Dear Prof .Subhi 

Performance measures can have profound effects on the effectiveness

of transportation systems and services, Thus, When considering how to enhance the operational performance of the roadway network, many parameters will be used and it depends on the nature if your study such as ( Duration of congestion, (LOS), Recurring delay, Travel costs, Density, weather-related incidents, And many more ) 

You can check the attached report Prepared by Transportation Association of Canada

as a very good reference ( Especially page 15 ) 

http://www.tac-atc.ca/sites/tac-atc.ca/files/site/doc/resources/report-perf-measures.pdf

Dear Prof. Subhi

One of the major parameters for enhancing operational performance is the travel time and delay study, another issue is the LOS.

Dear Prof. Subhi

Vehicle category(LMV, HMV, Off-road, SUV and so on),

Time restriction,

Direction restriction and

Number of Inter-junctions

shall also be considered.

This is a very complex question. I (like Henk) am unsure about your precise meaning.

If you assume that you have a section of road with fixed dimensions (width, lane width, number of lanes) then it has a maximum vehicle capacity at any given speed. I do not think that this can be "enhanced" from this point, the capacity will be reduced in line with the list produced by Kolita. From this prospective you can only minimise the losses and cannot enhance the capability. To enhance the maximum capacity you will need to increase the road dimensions.

If your question is how to theoretically increase the flow without considering practical restrictions and safety implications then restrict the traffic classes, increase the minimum vehicle speed, reduce the gapping, increase the acceleration and deceleration capability and reduce the driver reaction rate (not a mistype, classic control theory - the system becomes unstable if the controller gain is too high). As stated, these are not practical solutions however they are very much the basis of motorway / interstate roads.  

Dear Prof. Subhi,

There are generally two types of variables those contribute to the operational conditions: quantitative and qualitative. Researchers often suggest to consider both of these two categories of variables. Traffic related variables comes under the category "Quantitative."

If u r focusing only on traffic related variables for any particular study then you may consider several variables like: peak hour traffic volume, speed, percentage of heavy vehicles, travel time, delay and network indicators such as total distance traveled (TDT) and total time spent (TTS) etc. But the important thing is that you have to select which variables are actually important (significant) in your context. There are numerous papers available on LOS and capacity analysis those can assist you in a better way.

Dear Colleagues:

The project employs genetic algorithm among others in intelligent traffic management. I thought it would be conducive to monitor queues at  intersections. determine average delay per vehicle and assess overall impact of traffic variable changes within the system. I appreciate all the interest expressed in this project and I am certain that our young researcher will find your comments and feedback very useful..

Thanks,

Dr. Bazlamit

Thanks,

Measuring and monitoring queues at intersections is quite difficult. Each sensor that you employ has a finite detection range and is affected by different problems e.g. false detection, environmental conditions, size / length of vehicles, vehicle emission deposits (soot). There is also a problem in determining whether a queue has changed and by how much. It is very easy to interpret a queue as below an important length (not reaching the detector position or visible capacity) or above the important length (which covers a range of exactly reaching the detector to extending out to infinity). In essence you can detect "no queue", "short queue" or "infinite queue" very easily but "long queue" and "increasing queue" is much more difficult. 

In my work I have tried to classify congestion in terms of the length of time that a traffic light shows a red signal for a given direction. While this does not directly relate to the queue length, and it is affected by the operating mode of the traffic light, it does give an indication of the minimum time that a journey will take along a given route. This can be compared against the expected journey time with all green signals. I have a project to use this information to direct traffic along alternative routes based on this information.

I hope this information is helpful. You are entering into a potentially long, involved and very interesting project.

Thanks Omar Mahmoud Albatayneh for sharing this reference.