Altair > Case Studies > Leveraging IoT and Simulation for Enhanced Road Safety: A Case Study on MDGo

Leveraging IoT and Simulation for Enhanced Road Safety: A Case Study on MDGo

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Technology Category
  • Analytics & Modeling - Digital Twin / Simulation
  • Sensors - Autonomous Driving Sensors
Applicable Industries
  • Automotive
  • Equipment & Machinery
Applicable Functions
  • Procurement
Use Cases
  • Transportation Simulation
  • Virtual Training
Services
  • System Integration
  • Training
About The Customer
MDGo is an Israeli startup focused on leveraging technology to enhance road safety. The team is diverse, comprising of medical advisors, and simulation and software specialists, all working together to contribute their expertise in realizing this challenging project. Their goal is to reduce the number of fatalities that occur in the hours and days following a car crash by providing real-time, detailed information about the victim’s injuries to help first responders make informed decisions. They are currently establishing their system throughout Israel in collaboration with the major EMS (emergency medical service) and are in discussions with several international centers and institutions to implement their system globally.
The Challenge
The challenge faced by MDGo, an Israeli startup, was to develop a system that could automatically alert first responders and hospitals about accidents and provide detailed reports on potential injuries. The goal was to reduce the number of fatalities that occur in the hours and days following a car crash, which research shows could be up to 44 percent of all car crash deaths. The system needed to provide real-time, detailed information about the victim’s injuries to help first responders make informed decisions. However, obtaining the necessary data for such a system was a challenge. Physical crash tests, while useful, were not diverse enough and were defined by regulations. Moreover, conducting a large number of physical crash tests was expensive.
The Solution
MDGo turned to simulation to overcome the challenges. They used Altair RadiossTM to conduct numerous crash simulations, combining these results with actual sensor data from car accidents. This allowed the system to predict potential occupant injuries. The Altair tools enabled MDGo to generate their own results and allowed for more diverse scenarios. The crash simulations included crash test dummies to explore the impact a crash has on the human body. MDGo is currently establishing its system throughout Israel in collaboration with the major EMS (emergency medical service). They have connected almost 250,000 vehicles in Israel to the EMS, and their system has already reported around 150 validated crashes to the EMS. MDGo is also in discussions with several international centers and institutions to implement their system in as many countries as possible.
Operational Impact
  • The solution developed by MDGo has been successful in providing real-time, detailed information about accident victims' injuries, enabling first responders to make better-informed decisions. The use of Altair RadiossTM for crash simulations has allowed MDGo to cover multiple variants of crash configurations, leading to more accurate injury predictions. This has not only saved lives but also reduced the costs and time associated with physical crash tests. The system has been implemented throughout Israel, with plans for international expansion. The Altair Startup program has been instrumental in this success, providing MDGo with access to a range of simulation tools, IoT, and HPC solutions at an affordable price.
Quantitative Benefit
  • MDGo was able to connect almost 250,000 vehicles in Israel to the EMS
  • Their system has already reported around 150 validated crashes to the EMS
  • The average turnaround time from crash to informing the EMS is eight seconds

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