Intelligent Transportation Systems Final Year Projects

Byadmin Final Year Projects

Intelligent Transportation Systems Final Year Projects for BE, BTech, ME, MSc and MTech final year engineering students. Moreover, these Intelligent Transportation Systems projects give practical experience and help complete final-year submissions. Additionally, all projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Intelligent Transportation Systems Final Year Projects

  1. A Novel Mechanism for Misbehavior Detection in Vehicular Networks
    This project focuses on making smart traffic systems safer. It studies networks where vehicles communicate with each other and identifies unusual behavior that could signal attacks. The system detects these threats, blocks harmful vehicles, and keeps a record of suspicious activity. Tests show it works accurately with very few mistakes.
  2. A Sensing Communication and Computing Approach for Vulnerable Road Users Safety
    This project focuses on making city roads safer for pedestrians and cyclists. It uses smart sensors in vehicles, on the road, and on devices like smartphones to detect possible accidents. The system predicts collisions early and warns both drivers and vulnerable road users. Tests show it works accurately and quickly, especially when using advanced networks like 5G and edge computing.
  3. An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs
    This project focuses on improving the security of vehicular networks, where vehicles communicate with each other for safety and traffic management. The researchers studied a type of cyberattack called Gray-Hole Attack, where malicious vehicles drop data packets. They proposed a new method to detect and prevent these attacks by monitoring unusual packet behavior. Simulations showed that their method improved data delivery, reduced delays, and performed better than existing approaches.
  4. Congestion Control in Autonomous Resource Selection of Cellular-V2X
    This project focuses on improving communication between vehicles in intelligent transportation systems. It addresses network congestion and communication problems when cellular coverage is absent. The researchers propose a method that controls vehicle transmission power and channel usage to reduce traffic on the network. Their solution improves performance and makes vehicle communication more reliable and flexible.
  5. Detecting and Preventing False Nodes and Messages in Vehicular Ad-Hoc Networking VANET
    This project focuses on making vehicle communication networks safer. It detects and prevents fake vehicles and false messages on the road network. The system checks each vehicle’s profile and only accepts messages that meet certain rules. Simulations show that the approach successfully identifies and blocks fake nodes and messages in real time.
  6. LCSS Based Sybil Attack Detection and Avoidance in Clustered Vehicular Networks
    This project focuses on making road networks safer for connected vehicles. It detects malicious vehicles, called Sybil nodes, that send fake messages and disrupt traffic systems. The method uses a cluster-based network and compares signal patterns to spot attackers. It improves detection speed, accuracy, and reduces false alarms compared to older approaches.
  7. Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks
    This project focuses on making vehicle networks smarter and safer. It uses a special network system called SDN to manage how vehicles connect and communicate with each other. The system improves security, protecting data from hackers, and uses machine learning to predict traffic changes and optimize network performance. Tests show it reduces delays and increases the reliability of messages between vehicles.
  8. Trust Management in Vehicular Ad-Hoc Networks Extensive Survey
    This project surveys how modern smart transportation systems use vehicles that communicate with each other to improve safety, traffic flow, and comfort. It focuses on Vehicular Ad hoc Networks (VANETs) and explores how technologies like cloud computing, AI, and blockchain make these networks more reliable and secure. The study reviews existing methods for managing trust and security in VANETs and highlights current challenges and future research directions.
  9. Using Neural Network and Levenberg-Marquardt Algorithm for Link Adaptation Strategy in Vehicular Ad Hoc Network
    This project focuses on improving communication in Vehicular Ad Hoc Networks (VANETs), which help reduce accidents by sharing road information between vehicles. It uses a neural network to adjust data transmission based on the quality of the communication channel and the movement of vehicles. The method considers changes in speed and direction to send messages more reliably. Simulations show that this approach is much faster and more efficient than existing methods.
  10. Multi-Exposure Fusion With Guidance Information Night Color Image Enhancement for Roadside Units
    This project improves traffic surveillance images taken at night. It combines camera and radar data to make moving vehicles and objects clearer. The method enhances colors and details while avoiding overexposure and ghosting. Overall, it produces high-quality images that are easier to analyze for traffic monitoring.
Interested in any of these final year projects?

To get more project ideas, documentation, source code & expert guidance..

Enquire Now

How We Help You with Intelligent Transportation Systems Projects

At Final Year Projects, we provide complete guidance for Intelligent Transportation Systems IEEE projects for BE, BTech, ME, MSc and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

Our team has over 10 years of experience guiding students in computer science, electronics, electrical and other engineering domains. In addition, we support students across India, including in Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. Moreover, international students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.

Intelligent Transportation Systems Project Synopsis & Presentation

Final Year Projects helps prepare Intelligent Transportation Systems project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. In addition, we provide PPT slides, tutorials, and full documentation for presentations. Consequently, students can present their work clearly and confidently.

Intelligent Transportation Systems Project Thesis Writing

Final Year Projects provides thesis writing services for Intelligent Transportation Systems projects. Moreover, we help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

All theses are checked with plagiarism check tools to guarantee originality and quality. Fast-track services are available for urgent submissions. Hundreds of students have successfully completed their projects and theses with our support.

Intelligent Transportation Systems Research Paper Support

We offer complete support for Intelligent Transportation Systems research papers. Services include writing, editing, and proofreading for journals and conferences.

We accept Word, RTF, and LaTeX formats. Additionally, every paper is reviewed to meet IEEE and publication standards, improving acceptance chances. Therefore, our guidance ensures that students produce high-quality, publication-ready research papers.

Reach out to Final Year Projects for expert guidance on Intelligent Transportation Systems projects. Get support for coding, reports, theses, and research publications. Contact us via email, phone, or website form and start your project with confidence.

Related Projects