城市信号控制路网中的路段行程时间估计方法

何兆成; 赵建明; 王镇波; 韦清波

城市信号控制路网中的路段行程时间估计方法

中山大学智能交通研究中心，广东广州 510275

基金项目:

“十一五”国家科技支撑计划项目 2006BAG01A04

详细信息

作者简介:
何兆成(1978-)，男，广东梅县人，中山大学讲师，工学博士，从事智能交通系统研究

中图分类号: U491.1
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出版历程
- 收稿日期: 2008-03-12
- 刊出日期: 2008-08-25

Travel time estimation method in urban road network with signal control

ITS Research Center, Sun Yat-sen University, Guangzhou 510275, Guangdong, China

More Information

Author Bio:
HE Zhao-cheng(1978-), male, lecturer, PhD, +86-20-39332772, hezhch@mail.sysu.edu.cn

摘要

摘要: 为了精确检测城市信号控制路网中的路段动态行程时间, 分析了路段流量受交通信号控制策略影响的波动规律, 提出了基于交通量图偏移的路段行程时间计算方法。研究了不同断面交通量图的相似性, 根据最大相似度时交通量图的偏移, 计算了断面间路段动态行程时间, 并与调查结果进行了比较。比较结果表明: 在城市路网封闭路段, 平峰、高峰的不同时间长度内(5、10、20 min), 平均行程时间最大平均相对误差为7.1%, 因此, 计算方法可行。
- 交通控制 /
- 信号控制路网 /
- 交通量图 /
- 行程时间估计
Abstract: In order to precisely monitor the dynamic travel time in urban road network with signal control, the fluctuation rule of traffic volume affected by signal control strategy was analyzed, and a travel time estimation method based on traffic volume diagram offset was proposed.The similarity of traffic volume diagrams under different cross sections was analyzed, the dynamic travel time between cross sections was computed according to the offset of traffic volume diagram when the maximum similarity was reached, and it was compared with the field survey data.Comparison result indicates that the maximum mean relative error of mean travel time is 7.1% for different time lengths (5, 10, 20 min) during peak and non-peak periods at the closed road segments of urban road network, so the method is feasible.
- traffic control /
- road network with signal control /
- traffic volume diagram /
- travel time estimation

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图 1 信号控制封闭路段

Figure 1. Closed road segment with signal control

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图 2 A断面交通量

Figure 2. Traffic volume at A section

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图 3 B断面交通量

Figure 3. Traffic volume at B section

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图 4 偏移前交通量

Figure 4. Traffic volumes before excursion

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图 5 偏移后交通量

Figure 5. Traffic volumes after excursion

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表 1 平峰时段计算结果

Table 1. Computation results during non-peak period

时间间隔/s	5 min数据(行程时间真值为28.4 s)		10 min数据(行程时间真值为27.9 s)		20 min数据(行程时间真值为28.8 s)
时间间隔/s	计算结果/s	误差/%	计算结果/s	误差/%	计算结果/s	误差/%
5	26.7	5.9	26.3	5.7	27.2	5.6
10	28.4	0.0	29.2	4.7	29.0	0.7
15	33.8	19.0	31.5	12.9	30.9	7.3
20	31.0	9.2	30.0	7.5	27.6	4.2
均值/s	30.0		29.3		28.7
均值误差/%	5.6		5.0		0.3

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表 2 高峰时段计算结果

Table 2. Computation results during peak period

时间间隔/s	5 min数据(行程时间真值为29.6 s)		10 min数据(行程时间真值为29.4s)		20 min数据(行程时间真值为29.7s)
时间间隔/s	计算结果/s	误差/%	计算结果/s	误差/%	计算结果/s	误差/%
5	29.4	0.7	28.8	2.0	28.1	5.4
10	30.9	4.4	30.8	4.8	29.1	2.0
15	32.4	9.5	31.0	5.4	29.6	0.3
20	34.0	14.9	32.0	8.8	29.4	1.0
均值/s	31.7		30.7		29.1
均值误差/%	7.1		4.4		2.0

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