Call for Paper 25 June, 2024. Please submit your manuscript via online system or email at

ISSN E 2409-2770
ISSN P 2521-2419

Evaluation of Ramp Metering Control on Urban Expressway in Cairo

Vol. 6, Issue 01, PP. 27-32, January 2019


Keywords: Ramp metering, Microsimulation, VISSIM, Fixed-time control

Download PDF

Uncontrolled on-ramp merging section is considered as a bottleneck at several locations on urban expressways in Greater Cairo Region (GCR). This study aims to evaluate the impacts of applying ramp metering control on the traffic performance at three critical on-ramp sites on the 6th of October corridor using VISSIM. The simulation models were calibrated using the traffic data collected during peak period. Two different control strategies were tested; fixed-time ramp metering and actuated control for both mainline and on-ramp traffic, and compared to “no control” using average speed, average vehicle delay and on-ramp queue length as performance measures. The results indicated that fixed-time ramp metering could improve the overall traffic performance at merging sections by increasing the speed up to 100% and reducing the average vehicle delay up to 50%. However, fixed-time ramp metering control results in on-ramp queue spillback onto adjacent roads at some sites due to insufficient ramp storage length and huge on-ramp volumes. In this case, the actuated control strategy showed significant improvements on traffic performance at both the mainline and on-ramp, in addition to the whole system by increasing the speed by 25%, reducing the average delay by 11%, and reducing the queue length by 35%.

  1. Salma H. Abu-Bakr, , Faculty of Engineering Ain Shams university, Egypt.
  2. Hatem Abdel-Latif, , Faculty of Engineering Ain Shams university, Egypt.
  3. Khaled El-Araby, , Faculty of Engineering Ain Shams university, Egypt.
  4. Mohamed Shawky, , Faculty of Engineering Ain Shams university, Egypt.

Evaluation of Ramp Metering Control on Urban Expressway in Cairo Salma H.Abu-Bakr Hatem Abdel-Latif Khaled El-Araby and Mohamed Shawky International Journal of Engineering Works Vol. 6 Issue 01 PP. 27-32 January 2019

[1]     Bank, W., Cairo Traffic Congestion Study : Final Report. 2013.

[2]     Hall, R., Handbook of transportation science. Vol. 23. 2012: Springer Science & Business Media.

[3]     Arnold, E., Ramp metering: A review of the literature. Technical report. 1998, Virginia Transportation Research Council, Charlottesville, VA (United States).

[4]     Sisiopiku, V.P., A. Das, and A. Sullivan, Applications of Freeway Ramp Metering in Alabama (No. UTCA Report 04203). 2005, University Transportation Center for Alabama.

[5]     Piotrowicz, G. and J. Robinson, Ramp Metering Status in North America: 1995 Update. 1995: U.S. Department of Transportation.

[6]     Jacobson, L., et al., Ramp management and control handbook (No. FHWA-HOP-06-001). 2006, United States. Federal Highway Administration.

[7]     Bertini, R.L., et al., Using Archived Data to Measure Operational Benefits of ITS Investments: Ramp Meters. 2004: Portland State University, Center for Transportation Studies, Research Report, p.15. p. 15.

[8]     Zhang, M., et al., Evaluation of On-ramp Control Algorithms. 2001, Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt83n4g2rq, Institute of Transportation Studies, UC Berkeley.

[9]     Ahn, S., et al., Evaluating benefits of systemwide adaptive ramp-metering strategy in Portland, Oregon. Transportation Research Record: Journal of the Transportation Research Board, 2007(2012): p. 47-56.

[10]  Masher, D.P., et al., Guidelines for design and operation of ramp control systems. 1975, Stanford Research Institute, Menid Park, CA.

[11]  Papageorgiou, M., H. Hadj-Salem, and J.-M. Blosseville, ALINEA: A Local Feedback Control Law for On-ramp Metering. Transportation Research Record, 1991. 1320, 58-64(1).

[12]  Jacobson, L.N., et al., Real-time Metering Algorithm for Centralized Control. 1989: Washington State Transportation Center.

[13]  Chu, L., et al. DEVELOPMENT OF A SIMULATION LABORATORY FOR EVALUATING RAMP METERING ALGORITHMS. in Transportation Research Board 81st Annual Meeting. 2002.

[14]  Abdelfatah, A., A. Ramadan, and G. Darwish, Utilizing Vissim to Evaluate Ramp Metering Performance. International Journal of Traffic and Transportation Engineering, 2012. 1(1): p. 1-6.

[15]  POORJAFARI, V. and W.L. YUE, Investigating the Impacts of Fixed-Time Ramp Metering through Microsimulation. Journal of the Eastern Asia Society for Transportation Studies, 2013. 10: p. 1824-1835.

[16]  Janota, A., et al., Ramp-Metering Algorithms Evaluated within Simplified Conditions. Civil and Environmental Engineering, 2017. 13(2): p. 112-119.

[17]  Lee, C., B. Hellinga, and K. Ozbay, Quantifying effects of ramp metering on freeway safety. Accident Analysis & Prevention, 2005. 38(2): p. 279-288.

[18]  Abdel-Aty, M., A. Dhindsa, and V. Gayah, Considering various ALINEA ramp metering strategies for crash risk mitigation on freeways under congested regime. Transportation research part C: emerging technologies, 2007. 15(2): p. 113-134.

[19]  Kesten, A.S., M. Ergün, and T. Yai, An analysis on efficiency and equity of fixed-time ramp metering. Journal of Transportation Technologies, 2013. 3(02): p. 48.

[20]  Mirbaha, B. and G. Eftekhari, Comparing Methods of Ramp Metering for On-Ramps to Improve the Operational Conditions at Peak Hours. International Journal of Transportation Engineering, 2018. 5(3): p. 301-318.

[21]  Hall, F.L., Traffic stream characteristics. Traffic Flow Theory. US Federal Highway Administration, 1996.