Sina Torabi

Doctoral Student at Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

I am a PhD student at Adaptive systems group. I am currently working on developing efficient and robust algorithms for longitudinal control of heavy-duty vehicles travelling in a linear formation. I aim to integrate classical control methods to carry out low-level control with algorithms adopted from robotics and artificial intelligence to determine the optimal high-level control.

Source: chalmers.se

Showing 6 publications

2019

A method for performance analysis of a genetic algorithm applied to the problem of fuel consumption minimization for heavy-duty vehicles

Sina Torabi, Mattias Wahde
Applied Soft Computing Journal. Vol. 80, p. 735-741
Journal article
2019

A method for real-time dynamic fleet mission planning for autonomous mining

Mattias Wahde, Mauro Bellone, Sina Torabi
Autonomous Agents and Multi-Agent Systems. Vol. 33 (5), p. 564-590
Journal article
2018

Fuel-Efficient Driving Strategies for Heavy-Duty Vehicles: A Platooning Approach Based on Speed Profile Optimization

Sina Torabi, Mattias Wahde
Journal of Advanced Transportation. Vol. 2018
Journal article
2017

Fuel consumption optimization of heavy-duty vehicles using genetic algorithms

Sina Torabi, Mattias Wahde
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, p. 29-36
Paper in proceedings
2015

Truck Platooning Based on Lead Vehicle Speed Profile Optimization and Artificial Physics

Luca Caltagirone, Sina Torabi, Mattias Wahde
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2015. Vol. 2015 October, p. 394-399
Paper in proceedings

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