Multi-source data fusion to assess the impact of roadworks on secondary travel demand

Since recent years, many roadwork projects and nearby events will affect the flow of visitors at Casino de Montreal, a model is needed to analyze the impact of these roadwork events and provide solutions to mitigate the effect. In this project, multisource data will be provided and applied into traffic flow prediction. The main objective of this project is to build a predictive model and then using the results of this model to perform analysis. After the analysis, the company could improve customer experience by proposing different options to access Casino de Montreal or offering personalized promotions and special events.

Faculty Supervisor:

Lijun Sun

Student:

Tianyu Shi;Zhenyuan Ma

Partner:

Loto-Québec

Discipline:

Engineering - civil

Sector:

Arts, entertainment and recreation

University:

McGill University