[1]宿梦梦,赵晓蕾,赵洪銮,等.多策略改进哈里斯鹰算法的交通信号配时优化[J].计算机技术与发展,2023,33(01):101-107.[doi:10. 3969 / j. issn. 1673-629X. 2023. 01. 016]
　SU Meng-meng,ZHAO Xiao-lei,ZHAO Hong-luan,et al.Improvement of Traffic Signal Timing Based on Harris Hawks Optimization Algorithm with Multiple Strategies[J].,2023,33(01):101-107.[doi:10. 3969 / j. issn. 1673-629X. 2023. 01. 016]
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多策略改进哈里斯鹰算法的交通信号配时优化()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
33
期数:
2023年01期
页码:
101-107
栏目:
软件技术与工程
出版日期:
2023-01-10

文章信息/Info

Title:
Improvement of Traffic Signal Timing Based on Harris Hawks Optimization Algorithm with Multiple Strategies
文章编号:
1673-629X(2023)01-0101-07
作者:
宿梦梦1 ; 赵晓蕾2 ; 赵洪銮1 ; 邹 炜1 ; 李晓君1
1. 山东建筑大学 计算机科学与技术学院,山东 济南 250101;
2. 山东建筑大学 建筑城规学院,山东 济南 250101
Author(s):
SU Meng-meng1 ; ZHAO Xiao-lei2 ; ZHAO Hong-luan1 ; ZOU Wei1 ; LI Xiao-jun1
1. School of Computer Science and Technology,Shandong Jianzhu University,Jinan 250101,China;
2. School of Architecture and Urban Planning,Shandong Jianzhu University,Jinan 250101,China
关键词:
信号配时; 改进哈里斯鹰算法; 混沌映射; 柯西函数; 随机噪声干扰
Keywords:
signal timing; Harris Hawks optimization algorithm; chaotic mapping; Cauchy function; random noise interference
分类号:
TP301. 6
DOI:
10. 3969 / j. issn. 1673-629X. 2023. 01. 016
摘要:
传统的交叉口信号配时大多只考虑车辆的通行效率,忽略了尾气排放造成的环境污染等问题。 从车辆的通行效益和环保的角度出发,建立以车辆延误、停车率、通行能力和尾气排放为优化指标的多目标非线性模型,提出一种基于改进哈里斯鹰算法( HHOG) 的求解方法。 针对传统哈里斯鹰算法( HHO) 存在收敛精度低、易陷入局部最优的问题,首先,引入混沌映射,提高种群多样性;其次,用柯西函数控制莱维飞行步长,实现平滑过渡;最后,加入随机噪声干扰,提高算法的变异能力和收敛速度。 利用 9 个标准测试函数进行实验,表明改进的哈里斯鹰算法能够提高寻优精度和收敛速度。 以典型交叉口为例,采用改进的哈里斯鹰算法求解交叉口信号配时优化问题,结果表明,在高峰时段使用该配时方案可以使车辆平均延误降低 48% ,尾气排放降低 43. 7% ,通行能力提高 34. 5% ;在低峰时段可以使车辆平均延误降低 24. 5% ,尾气排放降低 8. 9% ,通行能力提高 33. 1% ,通过对比实验验证了算法的有效性。
Abstract:
The traditional intersection signal timing mostly only considers the traffic efficiency of vehicles, ignoring the environmentalpollution caused by exhaust emissions. From the perspective of vehicle traffic efficiency and environmental protection,a multi-objectivenonlinear model with vehicle delay, parking rate, traffic capacity and exhaust emissions as optimization indexes is established, and asolution method based on improved Harris Hawks optimization algorithm ( HHOG ) is proposed. Aiming at the problems of lowconvergence accuracy and easy falling 　　into local optimum in traditional Harris Hawks optimization algorithm ( HHO) ,firstly, chaoticmapping is introduced to improve population diversity. Secondly,the step length of levy flight is controlled by Cauchy function to realizesmooth transition. Finally,random noise interference is added to improve the mutation ability and convergence speed of the algorithm.Experiments 　with 9 standard test functions show that the improved Harris Hawks optimization algorithm can improve the optimizationaccuracy and convergence speed. Taking a typical intersection as 　an example,the improved Harris Hawks optimization algorithm is usedto solve the intersection signal timing optimization problem. The results show that the average vehicle delay can be reduced by 48% ,theexhaust emission reduced by 43. 7% ,the traffic capacity increased by 34. 5% in the rush hour. The average vehicle delay can be reducedby 24. 5% , the exhaust emission reduced by 8. 9% , the traffic capacity increased by 33. 1% in the low peak period. Comparativeexperiments show the effectiveness of the proposed algorithm.

相似文献/References:

[1]赵 纯,董小明.基于深度 Q-Learning 的信号灯配时优化研究[J].计算机技术与发展,2021,31(08):198.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 034]
　ZHAO Chun,DONG Xiao-ming.Research on Signal Timing Optimization Based on Deep Q-Learning[J].,2021,31(01):198.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 034]

更新日期/Last Update: 2023-01-10