Venetians’ quality of life is being affected through street congestion and safety risks introduced by increasing tourism. The team digitally modeled the streets of Venice and conducted manual and automatic pedestrian counts to learn about chokepoints and pedestrian flow across the city. The team concluded that manual counting was inefficient and inadequate leading the team to explore automatic counting through cameras. These systems were evaluated for reliability and continuous data collection to be used in a predictive pedestrian model.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Flaxington, Taylor Frances
• Sturman, Daniel Alexander
• Pepin, Aaron John
• Mehilli, Rigen

Subject

• Infrastructure
• Environment
• Well-Being
• Computing
• Sustainability

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-121815-101353

Keyword

• Computer simulation
• City planning
• Tourism

Advisor

• Carrera, Fabio
• Higgins, Lorraine D.

Year

• 2015

Center

• Venice, Italy Project Center - IQP

Date created

• 2015-12-18

Location

• Venice

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright