Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles

Sinha, Amolika; Chand, Sai; Wijayaratna, Kasun; Virdi, Navreet; Dixit, Vinayak

doi:10.1016/j.aap.2020.105567

Cited by 91 publications

(42 citation statements)

References 23 publications

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“…Examples for the application for a simulation assessment of the ADS's traffic safety effects can be found Sinha et al (2020) and Bjorvatn et al (2021), which itself include an overview about different studies. In general, the reported effects of ADSs differs quite a lot among the studies depending on the analysed system, traffic situation, conflict type and penetration rates.…”

Section: Simulation Based Approachesmentioning

confidence: 99%

Positive risk balance: a comprehensive framework to ensure vehicle safety

et al. 2022

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The introduction of automated vehicles promises an increase in traffic safety. Prior to its launch proof of the anticipated reduction in the sense of a positive risk balance compared with human driving performance is required from various stakeholders such as the European Union Commission, the German Ethic Commission, and the ISO TR 4804. To meet this requirement and to generate acceptance by the public and the regulatory authorities, a qualitative Risk- Benefit framework has been defined. This framework is based on literature research on approaches applied in other disciplines. This report depicts the framework, adapted from the pharmaceutical sector called PROACT-URL which serves as a structured procedure to demonstrate a positive risk balance in an understandable and transparent manner. The qualitative framework needs to be turned in quantitative methods once it should be applied. Therefore, two steps of the framework are discussed in more detail: First, the definition of adequate development thresholds that are required at an early stage of the development. Second the simulation-based assessment to prove the positive risk balance prior to the market introduction.

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Section: Simulation Based Approachesmentioning

confidence: 99%

Positive risk balance: a comprehensive framework to ensure vehicle safety

et al. 2022

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“…Autonomous Vehicles (AVs) are being widely tested on public roads in several countries around the world. Although AVs are becoming more competent due to advancements in sensing and navigation technologies, safety stands as the biggest challenge in adopting this disruptive technology 1 . Currently, there are two major categories of “field” datasets that are publicly available; the crash and disengagement reports by the California Department of Motor Vehicles (CA DMV) and the extensive sensor (lidar and camera) datasets like KITTI 2 , Waymo 3 , etc.…”

Section: Background and Summarymentioning

confidence: 99%

Crash and disengagement data of autonomous vehicles on public roads in California

Sinha

Chand

et al. 2021

Sci Data

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Autonomous Vehicles (AVs) are being widely tested on public roads in several countries such as the USA, Canada, France, Germany, and Australia. For the transparent deployment of AVs in California, the California Department of Motor Vehicles (CA DMV) commissioned AV manufacturers to draft and publish reports on disengagements and crashes. These reports must be processed before any statistical analysis, which is cumbersome and time-consuming. Our dataset presents the processed disengagement data from 2014 to 2019, crash data till the 10th of March 2020 and supplementary road network and land-use data extracted from OpenStreetMap. Primary data are manually assessed and converted into an easily processed format. Our processed data will be advantageous to the research community and enable accelerated research in this domain. For example, the data can be utilised to discern trends in disengagement, observe the distribution of disengagement causes, and investigate the contributory factors of the crashes. Such investigations can subsequently improve the reporting protocols and make policies and laws for the smooth deployment of this disruptive technology.

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“…People’s perception on AV safety is critical to the pace and success of deploying the AV technology (Shi et al , 2021). However, the safety benefits of CAVs are not proportional to CAV penetration (Sinha et al , 2021). At low levels of CAV penetration rate, the safety improvements were found to be marginal (Arvin et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

Traffic signal coordination control for arterials with dedicated CAV lanes

Xu¹,

Jin

2022

JICV

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Purpose This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping. Design/methodology/approach The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method. Findings A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics. Originality/value To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.

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Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles

Cited by 91 publications

References 23 publications

Positive risk balance: a comprehensive framework to ensure vehicle safety

Positive risk balance: a comprehensive framework to ensure vehicle safety

Crash and disengagement data of autonomous vehicles on public roads in California

Traffic signal coordination control for arterials with dedicated CAV lanes

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