UROP Research Mentor Project Submission Portal: Submission #961
Submission information
Submission Number: 961
Submission ID: 15431
Submission UUID: d48b7e92-9241-44a3-b0aa-3ff0a3cc971c
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=0Yg-rd-i-OB5cLmn2HwETyh92mRmgRfiMP4TECDPgAw
Created: Sat, 08/24/2024 - 11:00 AM
Completed: Sat, 08/24/2024 - 11:00 AM
Changed: Fri, 09/13/2024 - 02:46 PM
Remote IP address: 71.229.9.61
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Fengjiao Liu
She/her
{Empty}
Faculty
FAMU-FSU College of Engineering
Electrical and Computer Engineering
{Empty}
Additional Research Mentor(s)
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
Overall Project Details
Dynamic Traffic Light Scheduling for Intelligent Transportation
intelligent transportation, smart traffic light, Internet of Things
No
1
Computer Science, Electrical & Computer Engineering, Mechanical Engineering, Industrial & Manufacturing Engineering, Civil Engineering, Mathematics
Engineering campus or work remotely
There should be shuttle service between FSU main campus and Engineering campus.
Partially Remote
6
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
With the rapid development of self-driving cars and the Internet of Things, the cars at each intersection (within a certain range) will be able to communicate with each other and with the smart traffic light. Thus, the smart traffic light should be able to schedule the traffic signals dynamically based on the real-time traffic at each intersection. Such a dynamically scheduled traffic light may be locally optimal at each intersection. It would be interesting to find out how the performance of the entire transportation system is, which includes a large number of roads and traffic lights, and to compare the performance with traditional traffic lights with fixed scheduling or other traffic light scheduling proposed in the literature.
literature review, data collection, mathematical modeling, model analysis, simulation (coding and programming), presentation, etc.
Required: good math and programming background
Students and advisor can have short weekly or biweekly meetings to discuss the progress and challenges of the project. Students are expected to work independently and plan their timelines based on their progress.
{Empty}
{Empty}
No
{Empty}
UROP Program Elements
Yes
Yes
Yes
Yes
{Empty}
2024
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=0Yg-rd-i-OB5cLmn2HwETyh92mRmgRfiMP4TECDPgAw