4 citations · 5 across the 17 of their papers we have counts for
17 papers
Energy-Optimal Thermal Management of Heat-Pump Battery Electric Vehicles
Prashant Lokur, Nikolce Murgovski
This paper presents an energy-optimal hybrid control framework for thermal management of heat-pump battery electric vehicles (BEVs). The controller coordinates the compressor, cool…
Interactive Trajectory Planning with Learning-based Distributionally Robust Model Predictive Control and Markov Systems
Erik Börve, Nikolce Murgovski, Morteza Haghir Chehreghani +1
We investigate interactive trajectory planning subject to uncertainty in the decisions of surrounding agents. To control the ego-agent, we aim to first learn the decision distribut…
Tight Collision Avoidance for Stochastic Optimal Control: with Applications in Learning-based, Interactive Motion Planning
Erik Börve, Nikolce Murgovski, Leo Laine
Trajectory planning in dense, interactive traffic scenarios presents significant challenges for autonomous vehicles, primarily due to the uncertainty of human driver behavior and t…
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty
Tong Zhao, Nikolce Murgovski, Baigen Cai +1
Coordinated control of connected and automated vehicles (CAVs) emerges as a promising technology to improve traffic safety, efficiency, and sustainability. Meanwhile, mixed traffic…
Efficient optimization-based trajectory planning
Jiayu Fan, Nikolce Murgovski, Jun Liang
This research addresses the increasing demand for advanced navigation systems capable of operating within confined surroundings. A significant challenge in this field is developing…
Integrated Charging Scheduling and Operational Control for an Electric Bus Network
Rémi Lacombe, Nikolce Murgovski, Sébastien Gros +1
The last few years have seen the massive deployment of electric buses in many existing transit networks. However, the planning and operation of an electric bus system differ from t…
Interaction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control
Erik Börve, Nikolce Murgovski, Leo Laine
In this paper we treat optimal trajectory planning for an autonomous vehicle (AV) operating in dense traffic, where vehicles closely interact with each other. To tackle this proble…
Efficient collision avoidance for autonomous vehicles in polygonal domains
Jiayu Fan, Nikolce Murgovski, Jun Liang
This research focuses on trajectory planning problems for autonomous vehicles utilizing numerical optimal control techniques. The study reformulates the constrained optimization pr…
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs
Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski +1
In this paper, we propose machine learning solutions to predict the time of future trips and the possible distance the vehicle will travel. For this prediction task, we develop and…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…
Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates
Ahad Hamednia, Jimmy Forsman, Nikolce Murgovski +2
This paper investigates battery preheating before fast charging, for a battery electric vehicle (BEV) driving in a cold climate. To prevent the battery from performance degradation…
Conflict-free Charging and Real-time Control for an Electric Bus Network
Rémi Lacombe, Nikolce Murgovski, Sébastien Gros +1
The rapid adoption of electric buses by transit agencies around the world is leading to new challenges in the planning and operation of bus networks. In particular, the limited dri…
Optimal Thermal Management and Charging of Battery Electric Vehicles over Long Trips
Ahad Hamednia, Victor Hanson, Jiaming Zhao +5
This paper studies optimal thermal management and charging of a battery electric vehicle driving over long distance trips. The focus is on the potential benefits of including a hea…
Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles
Ahad Hamednia, Nikolce Murgovski, Jonas Fredriksson +3
This paper addresses optimal battery thermal management (BTM), charging, and eco-driving of a battery electric vehicle (BEV) with the goal of improving its grid-to-meter energy eff…
A Unified Framework for Online Trip Destination Prediction
Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski +1
Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous driving and electric vehicles. Even though this problem could…
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles
Maryam Razi, Nikolce Murgovski, Tomas McKelvey +1
This paper presents an adaptive equivalent consumption minimization strategy (ECMS) and a linear quadratic tracking (LQT) method for optimal power-split control of combustion engin…
Computationally efficient algorithm for eco-driving over long look-ahead horizons
Ahad Hamednia, Nalin Kumar Sharma, Nikolce Murgovski +1
This paper presents a computationally efficient algorithm for eco-driving over long prediction horizons. The eco-driving problem is formulated as a bi-level program, where the bott…