Multi-Criteria Decision Making for Autonomous Vehicles using Fuzzy Dempster-Shafer Reasoning

Claussmann, Laurène; O’Brien, Marie; Glaser, Sébastien; Najjaran, Homayoun; Gruyer, Dominique

doi:10.1109/ivs.2018.8500451

Cited by 25 publications

(10 citation statements)

References 23 publications

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“…They did not consider the environment of human-driven vehicles and lane-changing behavior in different and unexplored places [20] Maximum likelihood estimation, sensors, GPS, V2V High deployment costs; can handle only a linear function [21] DL, convolution network-CNVPS (GCN-CNVPS), GPS, V2V Assumptions made for GPS errors [22] Fuzzy logic, Dempster-Shafer Theory Communication issues not discussed [23] Collision avoidance algorithm Collisions can be identified and avoided in connected vehicles only [24] CCTV surveillance footage Poor results for small vehicles The accident process may take longer due to heuristics [25] Cellular network, multi-hop ideal sending calculation Probability of failure due to unpredicted behaviors in traffic A1. Cont.…”

Section: Refmentioning

confidence: 99%

Smart Roads for Autonomous Accident Detection and Warnings

Mateen

Hanif

Khatri

et al. 2022

Sensors

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An increasing number of vehicles on the roads increases the risk of accidents. In bad weather (e.g., heavy rainfall, strong winds, storms, and fog), this risk almost doubles due to bad visibility as well as road conditions. If an accident happens, especially in bad weather, it is important to inform approaching vehicles about it. Otherwise, there might be another accident, i.e., a multiple-vehicle collision (MVC). If the Emergency Operations Center (EOC) is not informed in a timely fashion about the incident, fatalities might increase because they do not receive immediate first aid. Detecting humans or animals would undoubtedly provide us with a better answer for reducing human fatalities in traffic accidents. In this research, an accident alert light and sound (AALS) system is proposed for auto accident detection and alerts with all types of vehicles. No changes are required in non-equipped vehicles (nEVs) and EVs because the system is installed on the roadside. The idea behind this research is to make smart roads (SRs) instead of equipping each vehicle with a separate system. Wireless communication is needed only when an accident is detected. This study is based on different sensors that are used to build SRs to detect accidents. Pre-saved locations are used to reduce the time needed to find the accident’s location without the help of a global positioning system (GPS). Additionally, the proposed framework for the AALS also reduces the risk of MVCs.

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Section: Refmentioning

confidence: 99%

Smart Roads for Autonomous Accident Detection and Warnings

Mateen

Hanif

Khatri

et al. 2022

Sensors

View full text Add to dashboard Cite

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“…In the mobility sector, studies have sought to optimise multi-criteria functions, such as accessibility, safety, legal rules, passenger preferences (e.g., comfort) and energy consumption (Campos et al 2009;Claussmann et al 2018). For example, Multi-actor Multi-criteria Analysis (MAMCA) can include multiple stakeholders in the process of making decisions about sustainable mobility, including an assessment of low-carbon transport policy (Huang et al 2021).…”

Section: Developing a Common Evaluative Framework: In Search Of A Supervalue And Shared Metricsmentioning

confidence: 99%

Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science

et al. 2021

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Sustainability transformations call forth new forms and systems of knowledge across society. However, few tools and processes exist for promoting dialogue among different interests and normative stances in knowledge co-creation. In this article, we build on the notion of thought collectives to argue that understanding and moderating normative tensions are necessary if sustainability science is to provide successful solutions. Drawing on an analysis of the normative tensions between rival high-tech and low-tech thought collectives in the mobility and food production sectors, we discuss three strategic approaches: applying common evaluative frameworks, building contextual convergence and embracing complexity. We argue that these strategies indicate a need to distinguish different kinds of reflexivity in managing tensions among thought collectives. As a practical conclusion, we establish sets of reflexive questions to help sustainability scientists deploy the knowledge management strategies discussed.

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“…The lateral comfort not only combines the lateral acceleration and jerk, but it also includes the smoothness of the path, obtained from the first and second derivative of its curvature, as in [ 18 ]. In [ 32 ], the collision risk is minimized by increasing the distance to the existing obstacles in the driving scene; in [ 33 ], the authors propose different metrics such as time headway or lateral and longitudinal distances to surrounding obstacles, and in [ 34 ], the risk metric is directly linked to the lane departure of the vehicle. With this in mind, the safety

is computed by measuring the distance to static obstacles, the average inter-distance to a leader vehicle (if present) and the lane invasion of the candidates.…”

Section: Evaluation Of Candidatesmentioning

confidence: 99%

Merit-Based Motion Planning for Autonomous Vehicles in Urban Scenarios

Lee

Artuñedo

Godoy

et al. 2021

Sensors

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Safe and adaptable motion planning for autonomous vehicles remains an open problem in urban environments, where the variability of situations and behaviors may become intractable using rule-based approaches. This work proposes a use-case-independent motion planning algorithm that generates a set of possible trajectories and selects the best of them according to a merit function that combines longitudinal comfort, lateral comfort, safety and utility criteria. The system was tested in urban scenarios on simulated and real environments, and the results show that different driving styles can be achieved according to the priorities set in the merit function, always meeting safety and comfort parameters imposed by design.

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Multi-Criteria Decision Making for Autonomous Vehicles using Fuzzy Dempster-Shafer Reasoning

Cited by 25 publications

References 23 publications

Smart Roads for Autonomous Accident Detection and Warnings

Smart Roads for Autonomous Accident Detection and Warnings

Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science

Merit-Based Motion Planning for Autonomous Vehicles in Urban Scenarios

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