An Agent-based Simulation Model for Truck Platoon Matching

Gerrits, Berry

doi:10.1016/j.procs.2019.04.101

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…Today, the industry views platooning as a stepping-stone to autonomous or self-driving trucks because carriers can eliminate back-up drivers in following vehicles (Haas & Friedrich, 20 2018). The formation of platoons during the early phases of adoption will rely on a service provider to match partners, synchronize departures, and schedule rendezvous (Gerrits, 2019). As adoption increases, trucks will use various algorithms to engage dynamically along their route (Saeednia & Menendez, 2016).…”

Section: Discussionmentioning

confidence: 99%

Policy implications of truck platooning and electrification

2020

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Trucks in North America account for more than 23% of the transportation sector's greenhouse gas emissions. Truck platooning and truck electrification are potential technologies for reducing emissions and operating cost. However, adoption uncertainties result in speculations about their potential impact. Traditional modeling techniques to inform policymaking use large datasets, trained professionals to calibrate complex software, and take hours to run a single scenario. This paper provides a closed-form model that rapidly calculates trends of the potential national petroleum consumption reduction for a range of technology adoption scenarios. The primary finding is that truck electrification would have a substantially larger impact on fuel consumption reduction than platooning. The limitations of platoonable miles create an upper bound in benefits. When calibrated for the base year fuel-efficiency, the model shows that petroleum consumption reduction would be less than 4% at full adoption of platooning. The electrification of single unit trucks results in more than a 13-fold reduction of national petroleum consumption relative to platooning. However, without the electrification of combination unit trucks, petroleum consumption will eventually begin to increase again. Therefore, policies to encourage the reduction of greenhouse gas emissions should not overlook incentives to electrify combination unit trucks.

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Section: Discussionmentioning

confidence: 99%

Policy implications of truck platooning and electrification

2020

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“…The paper closest to this research is Gerrits (2019). We extend the latter by focusing on the simulation modeling aspects of truck platoon matching and propose a mixed simulation model.…”

Section: Related Workmentioning

confidence: 95%

Simulation Of Real-Time And Opportunistic Truck Platooning At The Port Of Rotterdam

Gerrits

Mes

Schuur

2019

2019 Winter Simulation Conference (WSC)

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Truck platooning is the concept of multiple trucks driving at aerodynamically efficient inter-vehicle distances in a cooperative and semi-autonomous fashion. Advanced sensor technology and wireless communication is used to maintain short and safe following distances between the trucks. This paper proposes an agent-based simulation model to evaluate a matchmaking system for trucks to find a suitable partner to platoon with. We consider two types of platoon matching: real-time (at a truck stop) and opportunistic (while driving on the highway). We evaluate the proposed system using a case study at the Port of Rotterdam and the surrounding area, where we study various factors influencing platoon formation and profitability. Results show that the most influential factors in both platoon formation and the total platoon profitability are wage savings and the possibility of different truck brands to platoon together.

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“…Spontaneous or on-thefly platoon formation without proper prior planning can cause a high frequency of joining and leaving operations by the vehicles which might disrupt traffic and decrease safety [27,36]. is type of platoon might not ensure a high rate of in-platoon driving.…”

Section: Platoon Formation Mechanismmentioning

confidence: 99%

Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets

Wang

Correia

Lin

2022

Journal of Advanced Transportation

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This paper addresses the problem of studying the impacts of the strategic formation of platoons in automated mobility-on-demand (AMoD) systems in future cities. Forming platoons has the potential to improve traffic efficiency, resulting in reduced travel times and energy consumption. However, in the platoon formation phase, coordinating the vehicles at formation locations for forming a platoon may delay travelers. In order to assess these effects, an agent-based model has been developed to simulate an urban AMoD system in which vehicles travel between service points transporting passengers either forming or not forming platoons. A simulation study was performed on the road network of the city of The Hague, Netherlands, to assess the impact on traveling and energy usage by the strategic formation of platoons. Results show that forming platoons could save up to 9.6% of the system-wide energy consumption for the most efficient car model. However, this effect can vary significantly with the vehicle types and strategies used to form platoons. Findings suggest that, on average, forming platoons reduces the travel times for travelers even if they experience delays while waiting for a platoon to be formed. However, delays lead to longer travel times for the travelers with the platoon leaders, similar to what people experience while traveling in highly congested networks when platoon formation does not happen. Moreover, the platoon delay increases as the volume of AMoD requests decreases; in the case of an AMoD system serving only 20% of the commuter trips (by private cars in the case-study city), the average platoon delays experienced by these trips increase by 25%. We conclude that it is beneficial to form platoons to achieve energy and travel efficiency goals when the volume of AMoD requests is high.

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An Agent-based Simulation Model for Truck Platoon Matching

Cited by 11 publications

References 6 publications

Policy implications of truck platooning and electrification

Policy implications of truck platooning and electrification

Simulation Of Real-Time And Opportunistic Truck Platooning At The Port Of Rotterdam

Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets

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