• Module 4

      Sustainable Road Transport Management

      Programming/Technology/Environmental Protection

      Module Identity

      Title
      Sustainable Road Transport Management
      Subject Areas
      Computer Science Technology Physics Environmental Sciences Mathematics
      Format
      Hands-on experimentation with FOSSBot robotics, visual programming exercises, sensor measurements, data collection and analysis, group collaboration, interactive H5P activities
      Teacher Preparation Time
      60-90 minutes (includes FOSSBot setup, scene preparation in CoppeliaSim, and activity materials)
      Required Lesson Time
      90 minutes (2 x 45-minute teaching periods)
      Age Range
      13-15 years (Grades 7-9, Junior High School)
      Keywords
      FOSSBot, Ultrasonic Sensors, Speed Calculation, Distance Measurement, Time Recording, Energy Efficiency, Sustainable Transportation, Motor Power, Emissions Reduction, Automation, Robotics, Visual Programming, Data Analysis
      Summary

      This module integrates physics, programming, and environmental science through hands-on exploration of sustainable transportation concepts. Students use FOSSBot robots and ultrasonic sensors to investigate the fundamental relationships between speed, distance, and time while exploring their environmental implications. Through structured experiments, they measure distances using sensors, calculate robot speeds at different motor power settings, and analyze the relationship between speed and energy consumption. The module progresses from basic sensor familiarization to complex data collection and analysis, culminating in evidence-based discussions about sustainable transportation solutions. By connecting mathematical formulas with real-world applications, students develop both technical skills and environmental consciousness, understanding how technology choices impact energy efficiency and emissions.

      Introduction

      Transportation systems represent one of the most significant contributors to global energy consumption and environmental impact. This module bridges the gap between theoretical physics concepts and practical environmental challenges by engaging students in hands-on experiments with robotic vehicles. Using FOSSBot as a scaled model of real-world transportation, students explore how fundamental physics principles—speed, distance, time, and energy—directly relate to sustainability challenges in modern transportation systems.

      The module employs an inquiry-based learning approach where students become researchers, collecting data, making observations, and drawing conclusions about optimal transportation efficiency. Beginning with an interactive exploration of FOSSBot's components, students progress through increasingly complex experiments that mirror real-world transportation analysis. They use ultrasonic sensors to measure distances, implement timers to track travel duration, and manipulate motor power to observe speed variations. This experiential approach transforms abstract formulas like Speed=Distance/Time into tangible, observable phenomena.

      By connecting programming skills with scientific investigation, students develop a multifaceted understanding of how technology choices impact environmental outcomes. They learn that sustainable transportation isn't just about alternative fuels or electric vehicles—it's about understanding the fundamental relationships between speed, energy consumption, and efficiency. This knowledge empowers them to think critically about transportation choices and their environmental consequences, fostering a generation of environmentally conscious problem-solvers.

      Basic Knowledge

      • •Familiarity with visual programming environments (block-based programming)
      • •Understanding of iteration and selection structures (loops, if-else statements)
      • •Basic knowledge of measuring length and time
      • •Elementary understanding of variables and their use in programming
      • •Basic mathematical operations (multiplication, division, calculating averages)
      • •Ability to create, test, and debug simple programs
      • •Experience with collaborative problem-solving in groups

      Learning Outcomes

      By the end of this module, students will be able to:

      Technical Skills

      • ✓Handle the FOSSBot interface (login, project import and editing)
      • ✓Select and connect devices with sensors and robotic assemblies for control and data recording
      • ✓Program automation devices with logical structures (if, else, and)
      • ✓Identify and utilize ultrasonic sensor functions for distance measurement
      • ✓Record and interpret sensor values in real-world environmental conditions
      • ✓Use iterative control structures effectively in programming

      Scientific & Mathematical Understanding

      • ✓Define the concept of speed and explain its relationship to distance and time
      • ✓Calculate speed using the formula Speed=Distance/Time
      • ✓Measure distance and time traveled by FOSSBot using both conventional means and ultrasonic sensors
      • ✓Analyze how changing motor power affects robot speed
      • ✓Describe how different factors (motor power, surface type) affect speed and energy consumption
      • ✓Conduct scientific experiments, collect data, and draw evidence-based conclusions

      Environmental & Sustainability Awareness

      • ✓Link energy efficiency of robots with sustainable transportation and environmental impacts
      • ✓Compare energy consumption at different speeds and draw conclusions about efficiency
      • ✓Propose solutions for more sustainable transportation based on experimental conclusions
      • ✓Recognize the role of technology in saving energy and enhancing safety
      • ✓Explore the relationship between speed, energy consumption, and environmental impact

      21st Century Skills

      • ✓Collaborate effectively in teams, making decisions to design and optimize robot functions
      • ✓Cultivate problem-solving skills through programming and experimentation
      • ✓Apply creative and critical thinking through code modification and optimization
      • ✓Connect theory with practice through hands-on investigation

  • Section 1