Smart & Sustainable Campus Transport

Reducing Wait Times, Enhancing Accessibility, and Improving Efficiency

GROUP 1
15.04.2025
SUBMITTED TO : DR. SHEENU JAIN

TEAM MEMBERS

NAME ROLL NO CONTRIBUTIONS

KARAN DHINGRA 23UCS607 Issue Resolution

ARIHANT BHURA 23UCS544 System blueprint

DHAIRYA CHHABRA 23UCS564 Extracted the key insights

from the survey feedback.

ANIKET PRATAP SINGH 23UCS533 Designing the Bus

Timetable.

AAHAN SHARMA 23UCS501 Survey Management

HATIM ALI 23UCS587 Problem Identification

ABHINANDAN SHAH 23UCS505 Designing the Bus

Timetable.

AKASH KUMAR 23UCS522 Participated in the decision

making process.
ABSTRACT

This project delivers a comprehensive and innovative approach to modernizing

campus transportation through digital tools and sustainable practices. By
developing a dedicated mobile application, the system facilitates real-time bus
seat booking, arrival tracking, and smart scheduling, especially during
high-demand periods such as holidays and weekends. Furthermore, an e-bicycle
system was introduced across the campus at strategic locations such as hostels
and lecture halls, offering students and staff an eco-friendly and time-efficient
transport alternative. The foundation of the project was built on detailed
research, including surveys with over 60 students, discussions with bus drivers.
These insights were instrumental in crafting a solution that improves
accessibility, efficiency, and user satisfaction.

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TABLE OF CONTENT

S.NO. TOPIC PAGE NO.

1. Planning & Problem Analysis 3-7

2. Digital Maintenance Request Tracking 8

3. Smart Bus Booking and Timings During Peak Usage 9 - 10

4. Smart E-Bicycle Booking and Availability 11

5. Implementation & Performance Monitoring 11 - 12

6. Technology Stack 12

7. Project Timeline & Future Scope 13

8. Conclusion 14

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1. PLANNING AND PROBLEM ANALYSIS

1.1 PROBLEM STATEMENT

The existing campus transport system faced challenges related to inefficient bus
scheduling, long wait times, lack of real-time updates, and limited intra-campus mobility
solutions. Students frequently experienced overcrowding and inconsistent shuttle
availability, especially during peak periods such as vacations and long weekends.
Moreover, there was no platform for users to reserve seats or receive timely
notifications, leading to uncertainty and dissatisfaction. In addition, the absence of a
sustainable, quick means of transport within campus made short-distance commuting
inconvenient. These issues highlighted the urgent need for a digitally enabled,
eco-friendly, and user-centric transport management system tailored to the dynamic
demands of the campus environment.

1.2 SURVEY ANALYSIS

On average, how many times do you use the campus bus service per week?

During which time periods do you typically travel outside the campus?

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What issues do you frequently face with the bus service?

How satisfied are you with the current campus bus service?

How would you rate the punctuality of the campus buses?

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How would you rate the comfort and cleanliness of the buses?

How reliable do you find the current transport system during peak hours?

Would you use an on-demand shuttle service (via app) during off-peak hours?

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Which features would you find most useful in a campus transport app?

How open are you to using eco-friendly alternatives like e-shuttles or bicycles ?

1.3 KEY INSIGHTS

1.​ Bus Usage: Most students use the campus bus 2–4 times a week.

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 2.​ Peak Travel Time: Evening and late-night hours are the busiest travel times.
3.​ Main Issues: Students often face overcrowding and long waits.
4.​ Satisfaction: Most rated the service as average and somewhat reliable.
5.​ On-Demand Service: Many are interested in app-based shuttle booking,
especially off-peak.
6.​ App Features Wanted: Students want real-time tracking, seat booking, and
safety info.
7.​ Eco-Friendly Options: Most are open to using e-bikes or electric shuttles.

1.4 PROPOSED SMART SOLUTION

1.​ App-Based Bus Seat Booking & Live Tracking​

A dedicated mobile app allows students to reserve bus seats in advance and
track shuttle arrival times in real-time, reducing overcrowding, missed buses,
and wait times—especially during peak hours.

2.​ Dynamic Shuttle Scheduling with Peak-Hour Adjustment​

Bus frequency is automatically adjusted based on usage patterns (e.g., more
buses in the evening or before holidays) using demand data collected through
the app and user behavior analytics.

3.​ On-Demand Shuttle Services During Off-Peak Hours​

Instead of running fixed schedules with low occupancy, students can book
on-demand rides via the app during non-peak hours, improving efficiency and
reducing operational costs.

4.​ E-Bicycle System for In-Campus Travel​

Smart e-bike stations are installed at key locations like hostels and lecture halls

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 to provide a quick, eco-friendly option for short distances, minimizing
dependency on buses for small trips.

5.​ Maintenance & Feedback Tracking via App​

The app includes features for reporting maintenance issues and collecting user
feedback, helping ensure smoother operations and constant improvement
through regular monitoring.

2. Digital Maintenance Request Tracking

2.1 Overview of Challenges

Before implementing the digital solution, maintenance issues with buses (e.g.,
breakdowns, uncleanliness, delays) were reported manually or inconsistently, leading to
slow response times, missed trips, and poor user satisfaction. A lack of real-time
tracking made it difficult for students and staff to know the operational status of the
vehicles.

2.2 Request Portal Design

A simple in-app request form was integrated into the transport application, allowing
users (drivers, students, and admins) to report issues like mechanical faults, cleanliness,
or delays. The form includes fields such as bus number, issue type, description,
location, and time, ensuring all necessary data is captured for timely action.

2.3 Real-Time Status Tracking and Seat Booking

Once a request is submitted, it is automatically assigned a real-time status tag visible in

both the admin dashboard and user app interface. This promotes transparency and
accountability. Alongside this, users can continue seat booking only for active and
healthy buses, reducing inconvenience and confusion.

2.4 Prioritization Criteria

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Requests are prioritized based on urgency and impact. For example, engine or brake
issues are marked as critical, cleanliness as medium, and minor interior damage as low.
This system ensures that safety-related problems are resolved first while maintaining
overall service quality.

2.5 Performance Analytics Dashboard

An admin dashboard displays analytics like the number of maintenance issues

reported, average resolution time, and recurring problems per bus. This helps in
resource planning, identifying problematic vehicles.

3. Smart Bus Booking and Timings During Peak Usage

To address overcrowding and long wait times during peak periods (e.g., semester
breaks and long weekends), a smart bus seat reservation and tracking system was
developed. It includes:

●​ Live tracking of shuttle locations

●​ Advance seat reservation to avoid overcapacity
●​ Dynamic scheduling based on demand forecasting
●​ Push notifications for time changes or delays
This system optimizes resource utilization and enhances commuter satisfaction.

This is a One Day bus time table for weekdays.

BUS NO. FROM TO TIME Response

1 LNMIIT Raja Park 6:00 AM Early Outbound

1 Raja Park LNMIIT 7:00 AM Inbound

2 LNMIIT Ajmeri Gate 7:00 AM Hours Commute

2 Ajmeri Gate LNMIIT 8:00 AM Return Trip

3 LNMIIT Raja Park 9:30 AM Peak Reduction

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 3 Raja Park LNMIIT 11:00 AM Midday Inbound
Post-lunch
1 LNMIIT Raja Park 1:30 PM Outbound

1 Raja Park LNMIIT 3:30 PM Afternoon Inbound

2 LNMIIT Ajmeri Gate 4:30 PM Evening City Drop

2 Ajmeri Gate LNMIIT 5:45 PM Return

3 LNMIIT Raja Park 6:00 PM Evening City Drop

1 Raja Park LNMIIT 7:15 PM Evening Return

Raja Park / Ajmeri Night Return (All
1, 2, 3 Gate LNMIIT 9:00 PM Buses)

This is a One Day bus time table for weekends .

BUS NO. FROM TO TIME

1 LNMIIT Raja Park 8:00 AM Morning Trip

1 Raja Park LNMIIT 9:00 AM Return
Morning Shopping
2 LNMIIT Raja Park 10:00 AM Trip

2 Raja Park LNMIIT 12:00 Noon Return

3 LNMIIT Raja Park 1:30 PM Afternoon Trip

3 Raja Park LNMIIT 3:00 PM Return

2 LNMIIT Raja Park 4:30 PM Evening Drop

2 Raja Park LNMIIT 5:30 PM Return

1 LNMIIT Raja Park 6:30 PM Evening Leisure

High-demand
2 LNMIIT Raja Park 7:15 PM Period

3 LNMIIT Raja Park 8:00 PM Night Drop

Final Return (All
1, 2, 3 Raja Park LNMIIT 9:00 PM buses)

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4. Smart E-Bicycle Booking and Availability
A network of e-bicycle stations was deployed across key locations within the campus
including:

●​ Hostel entrances
●​ Academic blocks
●​ Cafeterias and libraries

Key features:

●​ Real-time availability and QR-based booking via the app

●​ Usage statistics to manage redistribution
●​ Environmentally friendly, fast, and accessible for short-distance travel

This initiative promotes a sustainable lifestyle while reducing shuttle burden and
pedestrian congestion.

5. Implementation & Performance Monitoring

5.1 Key Performance Indicators (KPIs)

To evaluate the effectiveness of the smart transport system, the following KPIs were
defined:

●​ Average bus wait time before and after implementation

●​ User satisfaction scores collected via the app
●​ On-time shuttle performance during peak and non-peak hours
●​ Usage metrics for both buses and e-bicycles​
These indicators helped track measurable improvements in efficiency and service
quality.

5.2 Trial Runs and Feedback Collection

The system was deployed in phases, starting with limited trial runs of the bus booking

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and tracking features. During this phase:

●​ Students and drivers used the app in real-world conditions

●​ Regular feedback was collected through in-app surveys and focus group
discussions
●​ Issues related to usability, timing, and booking were identified early​
These insights were crucial for validating the system before full rollout.

5.3 Optimization and Refinement

Based on trial results, the system underwent several refinements:

●​ Bug fixes and interface improvements to simplify the user experience

●​ Schedule adjustments to better match actual usage patterns
●​ Improved prioritization logic in the maintenance and booking modules​
This iterative process ensured the final system was stable, user-friendly, and
ready for long-term deployment.

6. TECHNOLOGY STACK
●​ Frontend: Flutter (cross-platform mobile development)
●​ Backend: Node.js with Express
●​ Database: MongoDB (scalable and flexible schema)
●​ Real-Time Services: Firebase (notifications and tracking)
●​ Admin Dashboard: React.js + Chart.js (data visualization)
●​ Hosting: AWS Cloud (for scalability and reliability)

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6. PROJECT TIMELINE AND FUTURE SCOPE

Timeline:

●​ Week 1: Planning, survey, stakeholder discussions

●​ Week 2: Initial app development and data modeling
●​ Week 3: Integration of modules and route analysis
●​ Week 4: Testing, feedback, and rollout

Future Scope:

●​ Integration with student ID cards for seamless authentication

●​ Expansion to support ride-sharing or carpooling
●​ AI-driven predictive route suggestions
●​ IoT-based maintenance detection in bicycles and buses
●​ Partnerships with eco-friendly brands for sponsorships

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CONCLUSION

The Smart & Sustainable Campus Transport System project successfully redefines
mobility within the campus through smart digital integration, strategic planning, and
sustainability. By closely collaborating with users and stakeholders, including students,
bus drivers, and the administration, a truly responsive and efficient transport system
was built. The inclusion of an app-based bus booking system and the deployment of
e-bicycles transformed how the campus community navigates daily life, promoting
convenience, timeliness, and eco-consciousness. This scalable framework sets the
foundation for further innovations in campus mobility and digital management.

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