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Model Overview – Customer Service at a Border Crossing


Model Overview – Customer Service at a Border Crossing

New releases of AnyLogic come with new example models. These help newcomers understand simulations and experienced users to learn about AnyLogic’s advanced capabilities.

New to AnyLogic is our Border Checkpoint model. It is based on the same principles as classical queueing systems, such as those found in banks, shops, and medical centers.

In this post, we show how to model and analyze a variety of these business problems using the new border crossing model.

Revolutionizing intersection efficiency with connected vehicle technology


Revolutionizing intersection efficiency with connected vehicle technology

Connected vehicle technology is transforming how we manage traffic at intersections, improving efficiency and safety. A groundbreaking study by the University of Tennessee analyzed real-world data from Detroit, using advanced simulations to optimize traffic signal control. Results showed reduced delays and shorter queues, proving the potential of this innovative technology. Dive into the full case study to explore how connected vehicles are shaping the future of urban mobility.

Road Traffic Library Webinar Materials


Road Traffic Library Webinar Materials

Thank you for your interest in the Road Traffic Library Webinar on July 27th. We hope the webinar was interesting to you and met your expectations. If you were unable to attend the live webinar, you may access the recorded webinar and accompanying materials on the Educational Videos page of AnyLogic.com. Please let us know how we can enhance your webinar experience by completing this short survey. If you have further questions regarding the webinar material, please contact support@anylogic.com and we will promptly reply.

Road Traffic Simulation for City Planning: New AnyLogic Library in Action!


Road Traffic Simulation for City Planning: New AnyLogic Library in Action!

When planning new transfer hubs, developers need to verify the stations would provide expected passenger capacity, while city authorities have to learn how building a station would affect traffic in the area and public transfer load. Simulation modeling is a perfect instrument for solving such challenges. We covered, in a past blog, one of the models built for the Moscow Ring Railway project, passenger flow simulation at Cherkizovo transfer hub, where a station layout was tested at peak passenger loads. The project we are going to discuss today is another model of Moscow public transport system. We will talk about automobile traffic flow research at the transport hub of Volokolamskaya, done by ITS Consulting.

Improve Public Transit Bus Rider Satisfaction


Improve Public Transit Bus Rider Satisfaction

In public transport, bus bunching refers to a group of two or more transit vehicles (such as buses or trains), which were scheduled to be evenly spaced running along the same route, instead running in the same location at the same time, according to Wikipedia. Dave Sprogis, Volunteer Software Developer, and Data Analyst in Watertown, MA noticed a constant complaint from residents about bus service provided by the MBTA. On a route that advertises a bus “every 10 minutes or less” during rush hour, waits were frequently more than 30 minutes, sometimes an hour! As you probably assume, buses do not start out bunched — they start out evenly spaced according to the schedule that deploys them. However, as the buses run the route, some run a little faster while others run a little slower. There is variability in traffic lights, pedestrian crossings, numbers of passengers loading and unloading, or even differences in driver pace.