation software and its implications for the future. This analysis is based on insights from industry experts and reputable sources.

Role of Artificial Intelligence (AI) in Transportation Software

1. Forecasting with AI

Accurate forecasting is essential for efficient transportation planning and operations. AI-driven algorithms can analyze vast amounts of historical and real-time data to generate precise predictions. These predictions help optimize routes, manage inventory, and improve resource allocation. Here are a few key areas where AI-based forecasting plays a significant role:

  1. Traffic Management: AI algorithms can analyze real-time data from sensors, cameras, and connected vehicles to predict traffic patterns and congestion. This information aids in optimizing traffic flow, reducing travel time, and improving overall road safety.
  2. Demand Forecasting: AI models can analyze historical data, weather patterns, and socio-economic factors to accurately forecast demand for transportation services. This helps optimize fleet management, scheduling, and resource allocation, leading to better operational efficiency.
  3. Supply Chain Management: AI-driven forecasting can enhance supply chain visibility by predicting demand fluctuations, identifying potential bottlenecks, and optimizing inventory levels. This enables better coordination between suppliers, manufacturers, and distributors, leading to cost savings and improved customer satisfaction.

2. Decision-Making with AI

Intelligent decision-making is a critical aspect of transportation management. AI-powered systems can analyze complex data sets, consider various factors, and make informed decisions in real-time. Here are a few examples of AI’s role in decision-making within the transportation industry:

  1. Route Optimization: AI algorithms can evaluate multiple variables such as traffic conditions, fuel consumption, delivery time windows, and vehicle capacity to determine the most efficient routes. This leads to cost reduction, improved delivery times, and increased customer satisfaction.
  2. Vehicle and Asset Maintenance: AI-based predictive maintenance models can analyze sensor data, historical maintenance records, and environmental factors to predict equipment failures. This enables proactive maintenance scheduling, reducing downtime and optimizing asset utilization.
  3. Risk Assessment: AI systems can analyze data from various sources, including weather forecasts, road conditions, and historical accident data, to assess potential risks. This information can be used to optimize routes, identify safer alternatives, and enhance overall transportation safety.

3. Optimization with AI

Optimization is crucial for achieving efficiency and cost savings in transportation operations. AI algorithms can optimize various aspects of transportation systems by considering multiple variables simultaneously. Here are a few examples of AI-based optimization in transportation software:

  1. Fleet Management: AI can optimize fleet size, vehicle assignments, and routing to maximize resource utilization while minimizing costs. This leads to improved fuel efficiency, reduced emissions, and enhanced operational performance.
  2. Energy Efficiency: AI algorithms can analyze real-time data and optimize energy usage in transportation systems. This includes optimizing traffic signals, implementing dynamic routing algorithms, and identifying opportunities for alternative energy sources. These measures contribute to reducing carbon footprints and promoting sustainability.
  3. Last-Mile Delivery: AI-based algorithms can optimize last-mile delivery operations by considering factors such as package size, delivery windows, and vehicle capacities. This ensures efficient utilization of resources and timely deliveries, improving customer satisfaction.

AI in Transportation: Challenges and Considerations

While AI holds great promise for transportation software, several challenges and considerations must be addressed:

  1. Data Quality and Integration: AI models require access to high-quality data from various sources. Ensuring data accuracy, integrity, and compatibility across different systems and stakeholders can be challenging. Robust data governance and integration frameworks are essential for successful AI implementation.
  2. Ethical and Legal Implications: As AI becomes more pervasive in transportation systems, ethical considerations such as privacy, bias, and accountability become crucial. Regulations and standards need to be developed to address these concerns and ensure responsible AI implementation.
  3. Adoption and Training: The successful implementation of AI in transportation software requires organizational buy-in, skilled personnel, and proper training. Organizations must invest in employee training and change management strategies to foster a culture that embraces AI technology.


Artificial Intelligence is revolutionizing the transportation industry by enabling accurate forecasting, intelligent decision-making, and optimization of various processes. From traffic management to supply chain operations and last-mile delivery, AI-driven transportation software has the potential to enhance efficiency, reduce costs, and improve customer satisfaction. However, challenges such as data quality, ethical considerations, and adoption barriers must be overcome to realize AI’s potential in transportation fully. As technology advances, opting for AI development services has a crucial role in shaping the future of transportation systems worldwide.

Mindfire Solutions is an expert in transportation and logistics software development. Our team delivers tailored solutions, leveraging AI to optimize operations and drive growth in the transportation industry.

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IoT in Automotive Industry - Smart Cars

How IoT In Automotive Industry Is Transforming Smart Cars

The Internet of Things is rapidly influencing every sphere of our lives. IoT in Automotive Industry is seeing one such rapid growth. As of 2020, an article by Deloitte cites that over 20 billion IoT devices are in use. 

Overtly, the connected vehicle is the most recent embodiment of IoT technology. While automotive engineers and software developers both claim responsibility for this success, the real power behind the wheels lies with the IoT service providers. 

Our cars can link to our smartphones and stream our favorite playlists for hours. But today it is equipped to provide us with emergency roadside assistance and real-time traffic alerts. With a simple click, IoT devices can evaluate engine performance, monitor and control air temperature, and measure physical indicators. Hence, automotive companies can no longer afford to overlook the contribution and role of IoT. 

Internet Of Things Will Be The Backbone Of The Future Automotive Industry

The Internet of Things is ushering transformative across sectors; the automotive industry will continue to change rapidly under its influence. It will be the backbone of crucial industry changes. And the connected car will be a critical player in determining the future economy, besides providing an enjoyable user experience on the roads. 

We see examples of power struggles between the software and the automotive industries. Evidently, the industry is evolving and reinventing itself. We are moving from the age of products to the age of experiences, from hardware to software, from information to value creation. The customer mindset is transitioning from siloed products to inclusive ecosystems.

As the automotive industry undergoes this overhaul in its position, IoT in automotive industry can fortify using the following methods:

  1. Align the vision with the automotive industry – IoT, software service providers, and the automotive industry will need to be better aligned to understand the market needs. 
  2. Accountability of data is of paramount importance – Who owns the data, how one uses it, and how one ensures its privacy will need to be determined. 
  3. Adopt a customer and service-centric approach for the entire automotive lifecycle.
  4. Accept and adopt newer capabilities in-vehicle software development
  5. Address production, manufacturing, and lifecycle challenges with the help of technology, ensuring a hassle-free and integrated development. 
  6. Form strategic partnerships to create a value chain for smart-device manufacturers

The Changes Brought Forward By Iot In Automotive Industry:

Wireless technology lies at the heart of the Internet of Things. IoT devices collect, share, store and exchange data with other devices, making it a connected ecosystem. It is then powered by the ability to communicate without any human involvement. 

IoT in automotive manufacturing is the most significant adoption – to reduce human involvement, increased time management, and improve productivity. While the cross-industry and multi-sectoral dependence on it grows, consumer use of IoT outpaces that of business.  

Connected vehicles are likely to increase by 67% over the next two years with consumers’ spending on in-vehicle connectivity anticipated to double by 2030. Thus, drivers worldwide are constantly expecting their vehicles to resemble intuitive smartphones on wheels. And IoT indeed has already proven its ability to fulfill demands around this futuristic technology. 

So how can the IoT developers keep pace with the demands of the automotive industry?

Predictive repairing

IoT connectivity comes with many advantages, predictive maintenance technology being one of them. A Smart car will collect performance data of the different parts and transfer it to the cloud. Then insights based on the data can help with a risk evaluation and prevention of a potential malfunction to avoid future incidents. Both private car owners and dealers of larger fleets can adopt predictive maintenance. In the future, IoT in automotive industry will play a prominent role in preventing unplanned stops or breakdowns. Also affecting the insurance and risk industry – with customized vehicle insurance premiums powered by vehicle and driver performance.

IoT in Automotive Industry - Predictive repairing

Automatic updates

IoT-powered automatic updates in connected vehicles can improve traffic management by increasing the accuracy of real-time traffic data services, enabling millions of drivers with a more comfortable and supported driving experience. As a result, many manufacturers in the automotive industry are redesigning vehicle software and hardware to comply with NDS (Navigation Data Standard) and improve vehicles’ connectivity. 

Fleet Management 

Truck transportation is often disregarded when adopting innovations for the automotive industry. However, there have been some breakthrough innovations. One of the most significant examples is the Tesla Classic 8 electric truck which can go 500 miles on a single charge. Using IoT, the vehicle can call 911 if the driver isn’t responding. IoT can tap into large fleets that can give them information on routes, fuel consumption, performance data, and traffic. Integrated cloud-based platforms can gain multiple benefits, such as tracking vehicle positions to monitor time and efficiency. 

Smart manufacturing 

Smart infrastructure is powering Smart cities and revolutionizing the automotive industry. It will not take long for street signs and traffic signals to become a thing of the past. Our connected cars in the future will be smart enough to take twists and turns on busy roads with Smart technology. For this, we require a drastic change in how automotive manufacturers approach a Smart car. As a result, software and hardware development will need to be combined to create that perfect car, straight from the future. 

Braking Point

The Independent points out that by 2030, the standard cars will have evolved from merely assisting drivers to fully taking control. IoT technology will power tomorrow’s car with sophisticated sensors and cameras and the ability to communicate with road signages and markings. Most payments will happen online, indicating that drivers will no longer have to carry cash. Consequently, vehicles pay their insurance themselves! 

In conclusion, with the influence of IoT in automotive industry, millions of drivers can connect with over-the-air software to receive updates, information, and bug fixes. V2V, V2I, and V2X connectivity will launch a new era in fleet management. With IoT, a Wifi connection will be enough to make the drive smooth, safe, and 100% hassle-free. So, there’s no braking point but full throttle with max safety and much more than you might think. 

Looking for more information?

Check out our white papers on technology that can help improve your transportation and logistics business –

  1. Business efficiency management
  2. Product Tracking Solution

Get more insights on how we make it easy for IoT solutions in any business like healthcare with our automated testing solutions.


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Smart Parking Solutions


With the increase in vehicular traffic in the urban landscape, authorities’ world over are grappling with parking issues. Such is the importance of parking spaces these days that parking convenience decides the footfall of say a movie theatre, mall or for that matter any public space. Convenient smart parking spaces come at a cost and are the most common area for conflict for urban planners, architects, builders and civic authorities.

With space at a premium and a burgeoning population, the pressure to find a solution to this growing problem is immense on the stakeholders. The question that automatically arises is – Can IT solutions if not eradicate but help ease out the parking issues.

We look at some of the ways IT can help develop smart parking solutions which has helped in sorting out the parking issues.

Satellite Parking Planning:

One of the solutions which is gaining momentum to solve the Parking conundrum is using Satellite imagery to solve the parking issue. Now Satellite imagery isn’t enough to solve the problem on its own. It has to be integrated with high resolution imagery and machine learning to spot vacant parking slots.

How this generally works is collecting images from Satellite and using specific satellite based algorithm to enhance the image resolution.  Then, through a set of machine learning applications vacant parking slots are detected.


First and foremost is the High Resolution Satellite imagery and second is the Cost. Without high resolution images and cost effectiveness, this won’t be a fruitful venture.

As the quality of images varies from satellite to satellite. The effectiveness of Satellite Parking Planning will depend a great deal on pairing the imagery (both low and high resolution) from various satellites and quantify those in machine learning algorithm.

The interface needs to be customised as different agencies and clients will have different UI/UX interface requirements. There will be instances where the Satellite images might not be available, then drone images or photographs from aerial photography can help to fill the gap. Create coherency between Satellite data and physical maps.


Creating a technical architecture for sourcing and processing satellite images with Artificial Intelligence along with Deep Learning to improve accuracy. Form partnership with companies that specialises in particular skill set to lower the cost.

‘The Research Institute for Housing America, part of the Washington, D.C.-based Mortgage Bankers Association, used satellite imagery and tax records this year to tally parking space totals in different – sized U.S. cities. It determined that outside of New York City, the parking densities per acre far exceeded the population densities’ – Excerpt from People Over Parking published in Oct’18 by American Planning Association.

The European Space Agency teamed up with an Austrian based start-up Parkbob to provide Satellite Driven Parking Services. Satellite Parking Planning will be an important milestone for developing advanced digital last-mile solutions and a great proponent of how public-private partnerships can aid implementation of new technologies in the market.

1. Access Point:

Access Points or gateways detect the passage of vehicles in and out of the parking zone in real time. This gives the authorities and the drivers accurate information on the accuracy levels of the parking zone at all times.

The Real Time information is important, as it saves the driver the hassle of searching for a parking space. Moreover, this leads to the  ripple effect of less congestion at parking lots, reducing fuel consumption and carbon footprint. The sum total of all this is Less Pollution. Thus, Access Points enables transport regulators to manage public parking zones optimally.

How does the system work?

Access Points receives data from the sensor nodes and send them to the data processing centre in real time. From a hardware point of view, the characteristics of the Access Points and Sensor Nodes are similar, except that unlike sensor nodes, they don’t perform the function of packing and unpacking of the data.

The Access points communicate with the sensor nodes using IPv6, the acronym for 6LoWPAN (Low Power Wireless Personal Area Network) communication protocol. If there is a node in the data centre acting as a border router, communication between the base station and the gateway will be done by 6LoWPAN. However, if the gateway is located very close to the data centre, a RS-232 (Recommended Standard 232. It is one of the oldest yet popular communication protocol for transmission of data over medium distances.

2. Parking Sensors:

Sensor based parking concepts are popular because they are cost effective & non-intrusive system of managing parking spaces. It’s based on wireless networks of photoelectric sensors that are deployed at various access points on the roads especially the entry and exit points.

The sensors detect the passage of vehicles and relay the information to the data centre. For instance, this gives accurate information on the number of vehicles and the occupancy levels in real-time. Thus, the data centre in turn relays the information to the drivers and authorities. This facilitates the former in finding an appropriate parking space and the later to take steps to control traffic in case of congestion.

Smart Parking Systems typically have pavements with built in sensors as well as overhead vehicle detectors for monitoring the availability of the parking spaces. These sensors use advanced algorithms for vehicle tracking. They also have the ability to determine if the location of a stationary vehicle corresponds to that of a parking facility or not. Since the sensors provide real time overview of parking space occupancy, Law enforcement bodies can use the service to get data on parking violations. They can check if a car is parked on a lane reserved for emergency vehicles or a cycle path.

As mentioned earlier Sensors are a popular choice amongst authorities and stakeholders for smart parking facilities in urban areas. Since the subject is a wide ranging one, where each section can be a blog in itself, we will delve on the gist of the various types of sensors used to mitigate the parking issues just to get an insight.

Types of sensors:

• Vision systems – are based on digital sensors embedded within industrial cameras and optics. They help to acquire images. A sensor capable high definition camera (usually Raspberry Pi V2 camera is preferred) along with the revolutionary OmniBSI technology (high sensitivity in low light, low cross talk (improved image resolution), and low noise), it can identify an automobile’s license plate, when the presence of a vehicle is detected in the parking space.

• Radar Sensors – These sensors generate 2D images with the help of artificial intelligence. In other words, the trained neural network synthesises the images displaying the status of the parking space. These sensors offer the option to use one powerful device to cover multiple vacant parking slots.

• Magnetometers – Use the surrounding magnetic field to detect vehicular movement. It comes fitted with RFID (Radio Frequency Identification) enabling on-street parking reservation.

• Ultrasonic sensors – Emits sounds waves at a particularly frequency to detect whether a particular parking spot is vacant. However, the effectiveness and accuracy of these sensors means that they are being incorporated in many of the smart parking solutions. Ultrasonic sensors have evolved thanks to continuous technological advancements. With LPWAN (low power wide area network) technologies such as LoRa (connects sensors for transmission of parking space status), ultrasonic sensors have high detection accuracy.

• Infrared sensors(IR) – When an object comes closer to the sensor, the infrared light from the LED reflects off the object. This helps to trace it from receiver’s end.

3. Cloud Based Parking Systems:

The sensors detect the location data of automobiles and occupancy of parking spaces. This is transferred to the cloud gateway. From there the network server processes it. Above all, the drivers and automobile rental managers can access the data. This gives them an insight into the parking space status.

How does the system work?

Cloud Based Parking Systems use the web service for reading and sending data to the sensor network using Play Framework. The framework is based on web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications using Java technology. Moreover, it’s a modular framework with integrated unit testing (it includes support for JUnit and Selenium). It allows static methods, non-blocking asynchronous communication, and simple corrective maintenance.

The registration component consists of a database to store information on registered users, the number of sensor networks deployed, parking spaces available, etc. Due to its multiple usage and versatality PostgreSQL is mostly used to set up the database. PostgreSQL functions include transactions, referential integrity, views and a multitude of features. It also incorporates Multiversion Currency Control—MVCC—which allows other clients to access it without the need for locking. These features are suitable for systems that need to handle large amounts of data and a high number of concurrent users accessing the system simultaneously, as will be required by the proposed system.

Final Thoughts:

Smart parking solutions will have a significant impact on the urban life. It will aid the citizens and the Enforcement authorities in the following way:

1.  Offer real time monitoring of the parking spaces.
2.  Provide better safety and control for businesses and law enforcement authorities.
3.  Optimize space and time in a hectic urban environment.
4.  Predict the flow of vehicles by analysing parking routines at public spaces

Smart Parking Solutions will shape the landscape of the mega cities in the near future. If you too are looking for Smart Parking Solutions, Mindfire Solutions can be your partner of choice. We have significant experience over the years working with sensor and cloud based applications. We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.

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Optimization of Gasoline Transportation

It was almost midnight. Leaning against the patio door, Steven looked down at the screen of his phone one last time and let out a deep sigh. No messages from Roy, his new delivery recruit, yet.

gasoline container

Steven’s wife Tara knew what was wrong. She had never seen her husband so distraught in their eight years of marriage. Continue reading Optimization of Gasoline Transportation

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