Wander 2D: a flexible pavement design framework for autonomous and connected trucks

Gungor, Osman Erman; Al-Qadi, Imad L.

doi:10.1080/10298436.2020.1735636

Cited by 35 publications

(22 citation statements)

References 13 publications

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“…However, as shown in scenario 4, this effect can be reduced by increasing the lateral wander of the platoons, which is also supported by other results from the literature ( 11, 12, 18, 20–22, 24 ).…”

Section: Pavement Damage and Pavement Fatigue Life Resultssupporting

confidence: 88%

Fatigue Life Predictions for a European Pavement Test Section Subjected to Individual and Platoon Truck Configurations

Leiva-Padilla

Blanc

Salgado

et al. 2022

Transportation Research Record

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Truck platooning for the transportation of loads is a strategy recently proposed by the automotive sector to cope with traffic congestion, fuel consumption, and operational costs. This new way of configuring trucks changes the typical pressures pavements structures experience. For this reason, the research efforts of the pavement sector should be aligned with the automotive sector to propose road-friendly platoon configurations. This is one of the objectives of the European project ENSEMBLE. ENSEMBLE, as indicated by its acronym, works on ENabling SafE Multi-Brand pLatooning for Europe. In this context, the present study presents a real scale test done in the Applus IDIADA facilities to evaluate the fatigue behavior of a pavement structure subjected to individual and platoon truck configurations. The effects of parameters such as traffic distribution through the year and by time of day, percentage of platoons, truck loads, number of trucks in platoon configuration, lateral wandering, and inter-truck distances were evaluated. The study’s findings revealed that the reduced rest times between trucks in the platoon configuration reduce the recovery time of the asphalt layers, increasing the fatigue damage to the pavement at high temperature conditions. This underlines the need for further research to allow the proper implementation of truck platoons. For example, research is needed to define strategies to make truck platoon configurations more pavement-friendly and analyze the costs associated with the changes in the required road maintenance/rehabilitation treatments, among others.

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Section: Pavement Damage and Pavement Fatigue Life Resultssupporting

confidence: 88%

Fatigue Life Predictions for a European Pavement Test Section Subjected to Individual and Platoon Truck Configurations

Leiva-Padilla

Blanc

Salgado

et al. 2022

Transportation Research Record

View full text Add to dashboard Cite

show abstract

“…Influencing factors for lateral wander are drivers' habit, wind effect, and mechanical alignment (Buiter et al, 1989). Lateral positioning of the wheel for human-driven vehicles follows probabilistic distribution along the cross-section of the lane (Gungor & Al-Qadi, 2020b;Siddharthan et al, 2017).…”

Section: Wheel Wander and Pavement Distressesmentioning

confidence: 99%

“…The analysis showed reduced thickness in the asphalt concrete layer (AC), accounting for the uniform distribution of traffic loading, covering the entire width. Gungor and Al-Qadi proposed the Wander 2D approach for controlling the lateral position of ATs and evaluate cumulative fatigue and rutting in asphalt pavement (Gungor & Al-Qadi, 2020b). This approach is an entirely analytical solution.…”

Section: Current Knowledge On Pavement Damagementioning

confidence: 99%

Simulation of autonomous truck for minimizing asphalt pavement distresses

Rana

Hossain

2021

Road Materials and Pavement Design

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The improvement of the pavement performance by different means is essential for the smooth movement of autonomous trucks (ATs). This study focuses on minimising the pavement distress by controlling vehicular loading distribution pattern (wander), traffic distribution on lanes (lane sharing) of a road, and limiting the running duration of AT to low-temperature time only. Mechanistic-Empirical Pavement Design Software, AASHTOWare, was incorporated in this research to analyze and then minimise the generation of asphalt pavement distress from autonomous truck loading. Different loading distribution patterns and traffic distribution of autonomous trucks were devised in AASHTOWare using the load equivalency factor (LEF) and lane distribution factors. Using multilayer elastic theory, LEFs were calculated for fatigue cracking and rutting separately. The acquired performances clearly showed significant improvement in pavement distress for a small increase of standard deviation of wheel wander and uniform distribution of traffic loading and for equally distributed ATs on the road lanes. In addition, an attempt has been made to optimise pavement distress in putting all ATs in a low-temperature duration of a day. Placing all ATs in a certain period of a day is beneficial for reducing asphalt pavement distresses and can bring a fruitful solution to prevent the early deterioration of the pavements.

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“…It is possible to consider that each vehicle's wheels would stress road pavement always in the same areas and with almost constant speed in a context aimed at AVs exclusive transition. Ultimately, it is expected that road pavement would be stressed by vehicle loads not homogeneously, like for vehicles driven by a human driver (since each driver has its way of driving), but in a cross-section area that could be almost constant [44,45]. Table 4 reports an overview of AVs' effects on roadway pavement.…”

Section: Avs Effects On Roadway Pavementmentioning

confidence: 99%

Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems

et al. 2021

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Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles’ spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems.

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Wander 2D: a flexible pavement design framework for autonomous and connected trucks

Cited by 35 publications

References 13 publications

Fatigue Life Predictions for a European Pavement Test Section Subjected to Individual and Platoon Truck Configurations

Fatigue Life Predictions for a European Pavement Test Section Subjected to Individual and Platoon Truck Configurations

Simulation of autonomous truck for minimizing asphalt pavement distresses

Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems

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