Recent advances in connected and automated vehicles

Elliott, David L.; Keen, Walter; Miao, Lei

doi:10.1016/j.jtte.2018.09.005

Cited by 162 publications

(94 citation statements)

References 68 publications

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“…We solely focus on motion prediction of other traffic participants [24]- [26], which is an integral part of motion planning [27]- [29] and risk assessment [24], [30]. The following related aspects are beyond the scope of this paper: extracting the information of surrounding traffic participants from sensor measurements [31]- [33], the uncertainty of these measurements [34]- [36], and implications on the prediction for connected vehicles [37], [38].…”

Section: A Related Workmentioning

confidence: 99%

Set-Based Prediction of Traffic Participants Considering Occlusions and Traffic Rules

Koschi

Althoff

2021

IEEE Trans. Intell. Veh.

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Provably safe motion planning for automated road vehicles must ensure that planned motions do not result in a collision with other traffic participants. This is a major challenge in autonomous driving, since the future behavior of other traffic participants is not known and since traffic participants are often hidden due to occlusions. In this work, we propose a formal setbased prediction that contains all acceptable future behaviors of both detected and potentially hidden traffic participants. Based on formalized traffic rules and nondeterministic motion models, we perform reachability analysis to predict the set of possible occupancies and velocities of vehicles, pedestrians, and cyclists. Real-world experiments with a test vehicle in various traffic situations demonstrate the applicability and real-time capability of our over-approximative prediction for both online verification and fail-safe trajectory planning. Even in congested, complex traffic scenarios, our forecasting approach enables self-driving vehicles to never cause accidents.

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Section: A Related Workmentioning

confidence: 99%

Set-Based Prediction of Traffic Participants Considering Occlusions and Traffic Rules

Koschi

Althoff

2021

IEEE Trans. Intell. Veh.

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“…However, recent reviews highlight the great uncertainty related to the interaction of CAV with pedestrians in that the reliability of the technology (sensors, algorithm and so on) has not been firmly established. 71 Both pedestrian reaction to CAVs, given the lack of interpersonal communication with the (non)-drivers, and the drivers’ reaction when faced with a pedestrian remain unknown. 72 73 In this era of new mobility technology, there remain more questions than answers.…”

Section: Risk Factors and Interventions For Child Pmvcmentioning

confidence: 99%

State-of-the-art review: preventing child and youth pedestrian motor vehicle collisions: critical issues and future directions

et al. 2020

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AimTo undertake a comprehensive review of the best available evidence related to risk factors for child pedestrian motor vehicle collision (PMVC), as well as identification of established and emerging prevention strategies.MethodsArticles on risk factors were identified through a search of English language publications listed in Medline, Embase, Transport, SafetyLit, Web of Science, CINHAL, Scopus and PsycINFO within the last 30 years (~1989 onwards).ResultsThis state-of-the-art review uses the road safety Safe System approach as a new lens to examine three risk factor domains affecting child pedestrian safety (built environment, drivers and vehicles) and four cross-cutting critical issues (reliable collision and exposure data, evaluation of interventions, evidence-based policy and intersectoral collaboration).ConclusionsResearch conducted over the past 30 years has reported extensively on child PMVC risk factors. The challenge facing us now is how to move these findings into action and intervene to reduce the child PMVC injury and fatality rates worldwide.

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“…One potentially disruptive application is that of autonomous vehicles, not isolated from each other, but connected with each other as well as with roadside sensors and traffic management centres through a geographically distributed integrated infrastructure. This synchronises and reroutes vehicle journeys and hence, reduces collisions and congestion ( Elliott et al., 2019 ). The need for human intervention diminishes with increased capability of this digital complex.…”

Section: The Six Genres Of Technologymentioning

confidence: 99%

Conceptualising technology, its development and future: The six genres of technology

Harwood

Eaves

2020

Technological Forecasting and Social Change

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Highlights Forecasting the long-term development of technology is challenging. The six Genres offers a parsimonious framework to examine future developments. This examines various configurations of human – artefact relationships. It identifies autonomy, intelligence, language, and autopoiesis as key features. The sixth genre is established as Interconnected, autopoietic, technological beings.

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Recent advances in connected and automated vehicles

Cited by 162 publications

References 68 publications

Set-Based Prediction of Traffic Participants Considering Occlusions and Traffic Rules

Set-Based Prediction of Traffic Participants Considering Occlusions and Traffic Rules

State-of-the-art review: preventing child and youth pedestrian motor vehicle collisions: critical issues and future directions

Conceptualising technology, its development and future: The six genres of technology

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