Cooperative, Connected and Automated Mobility (CCAM): Technologies and Applications

Ferreira, Joaquim

doi:10.3390/electronics8121549

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The vehicle movements can be coordinated via the cooperative connected and automated mobility (CCAM) technique to prevent the occurrence of capacity drop and congestion. Cooperative connected and automated mobility (CCAM) aims to achieve a safer, more efficient, and more comfortable mobility mode by coordinating vehicle motion states with sharing information [44]. CCAM mainly includes the technology of vehicular communications, automated driving, and cooperating transportation systems.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Tunnel Traffic Evolution during Capacity Drop Based on High-Resolution Vehicle Trajectory Data

Wang

2022

Algorithms

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Capacity drop is the critical phenomenon that triggers traffic congestion, while traffic evolution is very complex during a capacity drop. This study applied the empirical vehicle trajectory data to explore the traffic characteristics during the capacity drop at the tunnel bottleneck section. We first construct a capacity drop analysis model using image processing technology to extract high-precision vehicle trajectories. We then analyze the characteristics of the evolution process of the capacity drop at the bottleneck area. The results show that the capacity drop is a dynamic evolution process from free flow to congested flow where traffic operation is distinct. The capacity drop shows the difference between congested flow and non-congested flow. The driving characteristics of drivers in the two states are also different. The influence of lane-changing behavior on the capacity drop is estimated. In the free flow state, the disturbance caused by lane-changing can be quickly eliminated. With the increase in vehicle numbers in the area, the frequent lane-changing behavior accumulates disturbance. When the disturbance reaches a certain degree, congestion will occur, and the vehicle’s speed will drop sharply, resulting in a capacity drop.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Tunnel Traffic Evolution during Capacity Drop Based on High-Resolution Vehicle Trajectory Data

Wang

2022

Algorithms

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“…Automated driving can safely work only in specific Operational Design Domains (ODDs) [35]. Furthermore, many works, such as [36][37][38] stress the importance of real-time data exchange capability for full materialization of all the expected CCAM benefits. Therefore, digital infrastructure is one of the main parameters in the design of CCAM.…”

Section: System Methodology For Detection Of Readiness Status Of Digi...mentioning

confidence: 99%

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Cucor,

Petrov,

Kamencay

et al. 2023

Electronics

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The rapid integration of Connected and Automated Vehicles (CAVs) into modern transportation systems necessitates a robust and systematic approach to assess the quality of the underlying digital infrastructure. In the presented work, we propose a methodology and evaluation of framework that can be used to assess digital infrastructure segments based on their readiness for the deployment of CAVs. The methodology encompasses a comprehensive framework that collects, processes, and evaluates diverse data sources, including real-time traffic, communication, and environmental data. The proposed framework is developed based on experimental data and provides a systematic approach to assess infrastructure readiness for CAVs. The proposed methodology is applied in a system for detecting the readiness status of digital infrastructure from a Cooperative, Connected, and Automated Mobility (CCAM) perspective. The system can determine the percentage of non-compliance of technical service requirements in terms of latency, bandwidth, and localization accuracy. Thanks to this, we can determine in advance in which state the current digital infrastructure is and which services can be currently operated, and thus locate the segments of the route in which the telecommunication systems need to be supported.

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“…In fact, digital technologies, connectivity, and social media are transforming traditional concepts of mobility [9][10][11]. New mobility services and concepts are emerging, such as mobility as a service and cooperative, connected and automated mobility, and give rise to innovative mobility services [12][13][14]. Smartphone applications offer real-time analytics and data on traffic conditions [15].…”

Section: Introductionmentioning

confidence: 99%

Research and Innovation Supporting the European Sustainable and Smart Mobility Strategy: A Technology Perspective from Recent European Union Projects

et al. 2021

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Many concepts and innovations aim to improve transport and mobility, while helping to decrease the externalities that transport imposes on society. Research and innovation monitoring tools are important to assess the current state of development so that research funding and policy making efforts can be aligned optimally. This paper presents a comprehensive approach which links technological developments in the transport sector in Europe to the objectives of the most recent policy developments, in particular, the 2020 European Sustainable and Smart Mobility Strategy. It does so by identifying and evaluating technologies from European Union-funded projects between 2007 and 2020, by means of a technology taxonomy. Information is provided at an aggregated level on funding characteristics of both projects and the technologies, while at the same time, the level of maturity of researched technologies in the most recent projects is identified. This study can aid policy makers to support the future development of transport technologies as part of pertinent policy strategies and identify research gaps.

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Cooperative, Connected and Automated Mobility (CCAM): Technologies and Applications

Abstract: The advent of cooperative connected and automated mobility (CCAM) has the potential to fundamentally change the mobility paradigm towards mobility as a service, contributing to more safe, efficient and comfortable transportation systems [...]

Cited by 4 publications

References 7 publications

Tunnel Traffic Evolution during Capacity Drop Based on High-Resolution Vehicle Trajectory Data

Tunnel Traffic Evolution during Capacity Drop Based on High-Resolution Vehicle Trajectory Data

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Research and Innovation Supporting the European Sustainable and Smart Mobility Strategy: A Technology Perspective from Recent European Union Projects

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