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With MetroCount vehicle classification data gathered at a bidirectional location, it is possible to isolate groups of vehicles at the survey location that passed each other from opposite directions. These crossing vehicle groups can be displayed or reported as “Conflicting Events per Hour” (or any other time step) and then used to separately calculate the proportion of conflicts per time step (e.g. “potential conflicts per hour”, or “per day”, etc). This is a reasonably straightforward process involving modifying the standard classification algorithm to isolate the conflicting (i.e. closely spaced) bidirectional vehicles, then drop these events into a spreadsheet along with the total vehicle flow over the same period.
We would be interested to help further, as this clearly has an implication for hazard analysis. Can you tell us more about your project? Are you able to provide the dataset, including precise location details (lat, long)? Would you like MetroCount to assist further by conducting the analysis for you?
All the best for Christmas and we look forward to hearing from you soon.
Hi, thanks for your query. We will prepare and send a detailed response soon.
The MC5600 system does not measure vehicle weight directly. Any report that optionally displays vehicle weight is instead giving an “estimate” of vehicle weight based upon known weights. The weight information used in these reports comes from data you supply to the Report Profile (to see more information about entering Estimated Mass values, click here…).
When applying vehicle mass data, be sure that the mass values you’re using for each vehicle class correspond to the same vehicles in the classification scheme you’re using with the MC5600 reports.
The idea behind these “estimated mass” reports is that you can easily apply weights that you’ve gathered using another system (e.g. a weigh-in-motion system) and apply these statistics to the short-term survey data you gather with your MC5600’s at other locations. This method assumes that vehicle weight is reasonably consistent across the region being studied.
Thanks for providing more information. Wow! That is a lot of datasets! It shows you how much data can be accumulated with MetroCount equipment over many years by a national road authority, and you can re-analyse historical data anytime in the future to look at different things.
I will ask Maurice, MetroCount’s Technical Sales Specialist, to get in touch with you directly to discuss how we can upgrade your data. We will find a way to do this, as MetroCount is generally very supportive of universities, technical institutions and students conducting traffic-related research.
Thanks for your query. Yes you are correct: to operate with scripts, all datasets must be batch-enabled, either generated from a batch-enabled logger or via a signature upgrade. The signature level is displayed in the analysis software’s File Tree, and you can sort by this column.
Once you have determined how many datasets require a signature upgrade, please let us know and we can further discuss your upgrade options.November 18, 2013 at 6:17 am in reply to: Spurious Hits on a Bidirectional 2-lane carriageway #999
Thanks for posting your query on MetroCount’s new Forum!
As bi-directional volume increases, so does the likelihood of simultaneous bidirectional vehicles crossing your sensors. And as vehicles’ speeds are derived from the time it takes for a vehicle to cross the tubes, classification algorithms can become confused if vehicles from the opposite direction interfere with the “clean” recording of axles.
It would be great to get a copy of your dataset with the spurious speeds, as I could take a look at it and provide you with some more specific comments. To send me a copy, you can upload it using our support form or attach it to an email to firstname.lastname@example.org
Also, consider using Profile settings to exclude spurious high speeds from your analysis.
While it’s important that we understand the cause and effect of the spurious hits, if you’re looking at the dataset as a whole, the occasional spurious speed may not have much statistical impact, especially if you’ve gathered many thousands of good vehicle records. Again, I can comment further after examining your particular dataset.
As a time-stamping system, MetroCount uses advanced algorithms to determine vehicle speeds and classes. If the sequence of axles is interrupted by an oncoming vehicle, the sequence of vehicles may be tagged as “Coerced” in the Individual Vehicles report. You can modify the Algorithm to choose what to do with the Coerced Sequences, but the best solution is to avoid them when possible.
To do this, consider using a logger for each direction. As you probably know, the MTE analysis software supports multi-dataset analysis, so two datasets from opposite lanes can be processed together.
- This reply was modified 7 years, 3 months ago by Vern Bastian.
Hi again Jason
Just a further comment on this… Whilst the above solution allows you to speed up your data processing using existing software features, if you have many datasets to process the same way, you may reach some point where even this process is not fast enough for you. This is where MetroCount’s “Batch” option comes into the picture.
The “Batch” option is a Signature Level (like the “Base”, “Regular” and “Plus” Levels), which enables automated data processing via Scripts. Using a script with Batch-enabled datasets (i.e. datasets gathered from a Batch Level logger or signed by MetroCount), you can add commands to scan a folder for MetroCount datasets, have the analysis software automatically produce any “Plus” level reports you like using any Profiles you may choose, then save or print the reports.
Let us know if you’d like to learn more about the Batch option for your loggers.
Thanks for your query. With the MetroCount analysis software, you generally will only process datasets as a group in one report if they form a contiguous time series or overlap in some way (e.g. datasets across multiple lanes).
If you are wanting to produce the same report format but for datasets from different locations and different times, you can make use of the “Cloning” feature:
- Load all the datasets you want to analyse (i.e. make sure they’re all visible in the File Management List).
- Produce the first report for the first dataset.
- When the report displays, click the “Clone” button in the top tool bar. This will create an exact copy of the first report.
- Right-click the new report, then in the pop-up menu, click Datasets… This will bring up the File Management list.
- Untag the current dataset, then tag the next dataset. The report will recalculate using the new dataset.
- Repeat steps 3, 4 and 5 for as many datasets as you’ve loaded.
- When you’ve produced all your reports, just print and close them one at a time.
I find this process allows me to produce a significant number of traffic reports from different sites very quickly. Once you figure out the Cloning and swapping datasets process, you’ll be surprised at how quickly you can power through your data processing tasks.
I hope this helps, please get back and let me know. If you have any trouble figuring it out, get in touch and I’ll get one of the support team members to call and walk you through the process.
It is really straightforward, though.