Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 22 | V2V Based Network Cooperative Control System |
Jiazhen Xu Xinwen Zhu Yuxuan Jiang Zihao Li |
Xuyang Bai | design_document1.pdf final_paper1.pdf proposal1.pdf |
Simon Hu |
| ## Team Members - Xinwen Zhu: xinwenz3 - Jiazhen Xu: jiazhen6 - Yuxuan Jiang: yuxuanj9 - Zihao Li: zihaoli5 ## Problem Nowadays, autonomous vehicles are being applied in more and more scenarios. Thr current systems rely on the vehicles themselves and a cloud server. While using the computational power of the cloud server, the vehicles remain their own ability of quick deciding through sensors under emergencies. However, such vehicle-cloud systems have certain limitations. Recently, some scholars became interested in V2V(vehicle to vehicle) communication. Compared to the vehicle-server solution, V2V technologies - allows for real-time communication between vehicles, allowing for faster decision-making and response times. - allows for more localized processing of data, reducing the amount of data that needs to be transmitted to the cloud. is more secure than sending all car data to the cloud. - is more reliable than relying on the cloud for all processing. Cloud-based systems are prone to downtime and network failures, which can lead to a loss of service. - is more scalable than relying on cloud-based processing. Classical vehicle-server systems are naturally have shortcomings when making urgent mixed traffic decisions, because the communication time and server processing time might be too long and the information of a single vehicle is limited. ## Solution Overview In this senior design project, we want to solve this problem by designing a novel system consisting of vehicle sensing, vehicle-server communication and vehicle-vehicle communication. ## Solution Components ### **Subsystem #1** The communication system (5G) between vehicles and a powerful server. Since equipping each vehicle with strong processor is expensive and too energy consuming, uploading the data collected by the vehicle to the server and sending the commands back will be more efficient. V2V communication is not a replacement of V2S(vehicle to server), but an improvement. V2S is still important in our system. ### **Subsystem #2** The controlling system on the vehicle that can be run on simple on-board chip. This on-vehicle system mainly controls the movement of vehicle and decode the commands from the server. The vehicle also needs to check its battery level and be able to return to charging site when detecting low battery level. ### **Subsystem #3** Simple AI logic for the vehicle to drive by itself when it’s disconnected from the ITS server. The vehicle should be equipped with a GPS chip and at least find a way back to the nearest charging site by itself. ## Criterion for Success - efficient communication protocol between vehicles. - getting the relative position of another vehicle and using the information to avoid obstacle. - design efficient routing and obstacle avoiding algorithm for on-vehicle chip set. (in case cloud server is down) ## Distribution of Work - Xinwen Zhu: Design the mechanism of the vehicle, and install required sensors to the vehicle. Mainly responsible for writing the report. - Yuxuan Jiang: Design or refine a V2V communication protocol, which should make vehicles communicate in low latency and high privacy. - Zihao Li: Design an AI routing algorithm to enable the automatic drive of the vehicles given the information from V2V, V2S comunication, and its own sensor. The vehicle should make a rational decision on avoiding obstacles and coordinating with other cars to alleviate traffic congestion. - Jiazhen Xu: Implement a embedded Real-Time Operating System with following functionalities: 1) Synchronize information form the sensor, other vehicles, and the server. 2) Sending information to other vehicles and the server at set intervals. 3) Run a routing algorithm to navigate the vehicle 4) Control the mechanisms of the vehicle to veer, accelerate, and so forth. |
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