The Impact of Motorcycle Positioning on Start-Up Lost Time: The Empirical Case Study of Signalized Intersections in Marrakech using VISSIM
Received: 25 February 2024 | Revised: 15 March 2024 | Accepted: 25 March 2024 | Online: 1 June 2024
Corresponding author: Ayoub Charef
Abstract
This study explores the influence of a high percentage of motorcycles on the traffic flow and congestion in Marrakech by examining the impact of motorcycle positioning in shaping urban traffic dynamics, in particular, the start-up lost time at signalized intersections. Different motorcycle positioning strategies are analyzed to improve intersection efficiency and safety. A twofold approach was followed to achieve this objective. First, empirical data were collected using computer vision techniques. Second, different strategies were simulated in VISSIM based on the collected data. The approach adopted for data collection was based on mobile phone video recording at a representative signalized intersection in Marrakech, capturing traffic behaviors during four distinct time periods. Then the YOLOv8 algorithm was employed for real-time object detection and analysis, allowing precise monitoring of motorcycle positioning and examining its influence on the start-up lost time. Afterwards, VISSIM simulations were implemented, on the basis of the collected data, to explore various scenarios, such as motorcycles sharing lanes with cars or dedicated motorcycle lanes. The results reveal a compelling correlation between motorcycle proximity to cars and traffic congestion, with closer positioning leading to increased congestion, longer travel times, reduced average vehicle speeds, and extended queue lengths at intersections. On the contrary, scenarios with dedicated motorcycle lanes consistently show reduced congestion and smoother traffic flow.
Keywords:
traffic simulation, travel time, start-up lost time, traffic flow analysis, motorcycle positionDownloads
References
P. Pongprasert and H. Kubota, "Switching from motorcycle taxi to walking: A case study of transit station access in Bangkok, Thailand," IATSS Research, vol. 41, no. 4, pp. 182–190, Dec. 2017.
D. N. Huu and V. N. Ngoc, "A Two-Level Desired Load Profile Tracking Algorithm for Electric Two-Wheeler Charging Stations," Engineering, Technology & Applied Science Research, vol. 11, no. 6, pp. 7814–7823, Dec. 2021.
S. Solaiappan, B. R. Kumar, N. Anbazhagan, Y. Song, G. P. Joshi, and W. Cho, "Vehicular Traffic Flow Analysis and Minimize the Vehicle Queue Waiting Time Using Signal Distribution Control Algorithm," Sensors, vol. 23, no. 15, Jan. 2023, Art. no. 6819.
Q. Luo, J. Yuan, X. Chen, S. Wu, Z. Qu, and J. Tang, "Analyzing start-up time headway distribution characteristics at signalized intersections," Physica A: Statistical Mechanics and its Applications, vol. 535, Dec. 2019, Art. no. 122348.
M. Almallah, R. Alfahel, Q. Hussain, W. K. M. Alhajyaseen, and C. Dias, "Empirical evaluation of drivers’ start-up behavior at signalized intersection using driving simulator," Procedia Computer Science, vol. 170, pp. 227–234, Jan. 2020.
H. Yao, X. Qu, and Y. Chen, "Research on Start-Up Behavior and Capacity at Signal Intersection in Vehicle Interconnection Environment," in International Conference on Transportation and Development, Aug. 2020, pp. 62–74.
W.-L. Jin and A. Morales Fresquet, "Evaluating the Impacts of Start-Up and Clearance Behaviors in a Signalized Network: A Network Fundamental Diagram Approach," ITS Irvine, UC-ITS-2018-12, Apr. 2019.
P. Çalişkanelli and S. Tanyel, "Investigating the driver’s response time at signalized intersections," Transport, vol. 33, no. 2, pp. 380–388, Jan. 2018.
R. Abdulla, B. Qader, and K. Sdiq, "Traffic Accident Traits and Driver Characteristics Implication on Road Accidents using Descriptive Analysis: A Cross Sectional Study in Sulaymaniyah, Iraq," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10372–10376, Apr. 2023.
M. Shawky, A. Al-Ghafli, and H. Al-Harthi, "An Analysis of the Start-up Delay and Safety for Signalized Intersections: Impact of Left-Turn Phasing Sequences," in Advances in Human Aspects of Transportation, 2017, pp. 205–218.
Y. S. Murat, S. Kutluhan, and Z. Cakici, "Investigation of Cyclic Vehicle Queue and Delay Relationship for Isolated Signalized Intersections," Procedia - Social and Behavioral Sciences, vol. 111, pp. 252–261, Feb. 2014.
V. Wickramasinghe, W. Nanayakkara, and S. Jayatilleke, "Loss Time Estimation at Signalized Intersections Due to Heterogeneous Traffic Conditions," in Proceedings of 8th International Conference on Transportation Systems Engineering and Management, Calicut, India, 2021, pp. 26–27.
H. Ospina-Mateus, L. Quintana Jiménez, and F. J. López-Valdés, "Analyzing traffic conflicts and the behavior of motorcyclists at unsignalized three-legged and four-legged intersections in Cartagena, Colombia," Accident Analysis & Prevention, vol. 191, Oct. 2023, Art. no. 107222.
I. M. Kariyana, P. A. Suthanaya, D. M. P. Wedagama, and I. M. A. Ariawan, "The Saturated Flow Modeling on Motorcycle Behavior Based on Through Movements at Signalized Intersections," Civil Engineering and Architecture, vol. 9, no. 4, pp. 1189–1197, Jul. 2021.
T. Promraksa, T. Satiennam, W. Satiennam, P. Kaewwichian, and N. Kronprasert, "Factors Influencing Stopping Locations of Motorcycle Riders on Signalized Urban Intersection Approaches," Sustainability, vol. 14, no. 22, Jan. 2022, Art. no. 15236.
B. N. Matcha, S. Sivanesan, K. C. Ng, and S. Y. Eh Noum, "Modelling integrated movements of motorcycles at urban merge sections under mixed traffic conditions," Transportmetrica B: Transport Dynamics, vol. 10, no. 1, pp. 441–467, Dec. 2022.
S. Medis and A. Purba, "Effects of motorcycles properties to queue length at signalized intersection with Vissim Software," IOP Conference Series: Materials Science and Engineering, vol. 420, no. 1, Jun. 2018, Art. no. 012012.
T. Saidani, "Deep Learning Approach: YOLOv5-based Custom Object Detection," Engineering, Technology & Applied Science Research, vol. 13, no. 6, pp. 12158–12163, Dec. 2023.
S. B. Neamah and A. A. Karim, "Real-time Traffic Monitoring System Based on Deep Learning and YOLOv8," ARO-The Scientific Journal of Koya University, vol. 11, no. 2, pp. 137–150, Nov. 2023.
Downloads
How to Cite
License
Copyright (c) 2024 Ayoub Charef, Zahi Jarir, Mohamed Quafafou
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
