Journal of Applied Science and Engineering

Published by Tamkang University Press

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Application of immune clonal annealing algorithm for traffic diversion in traffic accident areas

 2026

 Volume 29, Issue 4

Manzhi Zheng, Changming Zhao, and Chunxu Wu

Southwest Jiaotong University Hope College, Chengdu City, Sichuan Province, China

Received: March 24, 2025
Accepted: June 29, 2025
Publication Date: April 2, 2026

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Road network structure

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To address the delayed adaptation of conventional traffic diversion methods in dynamic accident scenarios, this study proposes an immune clone annealing algorithm (ICAA)-based framework with three key innovations. First, a residual capacity analysis model is developed to pre-identify high-congestion-risk road sections (threshold: congestion probability CP ≥ 0.65) using directed graph theory, enabling proactive congestion management. Second, an enhanced support vector machine (SVM) classifier is introduced, integrating vehicle speed, density, and occupancy with cuckoo search optimization, achieving a congestion detection accuracy of 93.2%. Third, a throughput-maximizing objective function, resolved by the ICAA, is designed to optimize traffic flowredistribution. Simulation results under peak-hour accident conditions demonstrate that the proposed framework reduces average delays by 37.5% and reduces probability of congestion by 20%. These advancements highlight the framework’s robust adaptability in multi-accident scenarios, and make it a practical solution for real-time traffic management in complex urban networks.

Keywords: Immuneclone annealing algorithm; Accident section; Traffic diversion; Traffic network model; Improve support vector machines; Cuckoo search algorithm

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