PRE2018 3 Group14: Difference between revisions
No edit summary |
No edit summary |
||
| Line 18: | Line 18: | ||
== Problem statement == | == Problem statement == | ||
Traffic management and prediction is a major concern and industry all over the world. | |||
City planers are always on the lookout for new methods, algorithms and procedures to | |||
guide the ever-growing car masses through the narrow streets of urban areas. These | |||
engineers focus mostly on developing means of controlling traffic light switching and | |||
while it is an important area to optimize, it has one looming downfall: It can only | |||
dictate the paste and rythm at which traffic flows through a specific intersection and | |||
not how traffic is split among possible intersections. This is where our product comes | |||
in, instead of pushing the state of the art on traffic light control, we aim to develop | |||
methodologies to direct single cars to take an alternative route with less traffic. | |||
This is a trivial problem when applied to a single car, but quite an algorithmic challenge | |||
when all traffic tries to find alternative routes in real time and they are able to | |||
communicate their current location to each other. | |||
== Objectives == | == Objectives == | ||
* To evaluate the current state of the art on individual traffic advice. | |||
* To evaluate the current state of the art of traffic light control based on actuators. | |||
* To investigate | |||
== Target users == | == Target users == | ||
Revision as of 23:52, 4 February 2019
Group Members
| Name | Study | Student ID |
|---|---|---|
| Joost de Boer | Software Science | 1016745 |
| Yanic Dobler | Software Science | 1007100 |
| Leon Kersten | Software Science | 1006966 |
| Pietro Maschera | Psychology and Technology | 1220953 |
| Koen Vlaswinkel | Software Science | 1016271 |
Problem statement
Traffic management and prediction is a major concern and industry all over the world. City planers are always on the lookout for new methods, algorithms and procedures to guide the ever-growing car masses through the narrow streets of urban areas. These engineers focus mostly on developing means of controlling traffic light switching and while it is an important area to optimize, it has one looming downfall: It can only dictate the paste and rythm at which traffic flows through a specific intersection and not how traffic is split among possible intersections. This is where our product comes in, instead of pushing the state of the art on traffic light control, we aim to develop methodologies to direct single cars to take an alternative route with less traffic. This is a trivial problem when applied to a single car, but quite an algorithmic challenge when all traffic tries to find alternative routes in real time and they are able to communicate their current location to each other.
Objectives
- To evaluate the current state of the art on individual traffic advice.
- To evaluate the current state of the art of traffic light control based on actuators.
- To investigate