- 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: | WU Dehua, PENG Rui, LIN Xiling. Hybrid Characteristics of Heterogeneous Traffic Flow in Intelligent Network[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 761-768. doi: 10.3969/j.issn.0258-2724.20210276
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To understand the evolutionary law of heterogeneous traffic flows in intelligent network, based on the improved NaSch model, the simulation experiments are conducted respectively for the early, middle and late stages of intelligent network connectivity, and the basic diagram of traffic flow is obtained via numerical simulation to analyze the intrinsic connection between the capacity and the penetration rate of connected vehicles. Through Markov chain, the orderly arrangement of connected vehicles is proved to improve the road capacity, and random simulation experiments verify the theoretical derivation. The relative entropy in terms of vehicle arrangement is introduced to quantify the order of heterogeneous traffic flow, and clarify the essence of the connected and autonomous vehicle (CAV) improving traffic conditions. The results show that: the capacity increases with the penetration of CAV; in the early stage, the increase of penetration has a little effect on the capacity improvement with the maximum of 23.5%, while in the middle and late stages, it improves the capacity by 125.0%; under certain traffic density, CAV penetration positively correlates with traffic, and the relative entropy negatively correlates with traffic; when CAVs are in a separated state, the relative entropy is low and the improvement in the randomly mixed capacity reduces with increasing CAV penetration .
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