Case Studies
Sep 21, 2021

Design of Traffic-Signal Progression for the Modern Streetcar: Case Study of Qilin Line One, Nanjing, China

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 12

Abstract

Mass streetcars operating record data used in a proper way can reveal the operational characteristics of streetcars to the full extent. This paper aims to design the traffic-signal progression for the modern streetcar by mining and analyzing these data. Each unit in the study consists of two adjacent signalized intersections. The k-means clustering algorithm is used to cluster the streetcar travel time data between two intersections and to determine whether the streetcar has stopped waiting for a red light at an intersection or not. An offset calculation model for streetcars is proposed to lower the impact of the conventional transit signal priority (TSP) for streetcars on motor vehicles. A real-world case study of Line One of the Nanjing, China, Qilin modern streetcar shows that the traffic-signal progression design proposed in this paper can reduce the conventional TSP’s negative impacts on motor vehicles by about 20%.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

The author declares that some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Grateful acknowledgement is made to Duolun Technology Corporation Ltd., which provided data and experimental platform.

References

Al-Deek, H., A. Sandt, A. Alomari, and O. Hussain. 2017. “A technical note on evaluating the effectiveness of bus rapid transit with transit signal priority.” J. Intell. Transp. Syst. 21 (3): 227–238. https://doi.org/10.1080/15472450.2017.1286987.
Cerreto, F., B. F. Nielsen, O. A. Nielsen, and S. S. Harrod. 2018. “Application of data clustering to railway delay pattern recognition.” J. Adv. Transp. 2018 (Apr): 1–18. https://doi.org/10.1155/2018/6164534.
China Association of Metros. 2018. “2017 annual statistics and analysis report of urban rail transit.” Accessed April 8, 2018. https://www.camet.org.cn/tjxx/4513.
Gao, S., Y. Wang, J. Cheng, Y. Inazumi, and Z. Tang. 2016. “Ant colony optimization with clustering for solving the dynamic location routing problem.” Appl. Math. Comput. 285 (Jul): 149–173. https://doi.org/10.1016/j.amc.2016.03.035.
Hu, J., B. B. Park, and Y. J. Lee. 2016. “Transit signal priority accommodating conflicting requests under connected vehicles technology.” Transp. Res. Part C Emerging Technol. 69 (Aug): 173–192. https://doi.org/10.1016/j.trc.2016.06.001.
Hua, X., W. Wang, Y. Wang, and Z. Pu. 2017. “Optimizing phase compression for transit signal priority at isolated intersections.” Transport 32 (4): 386–397. https://doi.org/10.3846/16484142.2017.1345787.
Islam, M. T., J. Tiwana, A. Bhowmick, and T. Z. Qiu. 2016. “Design of LRT signal priority to improve arterial traffic mobility.” J. Transp. Eng. 142 (9): 04016034. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000831.
Li, R., P. J. Jin, and B. Ran. 2016a. “Biobjective optimization and evaluation for transit signal priority strategies at bus stop-to-stop segment.” Math. Probl. Eng. 2016 (1925): 1–12. https://doi.org/10.1155/2016/1054570.
Li, R., C. Zheng, and W. Li. 2016b. “Optimization model of transit signal priority control for intersection and downstream bus stop.” Math. Probl. Eng. 2016 (Feb): 1–8. https://doi.org/10.1155/2016/9487190.
Liu, G., and T. Z. Qiu. 2016. “Trade-offs between bus and private vehicle delays at signalized intersections: Case study of a multiobjective model.” Transp. Res. Rec. 2539 (1): 72–83. https://doi.org/10.3141/2539-09.
Nguyen-Phuoc, D. Q., G. Currie, C. D. Gruyter, and W. Young. 2017. “Net impacts of streetcar operations on traffic congestion in Melbourne, Australia.” Transp. Res. Rec. 2648 (1): 1–9. https://doi.org/10.3141/2648-01.
Rousseeuw, P. J. 1987. “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis.” J. Comput. Appl. Math. 20 (Nov): 53–65. https://doi.org/10.1016/0377-0427(87)90125-7.
Shi, J., Y. Sun, P. Schonfeld, and J. Qi. 2017. “Joint optimization of tram timetables and signal timing adjustments at intersections.” Transp. Res. Part C Emerging Technol. 83 (Oct): 104–119. https://doi.org/10.1016/j.trc.2017.07.014.
Song, X., M. Yuan, D. Liang, and L. Ma. 2018. “Optimization method for transit signal priority considering multirequest under connected vehicle environment.” J. Adv. Transp. 2018 (Jun): 1–10. https://doi.org/10.1155/2018/2935248.
Song, Y., M. Zlatkovic, and R. J. Porter. 2016. “Evaluation of GPS-based transit signal priority for mixed-traffic bus rapid transit.” Transp. Res. Rec. 2539 (1): 30–39. https://doi.org/10.3141/2539-04.
Tang, J., F. Liu, Y. Zou, W. Zhang, and Y. Wang. 2017. “An improved fuzzy neural network for traffic speed prediction considering periodic characteristic.” IEEE Trans. Intell. Transp. Syst. 18 (9): 2340–2350. https://doi.org/10.1109/TITS.2016.2643005.
Thorndike, R. L. 1953. “Who belongs in the family?” Psychometrika 18 (4): 267–276. https://doi.org/10.1007/BF02289263.
Wang, B., W. Wang, X. Hu, and X. Li. 2015. “A segmented signal progression model for the modern streetcar system.” Discrete Dyn. Nat. Soc. 2015 (2006): 1–10. https://doi.org/10.1155/2015/763565.
Wu, K., S. I. Guler, and V. V. Gayah. 2017. “Estimating the impacts of bus stops and transit signal priority on intersection operations: Queuing and variational theory approach.” Transp. Res. Rec. 2622 (1): 70–83. https://doi.org/10.3141/2622-07.
Xu, M., Z. Ye, H. Sun, and W. Wang. 2016. “Optimization model for transit signal priority under conflicting priority requests.” Transp. Res. Rec. 2539 (1): 140–148. https://doi.org/10.3141/2539-16.
Yang, M., J. Ding, W. Wang, and Y. Y. Ma. 2018. “A coordinated signal priority strategy for modern trams on arterial streets by predicting the tram dwell time.” KSCE J. Civ. Eng. 22 (2): 823–836. https://doi.org/10.1007/s12205-017-1187-4.
Yao, Y., X. Li, X. Liu, P. Liu, Z. Liang, J. Zhang, and K. Mai. 2017. “Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.” Int. J. Geog. Inf. Sci. 31 (4): 825–848. https://doi.org/10.1080/13658816.2016.1244608.
Zhao, X., Y. Li, S. Xu, and H. Zhai. 2018. “Modeling a modern tram system integrated with a road traffic simulation.” Simulation 94 (1): 77–90. https://doi.org/10.1177/0037549717734420.
Zhou, Y., S. Jia, B. Mao, T. K. Ho, and W. Wei. 2016. “An arterial signal coordination optimization model for trams based on modified AM-BAND.” Discrete Dyn. Nat. Soc. 2016 (1181): 1–10. https://doi.org/10.1155/2016/5028095.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 12December 2021

History

Received: Jan 5, 2021
Accepted: Aug 2, 2021
Published online: Sep 21, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 21, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Intermediate Engineer, Chongqing Municipal Research Institute of Design Co., Ltd., 69 Yanghe 2nd Rd., Jiangbei District, Chongqing 400020, China. ORCID: https://orcid.org/0000-0001-6755-7346. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Design of Network Green Bands Considering Trams, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.0000765, 148, 12, (2022).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share