The Innovation Effect of Intelligent Connected Vehicle Policies in China

Zhang, Rongjia; Zhong, Wenqin; Wang, Na; Sheng, Ruxu; Wang, Yiqi; Zhou, Yuan

doi:10.1109/access.2022.3155167

Cited by 11 publications

(3 citation statements)

References 15 publications

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“…Intelligent connected vehicle (ICV) [3], the combination of the Internet of vehicles and intelligent vehicle, is an intelligent mobile space that integrates modern communication technology and network technology. ICV facilitates the sharing of perceived data among vehicles and traffic infrastructure through communication and cloud computing, allowing for more informed decision making [4].…”

Section: Introductionmentioning

confidence: 99%

Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Chai,

Yan,

Zhang

et al. 2024

ELEKTRON ELEKTROTECH

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As an important enabling technology in the era of Industry 4.0, the intelligent connected vehicle (ICV) facilitates robust data interaction with the outside through sensors and communication technologies, ultimately making scientific decisions based on environmental perception information. However, due to constraints such as limited communication bandwidth and computing resources, the influx of data simultaneously impedes the sustainable optimisation of the vehicle decision making process at the same time. As a novel technology that effectively connects physical and virtual space, the special ability of the digital twin (DT) is to identify characteristics within a certain lifecycle, thereby garnering widespread attention across various industries. The purpose of this paper is to review the contribution of digital twins in the application field of intelligent vehicles and explore its potential for development. First, the key technologies of ICV provide a basis for the embedding of digital twins. Then, by analysing the development process and technical composition of digital twins, readers can better understand the concept of digital twins. Finally, the application of DTs in ICV is reviewed from the perspective of vehicles, traffic facilities, and occupants. Future challenges and opportunities in this direction are described at the same time.

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Section: Introductionmentioning

confidence: 99%

Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Chai,

Yan,

Zhang

et al. 2024

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

show abstract

“…Implementations of the latter use case, which is known as automated valet parking (AVP) [6], are currently transitioning from prototypes to actual deployments such as at the airport of Stuttgart in Germany [7]. Effectively combining a set of supporting functions as part of an overarching intelligent transportation system (ITS) [8] is currently explored in first deployments, e. g., New York City's Connected Vehicle Pilot Project [9], London's Smart Mobility Living Lab [10] or in various cities in China through their country-wide innovation strategy programs [11].…”

Section: Introductionmentioning

confidence: 99%

Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities

Strauss,

Oechsle,

Bauknecht

2024

IEEE Access

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Connected and Autonomous Vehicles (CAV) which interact with Roadside Units (RSU) as part of a smart city infrastructure are currently seeing first real-world deployments. Not only can CAVs benefit from access to a cities' infrastructure by obtaining data from various sensors (e. g., Video or Lidar), but they can also leverage the broad network coverage to offload complex computation tasks from their limited on-board hardware to scalable cloud resources. Furthermore, a smart city supporting multi-access edge computing (MEC) can even provide safety-relevant and time-critical services thanks to reduced latency and increased reliability. This requires an algorithm to determine which vehicle offloads computation to which computation resource in the city. This orchestration task is a challenging combinatorial problem subject to resource and quality of service constraints. We present a novel and powerful, yet surprisingly simple algorithm that provides a good and fast approximation to this problem. This Differentiable Orchestrator converts a combinatorial problem into a soft-constrained differentiable analog, which can be solved very quickly. We compare the proposed method with other heuristic methods and conclude that it significantly outperforms most competing methods in artificial examples and realistic scenarios. In order to make the method as reproducible as possible and serve as a baseline for future research we make our data and simulations freely available.

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“…In 2025, China's market penetration rate for ICVs is expected to surpass 75%, which is greater than the global market's assembly rate [1]. However, while ICVs become a strategic high point illustrating the path of industrial upgrading as well as the future development trend of automotive technology, the impact of issues such as lack of technical path clarity, enterprise transformation and upgrading lack sufficient vigor on the ICV industry is more prominent [2].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game and Simulation Analysis of Intelligent Connected Vehicle Industry With Cross-Border Collaborative Innovation

Tang

Zhao

et al. 2023

IEEE Access

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The Made in China 2025 national strategy has prioritized intelligent connected vehicles (ICV) to realize the intelligence and connection transformation and upgrading of the automotive industry, ushering in unprecedented development opportunities. There are two technology paths in the ICV industry: singlevehicle intelligence and vehicle-infrastructure collaboration. Both face problem of low technological innovation efficiency, and key to solving it is breaking down barriers between enterprises and realizing crossborder collaborative innovation. This study offers a new cross-border collaborative innovation development paradigm for the ICV industry, centered on automotive enterprises and technology platform providers. This study examines the impact of changes in key parameters on the evolutionary results using the system dynamics method to analyze the efficiency of cross-border collaborative innovation in the ICV industry. The simulation results showed that cross-border collaborative innovation is inevitable for the ICV industry. Furthermore, compared to the single-vehicle intelligence scenario, the vehicle-infrastructure collaboration scenario shows faster convergence between automotive enterprises and technology platform providers. Finally, the choice of system collaborative innovation strategy is influenced by default cost and the collaborative innovation risk coefficient, whereas the cost-sharing coefficient and network connection fee only have an impact on the cross-border collaborative innovation system's rate of evolution in the ICV industry.

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The Innovation Effect of Intelligent Connected Vehicle Policies in China

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 11 publications

References 15 publications

Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review

Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities

Evolutionary Game and Simulation Analysis of Intelligent Connected Vehicle Industry With Cross-Border Collaborative Innovation

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