PRE2020 4 Group1

Project Title t.b.d.

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Team members

Members	Student ID	Faculty	E-mail
Kashan Alidjan	1224924	Electrical Engineering	k.m.s.alidjan@student.tue.nl
Sijt Hooghwinkel	1228761	Automotive	s.j.c.hooghwinkel@student.tue.nl
Damaris Jongbloed	1241057	Computer Science	d.a.jongbloed@student.tue.nl
Emma van Oppen	0963999	Computer Science	e.y.v.oppen@student.tue.nl
Laura Verbeek	1428063	Biomedical Engineering	l.h.e.verbeek@student.tue.nl

Introduction

In 2020 the Dutch government spent 8.9 billion euros on roads, railways and waterways. In the Netherlands, there are 125,575 kilometres of roads, which amounts to 27000 euros per km. People new to the Netherlands often claim how well-maintained our roads are, and the Netherlands ranks second in road quality worldwide. Road quality is valued highly in the Netherlands due to a large number of cyclists. Minor damage will not be noticeable in a large car, but small cracks can lead to dangerous situations on a bicycle. Unfortunately, there are still plenty of kilometres of bad quality, with potholes and cracks. This is where this project intends to present a solution. The aim is to present a device which can measure the density of road damage, upload this to a central database and aid the government agencies in repairing severely damaged roads.

Objectives

The main objective of this project is to develop a device that measures road surface quality by detecting irregularities in the pavement, such as potholes and cracks, that are encountered while driving around. This device can be placed onto a vehicle and will collect data on these irregularities using several different sensors, such as an accelerometer and a GPS module.

Through the use of crowdsourcing, the collected data, along with GPS locations, can be used to visualize the locations of potholes, cracks and other damage to the road’s surface, thus creating a mapping of the overall road quality. This data can be used to quickly assess where the damage is the most severe and which roads are in need of repair. As such, road maintenance can be planned more immediately when problem areas are detected, which can contribute to an increase in road safety.

1. Collect data on potential locations of potholes, cracks and other road surface damage.
2. Visualize the locations of detected road damage by overlaying the collected data on a map.
3. Enable quick assessment of where the damage is most severe and repair is necessary.
4. The device must be cost effective to enable widespread usage.

USE analysis

Users

The public roads in The Netherlands are not maintained by one organization. The management is mainly shared between Rijkswaterstaat (highways), provinces and local municipalities. The two latter are responsible for the “N” roads, non-highway roads.

People that have the device installed on their vehicle can be considered as passive users as they do not have to interact directly with the device if they wish. They will need to monitor the physical state of the device and have the device replaced/repaired if needed.

Responsible organization for different roads, Leusden, The Netherlands

Society

Societal stakeholders are all road users.

Enterprise

If a repair needs to be done a contractor will be used to perform this repair.

Depending on the means of installation and technical knowledge that is required to perform installation (TBD!), this may need to be done by a garage. Several garages could be selected to have an inventory of the devices to install on customers cars during their general inspection (APK) or with a service.

State of the art / Research

TODO

Plan

Approach & Milestones

TODO

Milestones

TODO

Deliverables

The deliverables for this project consist of the following items:

• The physical prototype
• An app that collects the data output of the product
• A demonstration of the product
• The wiki page containing main topics, such as:
  • Problem statement
  • USE aspects
  • Product
  • Planning
• A video presentation regarding the product, process and most important findings.

Logbook

Week 1

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924	7h	Intro (1h), Meeting (3h), Research (1.5h), Reading old projects (1h), Deliverables (0.5h)
Sijt Hooghwinkel	1228761	7h	Intro (1h), Meeting (3h), Reading old projects (1h), Users (2h)
Damaris Jongbloed	1241057	7.5h	Intro (1h), Meeting (3h), Research (1.5h), Problem statement (2h)
Emma van Oppen	0963999	8.5h	Intro (1h), Meeting (3h), Research (3h), Objectives(1h), Wiki(0.5h)
Laura Verbeek	1428063	9h	Intro (1h), Meeting (3h), Approach+milestones (2.5h), SotA (2.5h)

Week 2

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 3

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 4

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 5

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 6

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 7

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Week 8

Name	Student ID	Time spent	Tasks
Kashan Alidjan	1224924
Sijt Hooghwinkel	1228761
Damaris Jongbloed	1241057
Emma van Oppen	0963999
Laura Verbeek	1428063

Appendix

TODO

References