Search Results for author: Jonas Mårtensson

Found 12 papers, 0 papers with code

Approximate Dynamic Programming for Platoon Coordination under Hours-of-Service Regulations

no code implementations19 Aug 2022 Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson

In our problem, trucks have fixed routes in a transportation network and can wait at hubs along their routes to form platoons with others while fulfilling the driving and rest time constraints.

Decision Making

Multi-criteria Decision-making of Intelligent Vehicles under Fault Condition Enhancing Public-private Partnership

no code implementations27 May 2022 Xin Tao, Mladen Čičić, Jonas Mårtensson

With the proposed method, alternate decisions can be derived to reduce the risks of public time loss significantly with a low increase in the risk of mission delay.

Decision Making

A Pricing Rule for Third-Party Platoon Coordination Service Provider

no code implementations21 Feb 2022 Ting Bai, Alexander Johansson, ShaoYuan Li, Jonas Mårtensson

To evaluate the effect of the pricing on the platooning system, we perform a simulation over the Swedish road network.

Event-Triggered Distributed Model Predictive Control for Platoon Coordination at Hubs in a Transport System

no code implementations18 Feb 2022 Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson

This paper considers the problem of hub-based platoon coordination for a large-scale transport system, where trucks have individual utility functions to optimize.

Truck Platoon Formation at Hubs: An Optimal Release Time Rule

no code implementations18 Feb 2022 Alexander Johansson, Valerio Turri, Ehsan Nekouei, Karl H. Johansson, Jonas Mårtensson

The vehicles wait at the hub, and a platoon coordinator, at each time-step, decides whether to release the vehicles from the hub in the form of a platoon or wait for more vehicles to arrive.

Real-Time Cross-Fleet Pareto-Improving Truck Platoon Coordination

no code implementations17 Feb 2022 Alexander Johansson, Jonas Mårtensson, Xiaotong Sun, Yafeng Yin

The profit of each fleet incorporates platooning rewards and costs for waiting at hubs.

Game Theoretic Models for Profit-Sharing in Multi-fleet Platoons

no code implementations17 Feb 2022 Alexander Johansson, Jonas Mårtensson

Profit-sharing is needed within platoons in order for competing transportation companies to collaborate in forming platoons.

Multi-Fleet Platoon Matching: A Game-Theoretic Approach

no code implementations17 Feb 2022 Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson

At a Nash equilibrium, vehicles with the same departure time are matched to form a platoon.

Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk

no code implementations28 May 2021 Xin Tao, Jonas Mårtensson, Håkan Warnquist, Anna Pernestål

We also present a maintenance planning model using a risk-based decision-making method, which identifies the maintenance decision with minimal economic risk of the truck company.

Autonomous Driving Decision Making +1

Strategic Hub-Based Platoon Coordination under Uncertain Travel Times

no code implementations1 Apr 2021 Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson

We show that the platoon coordination game is a potential game when the travel times are either deterministic or stochastic, and the vehicles decide on their waiting times at the beginning of their journeys.

Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

no code implementations2 Mar 2021 Vandana Narri, Amr Alanwar, Jonas Mårtensson, Christoffer Norén, Laura Dal Col, Karl Henrik Johansson

Depending on the ego-vehicle's ability to fuse information from sensors in other vehicles or in the infrastructure, shared situational awareness is developed using a set-based estimation technique that provides robust guarantees for the location of the pedestrian.

Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence

no code implementations L4DC 2020 Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson

The operator is known to be well-posed for problems with finite states, but our analysis shows that it is also well-defined for the contractive models with infinite states studied.

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