Image processing for traffic queue control

And traffic information service or the profit convenience for travelers and commodity distribution are also needed. Among the purposes of UTMS, especially the Integrated Traffic Management System ITCSis the development of a more optimum signal control algorithm which can correspond to the traffic situation that changes at every moment. To realize this, an advanced sensor which can collect more precise and more detailed traffic flow information is needed.

Image processing for traffic queue control

Place those processes to be executed immediately job requests in the high priority queue. Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.

Have the batch server dequeue and process messages from SQS. Set up Auto Scaling to automatically increase or decrease the number of batch servers, using the number of SQS messages, with CloudWatch, as the trigger to do so. AWS Certification Exam Practice Questions Questions are collected from Internet and the answers are marked as per my knowledge and understanding which might differ with yours.

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Which AWS service can help design architecture to persist in-flight transactions? Why is SQS an appropriate service for this scenario?

Usefulness of Image Processing in Urban Traffic Control - ScienceDirect

SQS guarantees the order of the messages. SQS synchronously provides transcoding output. SQS checks the health of the worker instances. Files containing data to be transformed are first uploaded to Amazon S3 and then transformed by a fleet of spot EC2 instances. Files submitted by your premium customers must be transformed with the highest priority.

How should you implement such a system? Use a DynamoDB table with an attribute defining the priority level. Transformation instances will scan the table for tasks, sorting the results by priority level. Use Route 53 latency based-routing to send high priority tasks to the closest transformation instances.

Use two SQS queues, one for high priority messages, and the other for default priority. Transformation instances first poll the high priority queue; if there is no message, they poll the default priority queue Use a single SQS queue. Each message contains the priority level. Transformation instances poll high-priority messages first.

You anticipate a large and undetermined amount of traffic that will create many database writes. To be certain that you do not drop any writes to a database hosted on AWS. Which service should you use? Amazon Simple Queue Service SQS for capturing the writes and draining the queue to write to the database Amazon ElastiCache to store the writes until the writes are committed to the database.

Amazon DynamoDB with provisioned write throughput up to the anticipated peak write throughput. The application is exhibiting undesirable behavior because the database is not able to handle the volume of writes. How can you reduce the load on your on-premises database resources in the most cost-effective way?

Modify the application to write to an Amazon SQS queue and develop a worker process to flush the queue to the on-premises database Modify the application to use DynamoDB to feed an EMR cluster which uses a map function to write to the on-premises database.

What can happen in this scenario? Which of the below mentioned operations is not supported by SQS? One of the consumers of queue is down for 3 days and then becomes available. Will that component receive message from queue?

If the user wants to perform some action on this queue, which of the below Queue URL should he use? There are four messages published to queue, which are not received by the consumer yet.A Paper presentation on.

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REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC – QUEUE DETECTION ALGORITHM Problem concerning any practical image processing application to road traffic is the fact that real world images are to be processed in real time. mainly based on back ground techniques.

Image processing for traffic queue control

methods of vehicle detection and timberdesignmag.comCT_____ This paper primarily aims at . At first, noise is removed from the road image (image pre-processing), then analyze the pre-processed image to determine the current traffic situation. Based on road image analysis, a signal will be sent to the traffic-lights control center to change the traffic condition.

Vehicle queue length is one of the important traffic parameters in intelligent traffic management system. Figure 8 is the intersection of the temple center line image of the lane and the image after processing, and the virtual queue length can be obtained which is the length between the Somani S () Instinctive traffic control and.

REAL-TIME IMAGE PROCESSING FOR ROAD TRAFFIC DATA EXTRACTION FROM AERIAL IMAGES D.

Image processing for traffic queue control

Rosenbaum, J. Leitloff, F. Kurz, O. Meynberg, and T. Reize DLR - German Aerospace Center, Remote Sensing Technology Institute. Image processing is a better solution to control the state change of the traffic light. It shows that it can decrease the traffic congestion and avoids the time being wasted by a green light on an empty road.

Key words - Population of city, Traffic congestion, Image processing, Traffic density, Adaptive Signal Controlling 1. INTRODUCTION prevent over waiting of vehicle in queue of other lanes which would be found out experimentally.

Controls of the Control System Using Image Processing.

Better design of queue lines