大学数学
大學數學
대학수학
COLLEGE MATHEMATICS
2012年
3期
87-91
,共5页
延误时间%信号配时与优化%非线性优化模型%遗传算法
延誤時間%信號配時與優化%非線性優化模型%遺傳算法
연오시간%신호배시여우화%비선성우화모형%유전산법
delay time%signal timing and optimization%nonlinear optimization model%genetic algorithm
为了缓解城市交通拥堵,建立以延误时间最短、停车次数最少为目标函数的非线性优化模型,用遗传算法进行计算求解.计算结果表明,所得的优化信号配时,降低了平均延误时间,减少了平均停车次数,提高了交叉口通行能力.
為瞭緩解城市交通擁堵,建立以延誤時間最短、停車次數最少為目標函數的非線性優化模型,用遺傳算法進行計算求解.計算結果錶明,所得的優化信號配時,降低瞭平均延誤時間,減少瞭平均停車次數,提高瞭交扠口通行能力.
위료완해성시교통옹도,건립이연오시간최단、정차차수최소위목표함수적비선성우화모형,용유전산법진행계산구해.계산결과표명,소득적우화신호배시,강저료평균연오시간,감소료평균정차차수,제고료교차구통행능력.
In order to relieve urban traffic congestion,this paper develops to delay time the shortest,parking least number for target function of nonlinear optimization model,using genetic algorithms are solving calculation.The calculation results show that the optimization,the signal timing,reduce the average delay time,reducing the average stops,improve the crossing transportation capacity.
