- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | XIE Chi, XIONG Yingchang, ZHU Hong, HUANG Wei, TANG Keshuang, LIU Yanyue, LI Zhenhua, ZHAO Kaiqi. Generational Evolution Path of Autonomous Transportation Systems Based on Hierarchical Evolvable Architecture Models[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250140
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As the intelligent technologies continuously develop, the transportation system is shifting toward autonomous and unmanned operation modes. To clarify the technical characteristics and functional advantages of autonomous transportation systems (ATS) at different autonomy levels, this paper deconstructs ATS into five layers of the system, scenario, function, technology, and service by quantifying the generational evolution standards of ATS, evaluating system topology, and simulating and analyzing the generational evolution paths of ATS. Meanwhile, in terms of the linkages between traffic scenarios, traffic entities, and traffic services, it employs the quantized values of technological types and their development levels required by each function as the link cost, and proposes a hierarchical evolvable architecture model for ATS based on classical network theory. Finally, by taking the priority passage service under road intersection scenarios as an example, the interaction relationship between ATS traffic entities, functional realization, and information flow is analyzed in depth by calibrating the link cost via questionnaires. The results show that increasing interoperable linkages can significantly improve the autonomy level of ATS, with the key milestone for full autonomy being “human participation reduced to less than 10%”. The proposed hierarchical evolvable architecture model provides a quantitative analysis framework for ATS generational evolution, filling the gap of existing theories in system-level dynamic evolution modeling. The findings can assist transportation authorities in ATS development planning and provide a quantitative basis for priority setting in technological research and development.
| [1] |
国家统计局. 中国统计年鉴 [R]. 2025.
|
| [2] |
NIE Y Y, JIANG J H, NIE Y Y, et al. The impact of highway transportation infrastructure on carbon emissions in the Yangtze river delta region[J]. Sustainability, 2024, 16(17): 7515. doi: 10.3390/su16177515
|
| [3] |
张可, 齐彤岩, 刘冬梅, 等. 中国智能交通系统(ITS)体系框架研究进展[J]. 交通运输系统工程与信息, 2005, 5(5): 10-15. doi: 10.3969/j.issn.1009-6744.2005.05.002
ZHANG Ke, QI Tongyan, LIU Dongmei, et al. The latest achievements of Chinese national ITS architecture[J]. Communication and Transportati0n Systems Engineering and Information, 2005, 5(5): 10-15. doi: 10.3969/j.issn.1009-6744.2005.05.002
|
| [4] |
LUSCO T. ARC-IT architecture reference for cooperative and intelligent transportation[EB/OL]. (2024-11-13). https://www.arc-it.net/.
|
| [5] |
FRAME F. The FRAME architecture[EB/OL]. (2024-11-13). https://frame-online.eu/frame-architecture/.
|
| [6] |
AOYAMA K I. Universal traffic management system (UTMS) in Japan[C]//Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference. Yokohama, Japan. IEEE, 2002: 619-622.
|
| [7] |
SHLADOVER S E. Connected and automated vehicle systems: Introduction and overview[J]. Journal of Intelligent Transportation Systems, 2018, 22(3): 190-200. doi: 10.1080/15472450.2017.1336053
|
| [8] |
JIA L M, CHEN X Y, MA X P, et al. On autonomous transportation systems[J]. Smart and Resilient Transportation, 2022, 4(2): 66-77. doi: 10.1108/SRT-06-2022-0015
|
| [9] |
国务院. 中国交通的可持续发展[EB/OL]. (2020-12-22) [2024-11-14]. http://www.scio.gov.cn/zfbps/ndhf/2020n/202207/t20220704_130660.
|
| [10] |
HUANG K, CHEN C T, XIAO Y, et al. A function area division approach for autonomous transportation system based on text similarity[J]. Journal of Advanced Transportation, 2023, 2023(1): 2570824. doi: 10.1155/2023/2570824
|
| [11] |
CREß C, BING Z S, KNOLL A C. Intelligent transportation systems using roadside infrastructure: a literature survey[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7): 6309-6327. doi: 10.1109/TITS.2023.3343434
|
| [12] |
魏伟, 郑来, 蔡铭. 面向自主式交通的智能交通系统用户需求研究[J]. 交通科技与经济, 2022, 24(2): 1-7. doi: 10.19348/j.cnki.issn1008-5696.2022.02.001
WEI Wei, ZHENG Lai, CAI Ming. Research on user needs of Intelligent Transportation System for autonomous transportation[J]. Technology & Economy in Areas of Communications, 2022, 24(2): 1-7. doi: 10.19348/j.cnki.issn1008-5696.2022.02.001
|
| [13] |
裴建中. 道路工程学科前沿进展与道路交通系统的代际转换[J]. 中国公路学报, 2018, 31(11): 1-10. doi: 10.3969/j.issn.1001-7372.2018.11.001
PEI Jianzhong. Progress of highway engineering and generation upgrading of highway transportation system[J]. China Journal of Highway and Transport, 2018, 31(11): 1-10. doi: 10.3969/j.issn.1001-7372.2018.11.001
|
| [14] |
YOU L L, HE J S, ZHAO J J, et al. A federated mixed logit model for personal mobility service in autonomous transportation systems[J]. Systems, 2022, 10(4): 117. doi: 10.3390/systems10040117
|
| [15] |
ZHOU Z S, CAI M, DENG Z L, et al. Cyber physical system modeling and analysis in typical scenarios based on the theory of autonomous transportation system[M]//Quality, Reliability, Security and Robustness in Heterogeneous Systems. Cham: Springer Nature Switzerland, 2024: 165-177.
|
| [16] |
LIANG C, CHEN Z W, YANG L, et al. Physical architecture simulation based on system dynamics modelling for an autonomous transportation system scenario[J]. Journal of Advanced Transportation, 2023, 2023(1): 9390468. doi: 10.1155/2023/9390468
|
| [17] |
U. S. Department of Transportation. Saving lives with connectivity: a plan to accelerate v2x deployment [EB/OL]. (2024-11-13) [2024-12-14]. https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdf.
|
| [18] |
DOT Releases National Deployment Plan for Vehicle-to-Everything (V2X) Technologies to Reduce Death and Serious Injuries on America’s Roadways [EB/OL]. (2024-08-16) [2024-12-14]. https://highways.dot.gov/newsroom/usdot-releases-national-deployment-plan-vehicle-everything-v2x-technologies-reduce-death.
|
| [19] |
方明辉, 由林麟, 郝迈, 等. 自主式交通系统架构自适应演进方法[J]. 中山大学学报, 2024, 63(4): 115-123.
FANG Minghui, YOU Linlin, HAO Mai, et al. The adaptive evolution mechanism of autonomous transportation system architecture[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2024, 63(4): 115-123.
|
| [20] |
徐光明, 刘昕怡, 钟林环, 等. 自主式交通系统逻辑架构可靠性分析与评价[J]. 铁道科学与工程学报, 2022, 19(10): 2852-2861.
XU Guangming, LIU Xinyi, ZHONG Linhuan, et al. Reliability analysis and evaluation of logical architecture for autonomous transportation system[J]. Journal of Railway Science and Engineering, 2022, 19(10): 2852-2861.
|
| [21] |
YOU L L, HAO M, SUN J, et al. Toward a personalized autonomous transportation system: Vision, challenges, and solutions[J]. The Innovation, 2024, 5(6): 100704. doi: 10.1016/j.xinn.2024.100704
|
| [22] |
YOU L L, HE J S, WANG W, et al. Autonomous transportation systems and services enabled by the next-generation network[J]. IEEE Network, 2022, 36(3): 66-72. doi: 10.1109/MNET.006.2100542
|
| [23] |
LIU Y, TUO H N, HE M F, et al. Mapping relationship discovery of multidimensional architectures in autonomous transportation system based on text-matching model[J]. Journal of Advanced Transportation, 2023, 2023(1): 8707205. doi: 10.1155/2023/8707205
|
| [24] |
YU Y Z, GOU C, XIONG C. Intergeneration division based on key component analysis in an autonomous transportation system using the natural language processing method[J]. Journal of Advanced Transportation, 2023, 2023(1): 5850876. doi: 10.1155/2023/5850876
|
| [25] |
Bureau of Public Roads. Traffic Assignment Manual[M]. Washington: Urban Planning Division, 1964.
|
| [26] |
杜家豪, 秦娜, 贾鑫明, 等. 基于联邦学习的多线路高速列车转向架故障诊断[J]. 西南交通大学学报, 2024, 59(1): 185-192.
DU Jiahao, QIN Na, JIA Xinming, et al. fault diagnosis of high-speed train bogies on multiple lines based on federated learning[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 185-192.
|
| [27] |
徐进, 陈钦, 陈正委, 等. 适应无人驾驶汽车的道路设施设计综述[J]. 西南交通大学学报, 2023, 58(6): 1366-1377. doi: 10.3969/j.issn.0258-2724.20220007
XU Jin, CHEN Qin, CHEN Zhengwei, et al. Review of roadway facility design for self-driving cars[J]. Journal of Southwest Jiaotong University, 2023, 58(6): 1366-1377. doi: 10.3969/j.issn.0258-2724.20220007
|
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