Performance Measurement Evaluation Framework and Co-Benefit\/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey

Tian, Danyang; Wu, Guoyuan; Boriboonsomsin, Kanok; Barth, Matthew

doi:10.1109/mits.2018.2842020

Cited by 43 publications

(16 citation statements)

References 54 publications

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“…The cooperative automation of CAVs can introduce benefits to current transportation systems with respect to safety, mobility, and environmental sustainability [21]. As one of its major tasks, cooperative longitudinal motion control of multiple vehicles has been widely studied.…”

Section: Cooperative Longitudinal Motion Control Applicationsmentioning

confidence: 99%

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

Wang

Bian

Shladover

et al. 2020

IEEE Intell. Transport. Syst. Mag.

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233

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Connected and automated vehicles (CAVs) have the potential to address a number of safety, mobility, and sustainability issues of our current transportation systems. Cooperative longitudinal motion control is one of the key CAV technologies that allows vehicles to be driven in a cooperative manner to achieve system-wide benefits. In this paper, we provide a literature survey on the progress accomplished by researchers worldwide regarding cooperative longitudinal motion control systems of multiple CAVs. Specifically, the architecture of various cooperative CAV systems is reviewed to answer how cooperative longitudinal motion control can work with the help of multiple system modules. Next, different operational concepts of cooperative longitudinal motion control applications are reviewed to answer where they can be implemented in today's transportation systems. Different cooperative longitudinal motion control methodologies and their major characteristics are then described to answer what the critical design issues are. This paper concludes by describing an overall landscape of cooperative longitudinal motion control of CAVs, as well as pointing out opportunities and challenges in the future research and experimental implementations.

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Section: Cooperative Longitudinal Motion Control Applicationsmentioning

confidence: 99%

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

Wang

Bian

Shladover

et al. 2020

IEEE Intell. Transport. Syst. Mag.

Self Cite

233

View full text Add to dashboard Cite

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“…Examples of this potential include but not limited to: development of weatherresponsive variable speed limit (VSL) algorithms (Hammit et al, 2017), real-time identification of traffic operation status (Fountoulakis et al, 2017), and identification of high-risk locations (Xie et al, 2019). Nevertheless, in reality there is a trade-off between mobility and safety benefits (Tian et al, 2018), such as a lower VSL tends to reduce the risk of traffic crash, while it will also bring a longer delay. This further emphasized the significance of using microsimulation modeling for performance assessment, since the market penetration rate of CV should be large enough to ensure that sufficient data will be collected to support for the decision-making process for transportation operators at the transportation management center.…”

Section: Discussionmentioning

confidence: 99%

“…System performance with CV penetration rates from 0 to 30 percent were evaluated; results indicated that significant reductions in total delays when CVs reached a penetration rate of 30 percent. Tian et al (2018) provided an in-depth survey on the performance measurement evaluation of CAV applications. This research summarized three typical performance measures: mobility, safety, and environmental benefits, and analyzed the potential tradeoffs and co-benefits of the three performance measures.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Ahmed

Yang

Gaweesh

et al. 2019

JICV

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Purpose This paper aims to present a summary of the performance measurement and evaluation plan of the Wyoming connected vehicle (CV) Pilot Deployment Program (WYDOT Pilot). Design/methodology/approach This paper identified 21 specific performance measures as well as approaches to measure the benefits of the WYDOT Pilot. An overview of the expected challenges that might introduce confounding factors to the evaluation effort was outlined in the performance management plan to guide the collection of system performance data. Findings This paper presented the data collection approaches and analytical methods that have been established for the real-life deployment of the WYDOT CV applications. Five methodologies for assessing 21 specific performance measures contained within eight performance categories for the operational and safety-related aspects. Analyses were conducted on data collected during the baseline period, and pre-deployment conditions were established for 1 performance measures. Additionally, microsimulation modeling was recommended to aid in evaluating the mobility and safety benefits of the WYDOT CV system, particularly when evaluating system performance under various CV penetration rates and/or CV strategies. Practical implications The proposed performance evaluation framework can guide other researchers and practitioners identifying the best performance measures and evaluation methodologies when conducting similar research activities. Originality/value To the best of the authors’ knowledge, this is the first research that develops performance measures and evaluation plan for low-volume rural freeway CV system under adverse weather conditions. This paper raised some early insights into how CV technology might achieve the goal of improving safety and mobility and has the potential to guide similar research activities conducted by other agencies.

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“…Much literature has focused on the active safety evaluation to study the CACC/ACC rear-end crash risk. Some risk prediction and evaluation models, such as references [11][12][13][14] were proposed, applying macroscopic traffic flow data including density, volume, etc., to proactively perceive potential risk. For example, reference [15] attempted to utilize different driver assistance systems to better reduce small-scale inclement weather-caused rear-end crashes.…”

Section: Introductionmentioning

confidence: 99%

Unravelling the Impacts of Parameters on Surrogate Safety Measures for a Mixed Platoon

et al. 2020

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With the precedence of connected automated vehicles (CAVs), car-following control technology is a promising way to enhance traffic safety. Although a variety of research has been conducted to analyze the safety enhancement by CAV technology, the parametric impact on CAV technology has not been systematically explored. Hence, this paper analyzes the parametric impacts on surrogate safety measures (SSMs) for a mixed vehicular platoon via a two-level analysis structure. To construct the active safety evaluation framework, numerical simulations were constructed which can generate trajectories for different kind of vehicles while considering communication and vehicle dynamics characteristics. Based on the trajectories, we analyzed parametric impacts upon active safety on two different levels. On the microscopic level, parameters including controller dynamic characteristics and equilibrium time headway of car-following policies were analyzed, which aimed to capture local and aggregated driving behavior’s impact on the vehicle. On the macroscopic level, parameters incorporating market penetration rate (MPR), vehicle topology, and vehicle-to-vehicle environment were extensively investigated to evaluate their impacts on aggregated platoon level safety caused by inter-drivers’ behavioral differences. As indicated by simulation results, an automated vehicle (AV) suffering from degradation is a potentially unsafe component in platoon, due to the loss of a feedforward control mechanism. Hence, the introduction of connected automated vehicles (CAVs) only start showing benefits to platoon safety from about 20% CAV MPR in this study. Furthermore, the analysis on vehicle platoon topology suggests that arranging all CAVs at the front of a mixed platoon assists in enhancing platoon SSM performances.

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Performance Measurement Evaluation Framework and Co-Benefit\/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey

Cited by 43 publications

References 54 publications

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Unravelling the Impacts of Parameters on Surrogate Safety Measures for a Mixed Platoon

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