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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
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Safe Driving Distance and Speed for Collision Avoidance in Connected Vehicles.

Samir A Elsagheer Mohamed1,2,3, Khaled A Alshalfan4, Mohammed A Al-Hagery5,6

  • 1Computer Engineering Department, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia.

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Summary

Tailgating is dangerous, but new Internet of Vehicles (IoV) technology helps connected cars calculate safe driving distances and speeds. This system prevents forward collisions by dynamically adjusting to road and weather conditions.

Keywords:
Assured Clear Distance AheadIntelligent Transportation SystemsInternet of VehiclesSafe Driving DistanceSafe Driving Speedsforward-collision avoidancesmart cities

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Internet of Vehicles (IoV)
  • Road Safety Engineering

Background:

  • Tailgating, or driving too close to the vehicle ahead, is a major cause of road accidents.
  • The Assured Clear Distance Ahead (ACDA), or Safe Driving Distance, is crucial for preventing rear-end collisions.
  • Connected vehicles and advancements in ITS offer new possibilities for proactive safety measures.

Purpose of the Study:

  • To propose an Internet of Vehicles (IoV) based technique for connected vehicles to determine Safe Driving Distance and Speed.
  • To enable connected vehicles to avoid forward collisions by calculating and maintaining the Assured Clear Distance Ahead (ACDA).
  • To enhance road utilization by dynamically adjusting safe following distances based on real-time parameters.

Main Methods:

  • Developed an IoV-based technique to calculate Safe Driving Distance and Safe Driving Speed.
  • The method considers two scenarios: vehicles with and without Autonomous Emergency Braking (AEB).
  • Calculations incorporate variables like vehicle weight, tire condition, road type, and weather.

Main Results:

  • Safe Driving Distance and Speed are significantly influenced by vehicle parameters, road conditions (snowy, wet, icy asphalt), and weather (clear, foggy).
  • The proposed technique effectively calculates the ACDA, crucial for collision avoidance.
  • The system dynamically enforces minimum safe gaps, optimizing road capacity.

Conclusions:

  • The IoV-based technique provides an effective solution for connected vehicles to avoid tailgating and forward collisions.
  • Dynamic calculation of Safe Driving Distance and Speed based on multiple parameters enhances road safety.
  • This approach maximizes road utilization by intelligently managing vehicle separation.