Mobility in Venice: Alleviating Congestion and Improving Navigation

Venice’s lifestyle is disturbed by the congestion of tourists crowding the streets. The team digitally modeled the streets of Venice and conducted manual and automatic pedestrian counts to learn about choke points and pedestrian flow over bridges across the city. The team concluded that the limited data collected from manual counting was not adequate, leading to the exploration of automatic counting through cameras. These systems were evaluated for reliability and continuous data collection to be used in a predictive pedestrian model.


Assist with the management of growing tourist crowds by automating the collection of data, predicting pedestrian movement year-round and facilitating navigation of tourists through a mobile application.

This mission statement is further broken down into more concrete objectives, which the team completed while in Venice.

Objective 1: Explore the use of Automatic Pedestrian Counting Methods

Objective 2: Develop Framework and Tools for a Predictive Pedestrian Model

Objective 3: Design a Mobile Application to Facilitate Navigation

For a better example of the model and application, check out the Deliverables page. Through our efforts, we hope to contribute towards improving mobility efficiency in the city.

Blog Updates

  • Completion of Final Presentation! Last night we were able to complete our final presentation in front of an audience of different city officials and other potential collaborators who could be interested in continuing work ...
    Posted Dec 15, 2015, 6:10 AM by Venice Streets
  • Predictive Modeling One aspect of pedestrian flow analysis which we have learned more about recently is the importance of creating a computer model which accurately represents the movement of people throughout the ...
    Posted Dec 12, 2015, 12:24 PM by Venice Streets
  • Access to City Cameras This term we have been testing the possibility of using cameras to count people automatically. We have come to the realization that only 3 out of 9 cameras are accurate ...
    Posted Dec 16, 2015, 10:15 AM by Venice Streets
  • Final Three Weeks After nearly a week off the team is anxious to begin working again. Our plans for the coming week include finishing up all field work, making sure all manual counts ...
    Posted Dec 16, 2015, 10:29 AM by Venice Streets
  • Validation of Data Received from Cameras and Placemeter In order to validate the data that the team is receiving from Placemeter's algorithm, the group has been manually counting pedestrians at each of the measurement points. This procedure ...
    Posted Dec 16, 2015, 10:23 AM by Venice Streets
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