Estimation method of average travel time for road sections

ZHANG He-sheng; ZHANG Yi; HU Dong-cheng

Volume 8 Issue 1

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2008 > 8(1): 89-96

Next Previous

ZHANG He-sheng, ZHANG Yi, HU Dong-cheng. Estimation method of average travel time for road sections[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 89-96.

Citation:

ZHANG He-sheng, ZHANG Yi, HU Dong-cheng. Estimation method of average travel time for road sections[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 89-96.

ZHANG He-sheng, ZHANG Yi, HU Dong-cheng. Estimation method of average travel time for road sections[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 89-96.

Citation:

ZHANG He-sheng, ZHANG Yi, HU Dong-cheng. Estimation method of average travel time for road sections[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 89-96.

PDF( 786 KB)

Estimation method of average travel time for road sections

1.
School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3.
Department of Automation, Tsinghua University, Beijing 100084, China

More Information

Author Bio:
Zhang He-sheng(1970-), male, PhD, associate professor, +86-10-51684052, hszhang@bjtu.edu.cn
Received Date: 2007-07-28
Publish Date: 2008-02-25

Abstract

Abstract

In order to availably utilize loop data and estimate the average travel time of road sections accurately and quickly, an estimation method of average travel time was proposed. Average travel time was divided into average running time, average queue delay and average crossing intersection time. Average running time was calculated by using average speed based on taking account of the installation type differences of loops. Piece-wise time homogeneous Poisson process was used to describe the arrival and departure processes of vehicles, Markov model was used to describe the queue process of vehicles, birth and death process was used to model vehicles' number in queue, and two kinds of average queue times with initial queue and no initial queue were computed. Average crossing intersection time was computed based on average vehicle length and saturation volume rate at intersection. Computation result shows that the relative error between the measure value and computation value of average travel time is less than 12%, so the method is feasible.
- intelligent transportation systems,
- average travel time,
- loop data,
- Markov queue model,
- Poisson process

FullText(HTML)

References(14)

References

[1]	Yang Zhao-sheng. Study on the synthetic link travel time prediction model of key theory of ITS[J]. Journal of Traffic and Transportation Engineering, 2001, 1(1): 65-67. (in Chinese) doi: 10.3321/j.issn:1671-1637.2001.01.017
[2]	Chien S I, Kuchipudi C M. Dynamic travel time prediction with real-time and historic data[J]. Journal of Transportation Engineering, 2003, 129(6): 608-616. doi: 10.1061/(ASCE)0733-947X(2003)129:6(608)
[3]	Dharia A, Adeli H. Neural network model for rapid forecasting of freeway link travel time[J]. Engineering Applications of Artificial Intelligence, 2003, 16(7/8): 607-613.
[4]	Zhu Zhong, Yang Zhao-sheng. Areal-time travel time estimation model based on BP neural network[J]. Systems Engineering—Theory & Practice, 1999, 19(9): 74-78. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL199909009.htm
[5]	Dailey D J. Travel-time estimation using cross-correlation techniques[J]. Transportation Research Part B, 1993, 27(2): 97-107. doi: 10.1016/0191-2615(93)90002-R
[6]	Xu Meng, Shi Zhong-ke. Behavior of traffic outflows under description of quadratic link travel time model[J]. China Journal of Highway and Transport, 2006, 19(3): 77-81. (in Chinese) doi: 10.3321/j.issn:1001-7372.2006.03.014
[7]	Nam D H, Drew D R. Traffic dynamics: method for estimating freeway travel times in real time from flow measurements[J]. Journal of Transportation Engineering, 1996, 122(3): 185-191. doi: 10.1061/(ASCE)0733-947X(1996)122:3(185)
[8]	Ran B, Rouphail N M, Tarko A, et al. Towards a class of link travel time functions for dynamic assignment models on signalized networks[J]. Transportation Research Part B, 1997, 31(4): 277-290. doi: 10.1016/S0191-2615(96)00036-7
[9]	Rong Jian, He Min, Chen Chun-mei. Dynamic model of calculating queue length at signalized intersection[J]. China Journal of Highway and Transport, 2002, 15(3): 101-103. (in Chinese) doi: 10.3321/j.issn:1001-7372.2002.03.024
[10]	Athol P. Interdependence of certain operational characteristics within a moving traffic stream[J]. Highway Research Re-cord, 1965, 72: 58-87.
[11]	Dailey D J. A statistical algorithm for estimating speed from single loop volume and occupancy measurements[J]. Trans-portation Research Part B, 1999, 33(5): 313-322. doi: 10.1016/S0191-2615(98)00037-X
[12]	Wang Yin-hai, Nihan N L. Can single-loop detectors do the work of dual-loop detectors?[J]. Journal of Transportation Engineering, 2003, 129(2): 169-176. doi: 10.1061/(ASCE)0733-947X(2003)129:2(169)
[13]	Zhang He-sheng, Zhang Yi, Wen Hui-min, et al. Estimamtion approaches of average link travel time using GPS data[J]. Journal of Jilin University: Engineering and Technology Edition, 2007, 37(3): 533-537. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY200703010.htm
[14]	张和生. 基于多源数据的交通状态分析方法研究[D]. 北京: 清华大学, 2006.