PRE2016 1 Groep2: Difference between revisions

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= Introduction =
= Introduction =


== Abstract ==
== Abstract == ''needs updating''


<!-- Hoe het project idee veranderde met de tijd? -->
<!-- Hoe het project idee veranderde met de tijd? -->


== Focus ==
- Self learning walking robot
- Autonomous intersections with lots of assumptions and make simulation.
- Updating the Current Intersection System to be Compatible with Autonomous Vehicles.
 
 
== Focus == ''updated''


Main focus area: Automated traffic regulation (ATR).
Main focus area: Automated traffic regulation (ATR).


Specific focus: Automated cars having to pass a crossing (vehicle intersection control).
Specific focus: Updating the Current Intersection System to be Compatible with Autonomous Vehicles. (Vehicle Intersection Control).


Restrictions on the focus area:
Restrictions on the focus area:
* Crossing has 4 directions.
* Crossing has 4 directions.
* All cars are fully autonomous.
* Traffic is randomly generated, the ratio between autonomous and normal cars will be changeable.
* Traffic is randomly generated.


A multitude of traffic accidents happen at intersections<sup><u>citation needed</u></sup>. These are also the bottlenecks in terms of efficiency. Drivers can get stressed behind the wheel when approaching an intersection when it is not a clear enough situation. By making the intersections automated, user comfort can be greatly increased. Also society will benefit from more efficient driving past intersections, since emissions can be greatly reduced, which benefits the environment. Enterprises will also be positively influenced, since people will be able to get to work quicker instead of being stuck at an intersection.
A multitude of traffic accidents happen at intersections<sup><u>citation needed</u></sup>. These are also the bottlenecks in terms of efficiency since human drivers have varying reaction times. Drivers can also get stressed behind the wheel and lose valuable time while commuting. Contemporary intersection could make traffic more efficient by utilizing data from sensors of autonomous cars and controlling autonomous cars passing the intersection. By making the intersections smarter, user comfort can be greatly increased. Also society will benefit from more efficient driving past intersections, since emissions can be greatly reduced, which benefits the environment. Enterprises will also be positively influenced, since people will be able to get to work quicker instead of being stuck at an intersection.


== Objectives ==  
== Objectives == ''updated''
Main objective:  
Main objective:  
* Finding the most efficient and safe way for automated cars to pass crossings.
* Optimizing traffic flow at intersections using autonomous cars.


Objectives:
Objectives:
* Decrease the number of traffic accidents involving cars on crossings to zero and thereby ensuring the structural integrity of the vehicles involved.
* Choose a suitable communication protocol.
* Make sure the traffic flow is optimal, which results in less waiting time and less emission.
* Eliminate the need for traffic lights, which also reduces waiting time and therefore increases the comfort of the passengers in the cars.
* Keep in mind the perception of safety and the actual safety of passengers.


== Approach ==
* Using sensor data from autonomous cars to enhance the traffic lights.
* Choose a suitable communication protocol between autonomous cars and the intersection.
* Find existing efficient algorithms for autonomous cars at intersection in a literary review
* Combine said algorithm with current traffic light algorithms to optimize traffic flow of both normal and autonomous cars.
* Make sure the traffic flow is optimal, which results in less waiting time and less emission.
* Contributing to the transition of partial participation of autonomous cars in traffic to full participation. '''needs tweaking'''
* Keep in mind the perception of safety and the actual safety of passengers inside the autonomous cars.
* Decrease the number of traffic accidents involving cars on crossings.
 
== Approach == ''updated''


The approach that is chosen is simulation and research oriented. Most information on existing solutions must come from literature and ongoing research. By identifying pros and cons of the existing solutions, and efficient and user-friendly strategy can be created. This strategy can be simulated and tested, after which the approach can be optimized.
The approach that is chosen is research and simulation oriented. Most information on existing solutions must come from literature and ongoing research. By identifying  
the state of the art, we will try to combine traffic light algorithms with algorithms that only work with 100% autonomous cars at the intersection. When such combination has been made, a simulation will be created and tested, after which an evaluation will follow.


= Literature review =
= Literature review =
== Intersection algorithms now ==
Alles 100% normaal verkeer
Kruispunten nu
== Sensor and communicationsystems of autonomous cars
Sensoren en communicatiemogelijkheden van autonome auto's van nu
== Existing communication systems in traffic ==
Communcatie systemen (bussen/ambulances) nu met kruispunten


= Milestones =
= Milestones =
Line 61: Line 78:
**Test
**Test


* USE aspecten (doorlopend)
* USE aspecten (doorlopend) '''Doen we dit in een enkel hoofdstukje of komt het terug in het gehele verslag?'''


* Evaluation of Simulation
* Evaluation of Simulation

Revision as of 10:24, 16 September 2016

TITLE.png

Updating the Current Intersection System to be Compatible with Autonomous Vehicles.


Group members

Introduction

== Abstract == needs updating


- Self learning walking robot - Autonomous intersections with lots of assumptions and make simulation. - Updating the Current Intersection System to be Compatible with Autonomous Vehicles.


== Focus == updated

Main focus area: Automated traffic regulation (ATR).

Specific focus: Updating the Current Intersection System to be Compatible with Autonomous Vehicles. (Vehicle Intersection Control).

Restrictions on the focus area:

  • Crossing has 4 directions.
  • Traffic is randomly generated, the ratio between autonomous and normal cars will be changeable.

A multitude of traffic accidents happen at intersectionscitation needed. These are also the bottlenecks in terms of efficiency since human drivers have varying reaction times. Drivers can also get stressed behind the wheel and lose valuable time while commuting. Contemporary intersection could make traffic more efficient by utilizing data from sensors of autonomous cars and controlling autonomous cars passing the intersection. By making the intersections smarter, user comfort can be greatly increased. Also society will benefit from more efficient driving past intersections, since emissions can be greatly reduced, which benefits the environment. Enterprises will also be positively influenced, since people will be able to get to work quicker instead of being stuck at an intersection.

== Objectives == updated Main objective:

  • Optimizing traffic flow at intersections using autonomous cars.

Objectives:

  • Using sensor data from autonomous cars to enhance the traffic lights.
  • Choose a suitable communication protocol between autonomous cars and the intersection.
  • Find existing efficient algorithms for autonomous cars at intersection in a literary review
  • Combine said algorithm with current traffic light algorithms to optimize traffic flow of both normal and autonomous cars.
  • Make sure the traffic flow is optimal, which results in less waiting time and less emission.
  • Contributing to the transition of partial participation of autonomous cars in traffic to full participation. needs tweaking
  • Keep in mind the perception of safety and the actual safety of passengers inside the autonomous cars.
  • Decrease the number of traffic accidents involving cars on crossings.

== Approach == updated

The approach that is chosen is research and simulation oriented. Most information on existing solutions must come from literature and ongoing research. By identifying the state of the art, we will try to combine traffic light algorithms with algorithms that only work with 100% autonomous cars at the intersection. When such combination has been made, a simulation will be created and tested, after which an evaluation will follow.

Literature review

Intersection algorithms now

Alles 100% normaal verkeer Kruispunten nu

== Sensor and communicationsystems of autonomous cars Sensoren en communicatiemogelijkheden van autonome auto's van nu

Existing communication systems in traffic

Communcatie systemen (bussen/ambulances) nu met kruispunten

Milestones

  • Literature review
    • Kruispunten nu
    • Sensoren en communicatiemogelijkheden van autonome auto's van nu
    • Communcatie systemen (bussen/ambulances) nu met kruispunten
  • Koppeling tussen kruispunt en autonome auto
  • Algorithme / simulatie
    • Algorithme (backend)
    • Visualisatie (frontend)
    • Test
  • USE aspecten (doorlopend) Doen we dit in een enkel hoofdstukje of komt het terug in het gehele verslag?
  • Evaluation of Simulation
    • Wiki
    • Presentatie
    • Final simulation

Planning

  • Presentatie maken/voorbereiden/geven: Lisanne
  • Literatuurstudie: kruispunten nu: Rodger
  • Frontend simulatie(visualatie)+ literatuurstudie sensors en communicatie van autonome auto's nu. Sjoerd
  • FOCUS, objectves aanpassen, planning maken, milestones/deliverables/whowilldowhat/uren budget, wiki bijhouden: Jeroen
  • Communicatiesystemen in kruispunten nu: Johan.

USE Aspects

User

User need

  1. Primary Users
  2. Secondary Users
  3. Tertiary Users

User impact

  1. Primary Users
  2. Secondary Users
  3. Tertiary Users

Society

Need

Impact

Enterprise

Need

Impact


Collaboration

Planning

Task division

Meetings

A record of all held meetings can be found here.

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