Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research and Application of a Multi-level Human-vehicle Collaborative Verification Method Based on Electronic Passes

ZHANG Yongchao1,2, LI Junjun1, ZHU Shengqiang1, JIAO Libin1

(1.Hebei Far East Communication System Engineering Co., Ltd., Shijiazhuang 050200, China; 2.Hebei Provincial Key Laboratory of Social Risk Perception and Prevention and Control, Shijiazhuang 050200, China)

Section：Information Application · Vol. 2026, Issue 17 · Pages：93-97 · 2096-4706（2026）17-0093-05 · CLC number：TP311.5 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.17.017

Abstract

To address the problems of inefficient passage caused by repeated checks, difficulty in strategy adjustment, and failure to perceive dynamic risks in multi-level prevention and control systems, a human-vehicle collaborative verification method based on electronic passes is proposed. The method establishes a linkage mechanism between the hierarchical topology and dynamic passes, implements differentiated control through a “progressive re-check inward, pass-based exemption outward” strategy, and supports configurable dynamic adjustment. Pilot applications show that the response time for high-risk targets decreases to 0.3 s, the miss rate drops to 0%, the passage efficiency of normal vehicles increases by 72.4%, and the strategy adjustment time is reduced from several hours to within 5 minutes. This method effectively balances precise prevention and control with efficient passage, providing a scalable technical path for smart security.

Keywords

human-vehicle collaboration; electronic pass; multi-level prevention and control; dynamic configuration; traffic efficiency

References

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About the authors

Zhang Yongchao (1988-), male, Han ethnicity, from Shijiazhuang, Hebei Province, China, is a deputy senior engineer and a master's student with a research focus on computer applications.