A Systematic Patent Review of Connected Vehicle Technology Trends
Abstract
:1. Introduction
2. Literature Review
2.1. Networking
2.2. Security and Cybersecurity
2.3. Traffic Management
2.4. Road Safety
3. Methodology
4. Results
5. Discussion
6. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Step | SLR | SPR |
---|---|---|
Objective | Define a specific and answerable research question within a focused topic area. | Specify a topic area based on well-established terms used by the patent filing system. |
Search | Retrieve literature from scholarly databases (e.g., Scopus, Google Scholar) that matched specified inclusion and exclusion criteria. | Access a patent database from the official patent office of a specified country and extract all documents containing the defined keywords. |
Screen | Judge validity for inclusion based on pre-defined criteria for relevancy. | Extract documents that are relevant based on a quantitative assessment of their term frequency and position distributions. |
Select | Read the full text to exclude documents that do not address the research question. | Exclude low-relevance documents via qualitative assessment by a subject matter expert. |
Analyze | The data synthesis should provide a comprehensive and informative answer to the research question. | Subject matter expert classification of patent objectives. |
Interpret | Synthesize the available evidence, identify gaps, and generate new theories. | Visualize a denoised word cloud of documents within each objective class to interpret themes and trends. |
Procedure | 2022 | 2021 | 2020 | 2019 | 2018 | Mean |
---|---|---|---|---|---|---|
USPTO Summaries | 283,075 | 330,645 | 355,647 | 357,790 | 310,568 | 327,545 |
Field Isolation | 166 | 145 | 136 | 104 | 71 | 124 |
Duplicate Removal | 164 | 144 | 135 | 100 | 64 | 121 |
Similarity Reduction | 160 | 141 | 135 | 100 | 64 | 120 |
Frequency Filter | 75 | 60 | 54 | 42 | 23 | 51 |
% reduction | 53.1% | 57.4% | 60.0% | 58.0% | 64.1% | 58.5% |
“connected vehicle” < pos count | 67 | 51 | 50 | 37 | 19 | 45 |
“connected vehicle” < pos thresh | 698 | 488 | 690 | 811 | 332 | 604 |
SME Relevance Analysis | 66 | 50 | 50 | 35 | 19 | 44 |
Objective | General Description |
---|---|
Computing Resource | Communications traffic to exchange sensor data and a wide range of other information, including the need for low latency to meet real-time demands place additional burdens on available computational resources. Objectives target optimal resource allocation and usage of onboard and cloud-based computing resources and optimizes communications across multiple network interfaces and servers. |
Cybersecurity | Growing wireless connectivity between vehicles and other things, including other vehicles, expands the vulnerability surface for cyber-attacks. Objectives address enhanced cybersecurity including encryption, authentication, and intrusion detection methods. |
Driving Safety | Objectives utilize vehicle-to-everything connectivity and sensors on other vehicles to enhance visibility and situational awareness. Safely navigating in complex environments, including through intersections and among pedestrians, and avoiding collisions. |
Information Management | Demand for efficient management of information across software applications and services scales with increased vehicle connections. Objectives assure that systems present relevant information to vehicle operating and in-cabin infotainment systems to prevent data overload and prioritize information that is essential for vehicle operation, safety, and user experience. |
Multi-vehicle Networking | Vehicle clusters can form and maintain micro vehicular clouds to efficiently share and exchange information. Objectives address the efficient use of resources among vehicles to enable capabilities such as distributed data storage, collaborative computing, reliable communications, and service provisioning. |
Platooning | The streamlined aerodynamics of vehicles following each other more closely than normal (platooning) results in better fuel efficiency and improved traffic flow. Objectives address various ways to utilize wireless, sensors, and real-time control mechanisms to enable safer and more cost-efficient platooning and alerting law-enforcement. |
Smart Parking | Locating parking spaces in crowded and complex environments can be challenging and contribute to congestion. Objectives facilitate cooperative parking space searches, including charging for the “ego” vehicle by using sensors and micro vehicular clouds or centralized services. |
Traffic Signaling | Suboptimal traffic signal timing can exacerbate congestion. Objectives leverage wireless communications and sensors among vehicles to assess conditions and predict arrival times while dynamically optimizing traffic signaling for overall traffic impact. |
Vehicle Monitoring | Objectives aim to enrich in-cabin experiences for passengers through display devices that provide various forms of information and entertainment. Methods of preventing motion sickness by monitoring and predicting ride quality. |
Vehicle Navigation | Objectives update electronic maps with real-time data from vehicles for more accurate navigation. Detecting environmental changes dynamically such as topography, emergency situations, and seasonal conditions like flooding or snow to inform alternative routes. |
Wireless Communications | Objectives address advancements in wireless communications such as lower latency cellular networks, quality of service, resilience in noisy environments, and interference. |
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© 2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Bridgelall, R. A Systematic Patent Review of Connected Vehicle Technology Trends. Future Transp. 2024, 4, 15-26. https://doi.org/10.3390/futuretransp4010002
Bridgelall R. A Systematic Patent Review of Connected Vehicle Technology Trends. Future Transportation. 2024; 4(1):15-26. https://doi.org/10.3390/futuretransp4010002
Chicago/Turabian StyleBridgelall, Raj. 2024. "A Systematic Patent Review of Connected Vehicle Technology Trends" Future Transportation 4, no. 1: 15-26. https://doi.org/10.3390/futuretransp4010002