ESR14 – Computational AV/Cyclist Interaction Models

who am i?

I am Ali Mohammadi. I come from Iran. my professional interests are behavioral modeling, traffic safety, connected and autonomous vehicles and traffic simulation.


my host university is the Chalmers University of Technology in Sweden. I work at the vehicle safety division at the department of mechanics and maritime sciences.

supervisor: Professor Marco Dozza,

co-supervisor: Professor Gustav Markkula,


I hold bachelor degree in civil engineering from the University of Bojnord and a masters degree in highway and transportation engineering from Amirkabir University of Technology, Iran (Tehran Polytechnic). in my master’s project I worked on developing lane-changing models based on the local behaviour of drivers.


The overall goal of the project is to observe the mechanism of interaction between cyclists and vehicles at the intersection. In this regards, with the help of data in hand, we want to propose computational interaction models to predict the behavior of cyclists when they are interacting with vehicles. Cyclists follow certain states when they are approaching an intersection at the same time as a vehicle. And our goal in to predict these states by our models. bicycle simulation dataset along within-site datasets will be used to determine the procedure of interaction between these two parties. Cyclists use visual cues to communicate their intent in the interaction, so knowing and understanding these visual cues would be useful for automated vehicles to predict the next state of the cyclists. as a result, automated vehicles can react safely when they are encountering cyclists.


Cyclists along with pedestrians are vulnerable road users that have less protection compare to motorized vehicles in traffic flow. And the crash reports have been saying that frequent accidents with cyclists are happening at the intersections where the two paths cross each other. It is off important to mitigate these kinds of crashes and reduce the fatalities and injuries either by advanced driving systems or proposing recommendations for the geometry design of intersections. And, on the other hand, we are living in the era of developing automated vehicles, the vehicles that should decide on their own how to react and respond in the presence of other road users and in particular cyclists. in this project, we aim at developing behavioural models for cyclists to be used in automated vehicles so that automated vehicles could predict the behavior of the cyclists at intersections. In this way, we mitigate the risk of collision and provide a safe and reliable framework for the movement of vulnerable road users.


we aim at using the results of this study for the safety assessment of automated vehicles. with a better understanding of the interaction mechanism between these two agents we can achieve higher accuracy in predicting human behavior and consequently providing safe underlying systems for their movement.


Hyperlinks to others.


References to publications with links, as they need to be open access.