Crossroad simulation
- Project name: Crossroad simulation
- Class:4IT496 Simulation of Systems (WS 2014/2015) [1]
- Author: Bc. Jan Hudeček
- Model type: Agent-based simulation
- Software used: NetLogo 5.3.0
Contents
Problem definition
The simulated crossroad is meeting point of heavily used streets Sokolovska, Jecna and Legerova. We can see the situation on following map. The roads are crossed by a tram rail and there is also a subway and tram station near the crossroad. So we can expect high numbers of cars and pedestrians.
On the picture we can see 3 more little streets that will be simulated. On the crossroad, there are several traffic lights which are controlling the traffic. We are not taking into account that pedestrians can walk into stores or buildings and that cars can stop in parking spots. This should not affect the reality so much.
Method
NetLogo 5.2.1
This software is used because of each of the objects can make its own decisions.
Detailed description of the method
In the net logo, I created following model of the real crossroads.
- Black = Roads
- Blue = sidewalks
- Brown = tram rail
- Yellow = places where cars can turn
- Red = places where cars can change lane
- Black numbers = pedestrian spawn points
- Black letters = places, where pedestrians are making change of direction
- White letters A-F = pedestrian crossings with lights
- White numbers = traffic lights for cars
- White letters y,z = rail crossings
Agents
Pedestrians Pedestrians are using sidewalks (blue). They are randomly spawned on one of the number-marked points and their destination is also selected as random number. Then they are moving forward until they hit one of the letter-marked patch or their destination. On the letter-marked patches (decision points) they will decide, which direction they will go next. If they reach destination, they will die. If there is a crosswalk in front of them with red traffic light, they will wait for the green light. They will ignore red light, if they are already crossing the road. On the crosswalks without lights, they won’t stop (they take precedence). Variables
- speed – the distance that will agent travel in one tick. It’s also used as checking distance for lights
- destination – random number (1-14) marking the destination of the agent. Used for making decisions
- spawn-time – time (ticks) when agent was spawned
Trams Trams are spawned on one of the spawn points on one of the ends of the tram rail (brown). Then they will go towards the other end of the tram rail. If the traffic light for trams in front of the tram is red, it will wait for the green light. Also the tram will stop, if any other tram is in front of it. Variables
- speed – the distance that will agent travel in one tick. It’s also used as checking distance for lights
- spawn-time - time (ticks) when agent was spawned
Cars Cars are using roads (black). They are randomly spawned on one of the spawning points (number-marked black patches on the edges of the map). Also their destination is selected randomly as one of the letter marked points. Depending on their destination cars can change lines (red marked areas) or turn (number marked points in the crossroads). If the traffic light for cars in front of the car is red, it will wait for the green light. Also the car will stop, if any other car or pedestrians are in front of it. Variables
- speed – the distance that will agent travel in one tick. It’s also used as checking distance for lights
- destination – random number (1-3) marking the destination of the agent. Used for making decisions.
- waiting? – Boolean, if the car is waiting on the green light
- changing-line? – how long will the car currently be changing lines
- spawn-time - time (ticks) when agent was spawned
Lights The traffic lights are spawned in the simulation with the draw procedure. There are actually three kinds of agents – lights for cars, trams and for pedestrians.For their function is used build-in variable color. Color is changed in regular intervals derived from the ticks counter and global setting.
Results
Conclusion
Model source code
- ↑ ŠALAMON, Tomáš. Design of agent-based models: developing computer simulations for a better understanding of social processes. Řepín-Živonín: Tomáš Bruckner, 2011. ISBN 978-809-0466-111.
