厦门理工学院学报
廈門理工學院學報
하문리공학원학보
Journal of Lujiang University
2015年
5期
17-21
,共5页
林雨平%伍雄斌%肖林盛
林雨平%伍雄斌%肖林盛
림우평%오웅빈%초림성
公共交通%灰色模型%运行时间
公共交通%灰色模型%運行時間
공공교통%회색모형%운행시간
public transportation%gray model%travel time
针对城市公交系统的复杂性和随机性,应用灰色理论建立了公交车运行时间的多变量灰色预测模型(MGM(1,n)),对晴天高峰时段、雨天高峰时段和平峰时段的公交车运行时间进行预测。预测结果表明:不同时段公交车运行时间预测的平均相对误差均在5%以内,模型精度等级符合预测要求。
針對城市公交繫統的複雜性和隨機性,應用灰色理論建立瞭公交車運行時間的多變量灰色預測模型(MGM(1,n)),對晴天高峰時段、雨天高峰時段和平峰時段的公交車運行時間進行預測。預測結果錶明:不同時段公交車運行時間預測的平均相對誤差均在5%以內,模型精度等級符閤預測要求。
침대성시공교계통적복잡성화수궤성,응용회색이론건립료공교차운행시간적다변량회색예측모형(MGM(1,n)),대청천고봉시단、우천고봉시단화평봉시단적공교차운행시간진행예측。예측결과표명:불동시단공교차운행시간예측적평균상대오차균재5%이내,모형정도등급부합예측요구。
Public transport is an important means of transportation for residents and advanced public transportation system includes good prediction of bus travel time that promises efficiency for residents'travel. Aiming at the randomness and complexity of the public transportation the multi?variable gray prediction model MGM 1 n was built based on the gray theory and tested for its accuracy in predicting the bus travel time at peak hours on sunny days and rainy days and at non?peak hours. The results show that the average relative error of the model is less than 5% and the level of accuracy meets the requirement.