SEEK: Salford Environment for Expertise and Knowledge

Journal Article (Refereed)
March 2012

'Microsimulation model for motorway merges with ramp-metering controls

Al-Obaedi, J & Yousif, S 2012, ''Microsimulation model for motorway merges with ramp-metering controls', IEEE Transactions on Intelligent Transportation Systems, 13(1), pp.296-306.


This paper presents a newly developed microsimulation model for motorway merge traffic, focusing on issues that relate to ramp-metering (RM) control and its effectiveness. The model deals with general and more specific drivers' behavioral tasks, such as the drivers' cooperative nature in allowing other drivers to merge in front of them either by decelerating or shifting to adjacent lanes. The main criteria of this model are governed by the application of car-following, lane-changing, and gap-acceptance rules. The model has been calibrated and validated mainly using real traffic data taken from loop detectors for two-, three-, and four-lane motorways. Compared with the S-PARAMICS software, using the same data, the model showed better results. The effectiveness of some of the widely used RM control algorithms, such as Demand-Capacity, ALINEA, and ANCONA, were also assessed after finding the optimum parameters (such as critical occupancy and position of loop detectors).


The usefulness of this paper stems from the fact that it describes in details the assumptions used in modelling ramp metering controls which are widely used these days on busy motorways to alleviate congestion and ensure smooth traffic operations. These assumptions were presented in detailed flowcharts to help practitioners replicate the microsimulation model to decide on the best options for triggering traffic signals controls at motorway ramp merge sections.
Journal Impact factor for IEEE = 3.45


Number of external citations = 1




SEEK Members

External Authors

Jalal Al-Obaedi

Publication Details

Journal Name
IEEE Transactions on Intelligent Transportation Systems