no code implementations • 1 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.
no code implementations • 17 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.
no code implementations • 17 Feb 2022 • Alexander Johansson, Jonas Mårtensson, Xiaotong Sun, Yafeng Yin
The profit of each fleet incorporates platooning rewards and costs for waiting at hubs.
no code implementations • 17 Feb 2022 • Alexander Johansson, Jonas Mårtensson
Profit-sharing is needed within platoons in order for competing transportation companies to collaborate in forming platoons.
no code implementations • 18 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.
no code implementations • 18 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.
no code implementations • 21 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.
no code implementations • 19 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.
no code implementations • 21 Jul 2023 • Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson
This paper presents a distributed framework for addressing multi-fleet platoon coordination in large transportation networks, where each truck has a fixed route and aims to maximize its own fleet's platooning profit by scheduling its waiting times at hubs.
no code implementations • 15 Aug 2023 • Alexander Johansson, Johan Markdahl
For SwarmBug2, we show that the algorithm underperforms in terms of worst-case travel time compared to SwarmBug1.
no code implementations • 11 Nov 2023 • Alexander Johansson, Ehsan Nekouei, Xiaotong Sun, Karl Henrik Johansson, Jonas Mårtensson
We first show that the optimal release policy in the decentralized case, where the hubs do not exchange information, is to release all trucks at the hub when the number of trucks exceeds a threshold computed by dynamic programming.