A l’INSA Lyon, Lucas Magnana souhaite inciter les citoyens à utiliser davantage le vélo en ville grâce à l’intelligence artificielle. Une thèse encadrée par Hervé Rivano et Nicolas Chiabaut, expert en sciences de la mobilité chez Citec.
Biking is gaining in popularity all around the world as a healthy and environmentally friendly mode of transportation. Urban policies tend to encourage citizens to use bicycles.
Many shared mobility solutions have been developed over recent decades. In the case of mobile technological innovations, new solutions that are more flexible to user demands have emerged.
In this paper, a new practice-ready method for the real-time estimation of traffic conditions and travel times on highways is introduced. First, after a principal component analysis, observation days of a historical dataset are clustered. Two different methods are compared: a Gaussian Mixture Model and a k-means algorithm.
Recent empirical studies have found that travellers route choices deviate from perfect rationality, showing that urban trips do not necessary follow the shortest-time routes. However, there is no consent on how much the travellers’ route choice behaviour deviates from the perfect rational assumption.