my research starts from many real time data relating to traffic and congestion phenomenon on road network.
i need of specific mathematical approach that define variation of pollution emission through traffic data and enviromental aspect
dear Tiziana off course there are some mathematical equations that define variation of pollution emission. but they are so conditional dependent. i mean most of equations in this fields are made of regressions family. the parameter of this equations should be trained by your country data and standards. and this equations may not be suitable for your country.
so if you want to predict pollution emission with real time traffic data, you should also use some real time pollution data . please explain more about your research. what do you exactly want to work on? traffic assignment respect to pollution emissions? mode choice respect to pollution emissions? road pricing respect to pollution emissions? parking pricing respect to pollution emissions? dynamic light control respect to pollution emissions? just pollution emissions prediction?
if you specify you field of study more clearly i would help you some methods.
i want to use real time data related to traffic to output pollution concentration .i don t have pollution sensors but i want map the concentration of CO ed NOx on road network
I agree with Ali, there are equations. However, most, if not all of them, are calibrated under particular location conditions and traffic mix type. They may be used; but without high accuracy.
Ok. so i understood that you want to monitor the pollution respect to traffic congestion on city map. this can be happen with GIS . check this report.
http://www.esri.com/library/bestpractices/air-quality.pdf
another question. is your field of study a practical research or a theoretical one ?
i mean do you want to work on how we can monitoring pollution respect to traffic data? or you want to really make a system for it? if your work is theoretical as i think it is, you can suppose that emission will increase by traffic flow with linear emission rate
check
:http://www.geomet.uni-koeln.de/fileadmin/Dokumente/Arbeitsgruppen/Meteorologie/Shao__Yaping/pdfs/Xia_Shao_2005_air_pollution_HKG.pdf
also you can simulate your system by supposing emissions follow normal distribution increasing rate based on vehicles type!
if your research is theoretical and you want to use GIS to monitor the concentration of pollutions, then it is not important really what you suppose for your pollution emission equation because it can be replace by any thing any time and your system gonna work properly
but if you are designing a system practically to do that , you need to collect pollution data. believe me there is no other way wish i could help you some how
if you need more help وlet me know
thanks a lot
i just download the second file. My problem is not related to Gis but real time data of traffic that it is just use like congestion phenomenon map (on real time)
i want to compare different mathematical approach (linear and not) and COPERT too to define a scale related to pollution to output on map.
Dear Tiziana,
Without any pollution measurements from your location, the existing models cannot be accurate because they assume a certain fleet of vehicles and road network. What they assume is certainly not the same as your situation.
This problem is even more critical with real time data, where the characteristics of the fleet and the resulting pollution change with time (in our case, we only work with real-time data).
However, if you only need to use a tool in order to see the effect of congestion on pollution, then you can use existing software and make certain assumptions on the design of your road network and the fleet of vehicles.
Several software exist, see for example:
http://users.ugent.be/~bdcoense/content/data/pdf/conference/28_MadireddyTAP10.pdf
http://www.escholarship.org/uc/item/2ks86938#page-8
Please let me know if you need to discuss this further.
I have just a theoretical view on this, but at least at first order, the pollution in the air is proportional to the total time that cars spend on roads. If on a given segment, you know the number of cars, their average velocity, then you have a rough (but simple) estimate of pollution from traffic data (?)
Hi, Marc.
Your approach is right. It is the approach followed by traffic simulation models. As always, the devil is in the details. Estimating the number of cars and their average velocity in real time is what simulation tools try to do.
Alternatively, we get this type of information from floating car data in real time, and this is what we often do in our work. This is fine as long as we have enough cars sending the data.
I understand- thank you Yorgos for your comment. In large cities (such as Paris for example) at what point can we then trust traffic estimate given by apps such as google maps ?
Marc,
In large cities, busy roads (Blvd. Peripherique, for instance) can often get on-line after about one epoch, which usually means 9-12 months of floating car data are sufficient to build trust. But it also depends on recurring patterns, incidents, and the exact type of information we need.
Hi Tiziana, I'm writing in English since we're in an international forum. I believe that you need a model of pollution that takes into account the traffic parameters. Please check the attached file, it's a paper of mine, presented at SIDT meeting 2008 in Cosenza, entitled "Un modello integrato, di caricamento dinamico degli archi e di emissione di inquinanti, per la valutazione dell’inquinamento da traffico". Feel free to get in touch with me in case you've more questions.
Hi Tiziana, there are many models that can estimate emissions and fuel consumption rate. Some models are macroscopic models and some are microscopic models. Each model has pros and cons. Based on the input variables and output format, you can select a model. Popular models include: MOVES, CMEM, VT-Micro..
Article Estimating Vehicle Fuel Consumption and Emissions Based on I...
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