![]() ![]() By comparing the results with actual observed ship traffic data, our model shows that the behaviours and the characteristics of ships’ motions can be represented very well, which also can be further used to reveal the mechanism that affects the efficiency and safety of ship traffic. We demonstrate the effectiveness of our model, which is implemented through simulating ship traffic flow in a waterway of the Yangtze River, China. Secondly, the update rules for ships’ motion are built by considering safe distance and collision avoidance timing, in which ship operation and manoeuvrability are thoroughly considered. Firstly, a spatial-temporal discretisation method based on the concept of a standard ship is presented. To solve these problems, a novel traffic flow model is proposed. ![]() However, these components are difficult to determine in ship traffic simulations because the size, operation and manoeuvrability vary between ships. We'll see if I get around to it someday.In busy waterways, spatial-temporal discretisation, safe distance and collision avoidance timing are three of the core components of ship traffic flow modelling based on cellular automata. It wouldn't be very involved, but it would challenge the user to build a machine for a certain language and help them make the connections between these machines and regular expressions. Something I'd like to do in the future is to build a simple game around the site. I had fun creating the site and hopefully CS students will find it useful in developing their understanding of finite-state machines. You can debug a machine by stepping through an input and you can bulk test a large set of strings with a single button press. ![]() A small set of examples is included on the site. Or you can copy/paste machine descriptions to share with other people. You can save/load machines from your browser's local storage. Here we describe how an agent-based or dynamic cellular automata (DCA) approach can be used as a very simple, yet very general method to model many. ![]() I took my Python simulators, rewrote them in Javascript, and built a lovely UI around them. Right click (or simple tap) put or remove a wire. Despite it's simplicity, it allows to simulate advanced computers and is Turing complete Use. Then I'd encode each student's machine into my simulator, run a bunch of tests and figure out from there whether it worked and, if not, how badly it was wrong.Ī is a fully functional tool to visually create and test these types of machines. Sparkles are propagated along wires at each cycle. So to aid my grading I wrote a simple simulator in Python for each machine type. Drawing out machines, tracing through their execution, finding bugs, and making sure they did what they were supposed to without doing things they weren't supposed to.Īs the TA I had to grade a lot of these messily drawn machines that often didn't work. Well, we had to do all this work by hand. They're usually quite meaningless in and of themselves, but the point is to develop the skills necessary to understand how programming languages are created and why, as well as to hone the ability to logically analyze problems and build logically consistent solutions. Or, make a machine that will accept strings that have the same number of "A"s as "B"s. For example, make a machine that will accept strings that alternate between "A" and "B". This usually means developing a working automaton design based on some desired language recognition. In the CS course I TA'd for as a student, CS 252, a chunk of the course is devoted to working with these concepts. And Push-Down Automata (PDA) can process any Context-Free Grammars. For example, Deterministic Finite Automata (DFA) can be used to process any Regular Language (i.e., regular expressions, which are infinitely useful). They are equivalent to various useful language concepts. In Computer Science we study simple automatons called finite-state machines. ![]()
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