2CEIT407: DESIGN THINKING PRACTICAL:- 05
Practical: - 5
Aim: - Being Ingenious & Fixing Problem: Understanding Creative thinking
process, Understanding Problem Solving, Testing Creative Problem Solving.
Steps
1. Understanding the Creative Thinking Process
2. Understanding Problem Solving
3. Testing Creative Problem-Solving
1. Understanding the Creative Thinking Process.
Creative thinking is not just about having "aha!" moments; it's a
structured approach to generating novel and valuable ideas. Here's a deeper
look:
● Divergent Thinking:
○ This is the process of generating a wide range of potential
solutions or ideas.
○ Techniques include brainstorming, mind mapping, and using
random stimuli.
○ The goal is quantity over quality at this stage.
● Convergent Thinking:
○ This involves evaluating and refining the generated ideas, selecting
the most promising ones.
○ It requires critical thinking, analysis, and judgment.
○ Focus is on quality and feasibility.
● The Creative Process (Often Described in Stages):
○ Preparation: Gathering information, defining the problem, and
exploring existing solutions.
○ Incubation: Letting the problem "sit" in the subconscious, allowing
for connections to form.
○ Illumination: The "aha!" moment, where a solution or insight
emerges.
○ Verification: Testing and refining the solution to ensure its
effectiveness.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -1
2CEIT407: DESIGN THINKING PRACTICAL:- 05
● Key Aspects of Creative Thinking:
○ Flexibility: Adapting to new situations and changing perspectives.
○ Originality: Generating unique and novel ideas.
○ Fluency: Producing a large number of ideas.
○ Elaboration: Developing ideas in detail.
○ Redefining problems: viewing an issue from multiple angles.
2. Understanding Problem Solving
Problem-solving is the process of identifying and resolving issues that
hinder progress or create undesirable outcomes. A systematic approach is
crucial.
● Problem Definition:
○ Clearly and accurately defining the problem is the most critical
step.
○ Use techniques like "5 Whys" of root cause analysis to get to the
core of the issue.
○ Clearly define the problem's constraints.
● Information Gathering:
○ Collect relevant data and information to understand the problem's
context.
○ This may involve research, interviews, or observations.
● Generating Potential Solutions:
○ Apply creative thinking techniques to develop a range of possible
solutions.
○ Encourage diverse perspectives and avoid premature judgment.
● Evaluating and Selecting Solutions:
○ Assess each potential solution based on criteria such as feasibility,
effectiveness, and cost.
○ Use decision-making tools like a pros-and-cons analysis or a
decision matrix.
● Implementation:
○ Develop a plan for implementing the chosen solution.
○ Assign responsibilities and establish timelines.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -2
2CEIT407: DESIGN THINKING PRACTICAL:- 05
● Monitoring and Evaluation:
○ Track the progress of the solution and evaluate its effectiveness.
○ Make adjustments as needed.
3. Testing Creative Problem-Solving
Testing is essential to validate the effectiveness of creative solutions. This
involves a structured approach to ensure the solution is robust and reliable.
● Prototyping:
○ Create a simplified version of the solution to test its functionality.
○ This allows for early identification of potential issues.
● Experimentation:
○ Conduct controlled experiments to gather data on the solution's
performance.
○ This may involve A/B testing or other experimental designs.
● Feedback and Iteration:
○ Gather feedback from users or stakeholders to identify areas for
improvement.
○ Iterate on the solution based on the feedback received.
● Validation:
○ Verify that the solution meets the defined criteria and solves the
problem effectively.
○ This may involve statistical analysis or other forms of data
evaluation.
● Failure Analysis:
○ If a solution fails, analyze why it failed. This analysis will provide
key information for future problem solving.
● Metrics:
○ Establish clear metrics to measure the success of the implemented
solution.
○ This allows for objective evaluation and tracking of progress.
Bringing It All Together
Being ingenious involves seamlessly integrating these three steps. It's about:
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -3
2CEIT407: DESIGN THINKING PRACTICAL:- 05
● Cultivating a mindset that embraces creativity and innovation.
● Adopting a structured approach to problem-solving.
● Rigorous testing and validation to ensure that solutions are effective.
By mastering these steps, you can enhance your ability to generate novel ideas, solve
complex problems, and drive positive change.
Scenario 1: Smart Traffic Management System
Introduction and Problem Definition
Title:
Revolutionizing Urban Mobility: A Smart Traffic Management System
Introduction:
Urbanization has led to a surge in vehicular traffic, resulting in severe
congestion, increased commute times, fuel wastage, and heightened pollution
levels. Traditional traffic management systems, often reliant on static signal
timings and limited real-time data, are proving inadequate to address these
challenges.
Problem Statement:
The core problem is the inefficient flow of vehicular traffic in urban areas,
leading to significant economic and environmental costs. This is manifested in:
● Prolonged commute times and increased stress for commuters.
● Elevated fuel consumption and greenhouse gas emissions.
● Reduced productivity and economic losses due to traffic delays.
● Increased risk of accidents due to congestion and driver frustration.
Objective:
To design and implement a smart traffic management system that
leverages cutting-edge technologies to optimize traffic flow, reduce congestion,
and enhance overall urban mobility
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -4
2CEIT407: DESIGN THINKING PRACTICAL:- 05
Step:- 1
Understanding the Creative Thinking Process - Preparation & Divergent
Thinking
● Preparation:
○ Comprehensive analysis of existing traffic patterns, including peak
hours, bottlenecks, and accident hotspots.
○ Review of current traffic management systems and their
limitations.
○ Study of emerging technologies in traffic management, such as AI,
IoT, and big data analytics.
● Divergent Thinking (Brainstorming):
○ AI-Driven Signal Timing: Employing machine learning algorithms
to dynamically adjust signal timings based on real-time traffic
data.
○ Vehicle-to-Infrastructure (V2I) Communication: Enabling
seamless communication between vehicles and traffic
infrastructure for real-time information exchange.
○ Dynamic Lane Management: Utilizing sensors and automated
systems to adjust lane configurations based on traffic flow.
○ Predictive Traffic Modeling: Developing models to forecast traffic
patterns and proactively adjust traffic management strategies.
○ Mobile Application Integration: Creating a user-friendly mobile
app for real-time traffic updates, route optimization, and
personalized navigation.
○ Sensor Networks: Deploying a network of sensors to collect
real-time data on traffic flow, vehicle speed, and weather
conditions.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -5
2CEIT407: DESIGN THINKING PRACTICAL:- 05
○ Edge Computing: Processing data closer to the source to reduce
latency and enable faster decision-making.
Understanding the Creative Thinking Process - Divergent & Convergent
Thinking
● Mind Mapping: Creating a visual representation of the brainstormed
ideas and their interrelationships.
○ Central Node: Smart Traffic Management System.
○ Branches: AI, IoT, Mobile App, Sensors, Data Analytics.
● Convergent Thinking (Idea Evaluation):
○ Feasibility Analysis: Assessing the technical and economic
feasibility of each brainstormed idea.
○ Impact Assessment: Evaluating the potential impact of each idea
on traffic flow, congestion, and environmental sustainability.
○ Prioritization: Selecting the most promising ideas based on
feasibility, impact, and alignment with the project objectives.
○ Selected Ideas: AI-Driven Signal Timing, Mobile Application
Integration, Sensor Networks.
Understanding Problem Solving - Information Gathering & Potential
Solutions
● Information Gathering:
○ Traffic Flow Data: Collecting data from existing traffic sensors,
CCTV cameras, and GPS data.
○ Signal Timing Data: Analyzing current signal timings and their
effectiveness.
○ Accident Data: Identifying accident hotspots and analyzing the
contributing factors.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -6
2CEIT407: DESIGN THINKING PRACTICAL:- 05
○ Driver Behavior Data: Studying driver behavior patterns and
preferences.
○ Existing System Analysis: Reviewing the strengths and
weaknesses of existing traffic management systems.
○ User Surveys: Conducting surveys to gather feedback from
commuters and residents.
● Generating Potential Solutions:
○ AI-Driven Adaptive Signal Control: Develop machine learning
algorithms to analyze real-time traffic data and dynamically adjust
signal timings.
○ Mobile Application for Route Optimization: Create a mobile
application that provides real-time traffic updates, optimized
routes, and personalized navigation.
○ Sensor Network for Real-Time Data Collection: Deploy a network
of sensors to collect data on traffic flow, vehicle speed, and
weather conditions.
Understanding Problem Solving - Evaluating Solutions & Implementation
● Evaluating and Selecting Solutions:
○ Cost-Benefit Analysis: Evaluating the costs and benefits of each
potential solution.
○ Technical Feasibility Assessment: Assessing the technical
feasibility of implementing each solution.
○ Impact Analysis: Evaluating the potential impact of each solution
on traffic flow, congestion, and environmental sustainability.
○ Selected Solutions for Implementation: AI-Driven Adaptive Signal
Control & Mobile Application for Route Optimization.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -7
2CEIT407: DESIGN THINKING PRACTICAL:- 05
● Implementation Plan:
○ Phase 1: Deploy sensors and install AI-controlled traffic signals in
a pilot area.
○ Phase 2: Develop and launch the mobile application.
○ Phase 3: Expand the system to cover the entire urban area.
○ Resource Allocation: Assign a team of traffic engineers, software
developers, and data analysts.
○ Timeline: Establish a realistic timeline for each phase of the
project.
Step: - 2
Understanding Problem Solving - Evaluating Solutions & Implementation
● Evaluating and Selecting Solutions:
○ Cost-Benefit Analysis: Evaluating the costs and benefits of each
potential solution.
○ Technical Feasibility Assessment: Assessing the technical
feasibility of implementing each solution.
○ Impact Analysis: Evaluating the potential impact of each solution
on traffic flow, congestion, and environmental sustainability.
○ Selected Solutions for Implementation: AI-Driven Adaptive Signal
Control & Mobile Application for Route Optimization.
● Implementation Plan:
○ Phase 1: Deploy sensors and install AI-controlled traffic signals in
a pilot area.
○ Phase 2: Develop and launch the mobile application.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -8
2CEIT407: DESIGN THINKING PRACTICAL:- 05
○ Phase 3: Expand the system to cover the entire urban area.
○ Resource Allocation: Assign a team of traffic engineers, software
developers, and data analysts.
○ Timeline: Establish a realistic timeline for each phase of the
project.
○
Understanding Problem Solving - Monitoring & Evaluation
● Monitoring and Evaluation:
○ Key Performance Indicators (KPIs):
■ Average travel time.
■ Traffic flow rate.
■ Congestion levels.
■ Fuel consumption.
■ Air pollution levels.
■ User satisfaction ratings.
○ Data Collection Methods:
■ Traffic sensors.
■ CCTV cameras.
■ GPS data.
■ Mobile application analytics.
■ User surveys.
○ Feedback Mechanisms:
■ Regular reports and dashboards.
■ User feedback forms.
■ Focus group discussions.
■ Traffic management personnel feedback.
Step: - 3
Testing Creative Problem-Solving - Prototyping & Experimentation
● Prototyping:
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -9
2CEIT407: DESIGN THINKING PRACTICAL:- 05
○ Virtual Simulation: Develop a virtual simulation of the AI-driven
signal control system and mobile application using real-world
traffic data.
○ Pilot Area Testing: Implement the system in a limited area of the
city to evaluate its performance in a real-world setting.
● Experimentation:
○ A/B Testing: Compare the traffic flow and congestion levels before
and after implementing the system in the pilot area.
○ Controlled Experiments: Conduct controlled experiments to
evaluate the effectiveness of different AI algorithms and mobile
application features.
○ Data Analysis: Analyze the data collected from the pilot area
testing and controlled experiments to assess the system's
performance.
Testing Creative Problem-Solving - Feedback, Iteration & Validation
● Feedback and Iteration:
○ Gather User Feedback: Collect feedback from drivers, commuters,
and traffic management personnel on the system's performance.
○ Analyze Data: Analyze the data collected from the pilot area
testing and controlled experiments.
○ Iterate and Refine: Refine the AI algorithms and mobile
application features based on the feedback and data analysis.
● Validation:
○ Performance Evaluation: Evaluate the system's performance
against the defined KPIs.
○ Statistical Analysis: Use statistical analysis to determine the
significance of the improvements achieved.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -10
2CEIT407: DESIGN THINKING PRACTICAL:- 05
○ Cost-Benefit Analysis: Conduct a final cost-benefit analysis to
assess the overall value of the system.
○ Final Report: Prepare a comprehensive report summarizing the
project's findings, recommendations, and lessons learned.
Conclusion: -
In conclusion, the development and implementation of a Smart
Traffic Management System offer a promising solution to the escalating
challenges of urban traffic congestion. By systematically applying the
creative problem-solving framework, we have transitioned from
identifying the core problem of inefficient traffic flow to designing,
testing, and validating an intelligent system.
This approach, encompassing creative thinking, structured
problem-solving, and rigorous testing, has enabled us to leverage
cutting-edge technologies like AI, IoT, and data analytics to create a
dynamic and responsive traffic management system. The phased
implementation, coupled with continuous monitoring and evaluation,
ensures that the system adapts to the evolving needs of the urban
environment.
The successful deployment of such a system not only promises to
significantly reduce commute times and fuel consumption but also
contributes to a cleaner and more sustainable urban environment. By
prioritizing user feedback and iterative improvements, we can ensure
that the system remains effective and user-friendly. Ultimately, the Smart
Traffic Management System exemplifies how innovative solutions,
grounded in a systematic problem-solving approach, can transform
urban mobility and enhance the quality of life for city residents.
Enrollment_no: - 24172012027_MEHUL_KHATRI Page_no: -11
