Drones for crowd and traffic surveillance

Project Description:

Piccoli’s lab developed research in modeling crowd movements (pedestrians) as well as vehicular traffic, using control theory, ordinary and partial differential equations. The new frontier is to pair these models with data possibly coming from drones. The research is performed in collaborations with various partners, including Rutgers-New Brunswick and UC Berkeley. The research is at the beginning phase, thus students will mainly learn about the subject and help with literature review, organize meetings, and other activities. Various projects are in the submission phase, thus funding may be later available.

Requirements

GPA 3.0 Courses: Calc sequence. Optional: linear algebra, differential equations

Keywords/Areas of Study 

mathematical modeling, crowd dynamics, vehicular traffic

Hourly Time Commitment (per week)

no fewer than 5h week, no more than 10h week

Length of Commitment

2 semesters

Start Date

Ongoing

Modality

Online

Type of Opportunity

Volunteer (e.g., research assistant)

Contact Faculty Lead

Benedetto Piccoli
Department of Mathenmatics
Contact: piccoli@camden.rutgers.edu 

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