Essay: UDP – IMPROVISATION OF ACCIDENT RESPONSE SERVICES USING GIS

Abbreviations
In order of occurrence.
• NCRB – National Crime Records Bureau
• QGIS – Quantum GIS
• GIS – Geographic Information System
• GPS – Global Positioning System
• GSM – Global System for Mobile
• GIARS – GIS Integrated Accident Respone System
• HMV – Heavy Motor Vehicles
• DBMS – Database Management System
• SMS – Short Message Service
• LMV – Light Motor Vehicles
1. Title: Introduction
The frequency of traffic accidents in India is amongst the highest in the world. A NCRB report revealed that every year around 1,35,000 deaths in India occur due to road accidents. Many times deaths occur due to delay in the treatment because emergency response forces don’t reach on time due to many constraints. Reasons may be many such as delay in information delivery, heavy traffic routes, remote locations, bad weather conditions, unknown addresses, etc.
To overcome these constraints, we have come up with an idea about how to cut the death count in accidents. The idea is still in the development phase.
1.1. Problem Summary
What do you do when there is an accident emergency?
You call ‘108’. It is an Emergency Response Service which provides integrated medical, police and fire emergency services. It is currently operational in 15 states and 2 union territories. This system was introduced across India by the former union health minister Dr. Anbumani Ramadoss. And the system was designed by Satyam InfoTech.
The call takers gather useful information such as,
• The place from where the call is placed (district / taluka /city / town / exact location / landmark )
• The type of emergency.
• Number of people injured and the condition of the injured.
• The caller\’s name and contact number – for location guidance if required.
Emergency help dispatched through this process is expected to reach the site of the emergency in an average of 18 minutes.
• What if there is no one around at the time of the accident especially during night time
• What if the weather is bad and phone signal is weak
• What if the accident location is untraceable as in hilly areas
• What if there is a traffic jam on the ambulance route and it doesn\’t reach on time
1.1.1. Accident Statistics in India
Below mentioned are some accident statistics in India,
• Over 1,37,000 people were killed in road accidents in 2013 alone, that is more than the number of people killed in all our wars put together.
• There is one death every four minutes due to a road accident in India.
• One serious road accident in the country occurs every minute and 16 die on Indian roads every hour.
• 1214 road crashes happen every day in India..
• 377 people die every day, equivalent to a jumbo jet crashing every day.
• Top 5 Cities with the highest number of Road Crash Deaths (Rank –Wise):
o Delhi (City)
o Chennai
o Jaipur
o Bangalore
o Mumbai
1.2. Aims and Objectives
Following are the aims and objectives of our solution:
• To reduce the number of death counts due to accidents.
• To dilute the time required by accident response services to arrive at the accident location.
• To keep record of accidents in soft copy and update automatically.
• To implement smart accident response system.
1.3. Brief Literature Review
While attending at the issue, the first query which may come up in the readers’ mind is that how did we start this idea being in the civil engineering field? The thing is that we had prepared our project in the previous years on a software called QGIS. We came across this topic in our subject called disaster management and we found it interesting and got into it. So our topic, i.e. “Improvisation of Accident Response Services using GIS” is multidisciplinary. It involves programming of circuits and interfacing these programs with GIS which was a really great bargain for us. We had very little knowledge about programming. Then we had to perform a great deal of research and refer as many research papers as possible. We found around 9-10 research papers whose topics revolved around our topic.
The papers were mostly published in international computer science journals or electrical and electronic journals. After citing the papers we found out that most of them bear a similar purpose which is when a vehicle crash, the sensor installed in the vehicle gets activated and using a GPS module it traces the accident location and transports it to the control room on the registered number. Then the person-in-charge in the control room informs the nearest ambulance to rescue the people at the accident site. In one of the research papers there were also fire sensors mentioned to inform the fire services along with the ambulance.
And then in one of the research papers, there was this ABEONA algorithm which enables rescue services to forecast traffic congestions which is a very significant objective of our project as well. There was also a shortest path finder software program, i.e. DIJKSTRA algorithm developed specially for this purpose which is yet another important objective of our project.
At that place was this another research report that talked about coordination of traffic lights for rescue of accident hit people. However, it seemed a bit troublesome for the normal traffic that would suffer due to change in timings of signals. Hence, some other method must be considered to sweep over this issue which can be made possible by knowing the peak hours and traffic stream during these hours which requires various traffic studies to be carried.
1.4. Materials & Tools Required
• Crash Impact Sensors to be installed at various locations in cars. Sometimes they are pre installed as a safety feature to trigger the air bags during the accident.
• GPS module that would trace the location of the vehicle when it crashes
• GSM module that would be used to send the location to the control room on a registered number
• GIS software to locate the nearest ambulance and find the shortest route
• Hi – Tech Control Rooms
2. Design
The product is still in the development phase. The design is quite simple. It involves programming of GPS and GSM modules on the Arduino board along with the crash impact sensor. As soon as crash sensor senses any type of impact it will trigger the GPS module to send the location details via GSM module. Not only location details, but also driver details, vehicle details and other details such as temperature, time, height above mean sea level, and so forth will also be sent. Below given is the flow diagram of the design:
2.1. Analysis
Before we commenced forming on the product we gathered some accident statistics of Vadodara. We went to police stations and to various other government authorities and placed our request to get the data. But we were denied as we were told that the data was confidential. So we used our previous semester data that we had collected from the traffic police and had created a sample database out of that. The figures in the table are approximate.
Table-1
Year Deaths Injured Total
2001 142 1251 1393
2002 123 1325 1448
2003 144 1425 1569
2004 156 1241 1397
2005 162 1351 1513
2006 141 1222 1363
2007 142 1511 1653
2008 144 1432 1576
2009 171 1325 1496
2010 147 1251 1398
2011 161 1152 1313
Table-2
Year Population Deaths Rate
2001 1030346 142 13.78
2002 1067619 126 11.28
2003 1102151 144 13.25
2004 1148627 156 13.58
2005 1192546 162 12.59
2006 1234462 141 11.39
2007 1232532 142 11.04
2008 1323362 144 10.78
2009 1356248 171 12.34
2010 1426548 147 10.22
2011 1493562 161 10.78
Table-3
Year Vehicular Population Death Rate
2001 256634 142 5.53
2002 281763 126 4.37
2003 303805 144 4.74
2004 326486 156 4.74
2005 346585 162 4.53
2006 394258 141 3.59
2007 410251 142 3.29
2008 462186 144 3.05
2009 512469 171 3.32
2010 564785 147 2.61
2011 606248 161 2.66
Table-4
Category Rate
2-wheelers 45-55
3-wheelers 20-33
Cars 10.1-18.36
Buses 3.1-8.3
Trucks 0.2-2
Table-5
Location Serious Fatal Accident Total
Near Railway Station 5 5 10
Kalaghoda 6 4 10
Gaay cross road 9 17 26
Waghodia Cross Road 10 14 24
Ajwa Road Intersection 11 13 24
Tarsali Bypass 7 11 18
Mandvi Gate 16 0 16
Dumad Intersection NH8 4 10 14
Golden Intersection NH8 3 7 10
Kapurai Intersection NH8 3 7 10
Fajalpur Bridge Near NH8 3 7 10
Padamla Intersection NH8 2 6 8
Kamplapura SH 158 10 6 16
We applied this data and formed a sample database in excel sheet. We then imported this data on an open source software called QGIS 2.16 desktop version. We set up the coordinates of the name of the locations mentioned using Google maps. They can likewise be found out using a handheld GPS device that captured the coordinates of the location using one of the satellites passing above us at that fourth dimension. The data in the Table-5 are used to plot the points on the map of Vadodara using QGIS.
Mapping
We then collected information of a number of police stations in the Vadodara city and using Google maps found out their coordinates. We created the database and mapped all the police stations of Vadodara.
Table-6
Sr. no. Name Address Phone Number
1 Navayard Police Choki – Fatehgunj Police Station Chhani Road, Near Phulwadi Char Rasta, Chhani Jakatnaka, Vadodara, Gujarat 390002 0265 277 1500
2 Fatehgunj Police Station Ram Wadi, Vadodara, Gujarat 390024 0265 277 1500
3 Sayajigunj Police Station Aurobindo Ghosh Rd, Near Railway Station, Kadak Bazar, Sayajiganj, Vadodara, Gujarat 390005 0265 236 2400
4 Raopura Police Station Raopura Rd, Raopura, Jambubet, Vadodara, Gujarat 390001 0265 245 9991
5 City Police Station Panigate Rd, Near Almas Market, Opp.Jamnabai Hospital, Chhipwad, Vadodara, Gujarat 390006 0265 256 1310
6 Panigate Police Station 4, Panigate Rd, Syedwada, Chhipwad, Vadodara, Gujarat 390006 0265 256 2899
7 Kishanwadi Police Station New VIP Ring Rd, Kishanwadi, Vadodara, Gujarat 390019 0265 274 5223
8 Bapod Police Station Nivedanam Complex, Somatalav Char Rasta, Dabhoi Ring Road, Vadodara, Gujarat 390019 0265 215 4521
9 Wadi Tower Police Station 2, Tower Main Rd, Badri Mohalla, Moghul Wada, Vadodara, Gujarat 390017 0265 245 4596
10 Patthar Gate Police station Madan Zapa Rd, Sultanpura, Vadodara, Gujarat 390001 0265 289 2530
11 Taluka Police Station Sultanpura, Vadodara, Gujarat 390001 0265 253 0254
12 Navapura Police Station Navapura, Vadodara, Gujarat 400052 0265 251 1476
13 Makarpura Police Station Makarpura Rd, Near Baroda Dairy, Manjalpur, Vadodara, Gujarat 390009 0265 265 1915
14 Chapaner Police Station Hathikhana Main Rd, Bajwada, Mandvi, Vadodara, Gujarat 390001 0265 242 5722
15 Karelibaug Police Station Karelibagh, Vadodara, Gujarat 390018 0265 243 2424
16 Harni Police Station Harni, Vadodara, Gujarat 390022
17 Sahyog Police Chowki – Gorwa Police Station Gorwa Rd, Panchvati, Vadodara, Gujarat 390016 0265 238 7200
18 Laxmipura Police Station Laxmipura, Shubhanpura, Vadodara, Gujarat 390023 0265 287 4693
19 Gotri Police Station Gotri, Vadodara, Gujarat 390007 0265 297 4116
20 J P Road Police Station Patrakar Colony, Tandalja, Vadodara, Gujarat 390012 0265 275 7541
21 Chhani Police Station Chhani-Sokhad Road, Sokhda Rd, Chhani, Vadodara, Gujarat 391740 0265 257 2511
22 Bahucharaji Police Station Nagarwada Road, Near Ambe Mata Mandir, Nagarwada, Vadodara, Gujarat 390018 099130 92476
23 Jawahar Nagar Police Station near Ranoli bridge, Karachiya, Petro Chemical Complex INA, Gujarat 391345 0265 254 9265
24 Gorwa Police Station Gorwa Rd, Gorwa, Vadodara, Gujarat 390016 0265 228 1313
25 Ellora Police Station New IPCL Rd, Hariom Nagar, Shubhanpura, Vadodara, Gujarat 390023 0265 252 4689
26 Jetalpur Police Chowki Jetaipura, Vadodara, Gujarat 0265 228 4578
27 Lalbaug Police Chawki Navapura, Vadodara, Gujarat 390001 0265 251 8205
28 Samta Police Booth Swatantra Senani Nagar, Laxmipura, Vadodara, Gujarat 390023 0265 245 6594
2.2. Design Methodology
The aim of this design is to develop a device equipped with crash impact sensors, a GPS module and a GSM module. The wiring of this sensor has to be done in the entire vehicle because it may be hit from any direction. As soon as the crash impact sensor senses any impact from whichever direction it will send every detail of the vehicle that would stored in the device itself prior to its installation in the vehicle or at the time of purchase.
These details would be sent to a control room where in person-in-charge will monitor the position of the accident hit vehicle and inform the nearest ambulance along with location details after determining the shortest path. Ambulances will be well equipped with GPS technology to locate the accident hit vehicle. Also police will be informed about the accident. With the help of this system, the method of collection of accident data becomes easier, simpler and faster. Otherwise in many cases accidents are not recorded due to fear of police complaints.
Utilising this information, the system can be developed further and be made more efficient. The information can be used in the analysis of the accident prone zones.
2.3. Implementation Strategy
As the product is still in the development phase and due to lack of availability of data, we could only study the accident statistics in Vadodara. But the design is made for accidents at a remote location such as hilly areas for which the system has to be implemented throughout the country. There are few challenges such as when a vehicle crosses the state borders, the device must automatically register itself with the accident response center of the respective state which are yet to overcome. There are millions of light motor vehicles and heavy motor vehicles that cross state borders on a daily basis and for that this system has to be made more efficient. Also the tools and materials are a bit costly (which should not be an issue because SAFETY FIRST) to install which can be subsidized by the government on some model.
3. Implementation
The point is not to replace the existing system, but improving it to make it more efficient so that the response time is reduced and people can be saved. The implementation is yet to be done as we are still developing the product and learning all the details about the things such as programming and interfacing which are out of the scope of our discipline.
Hence, it might take time to implement the system fully.
4. Result Summary
As the system is not yet implemented results cannot be predicted or analyzed. Once the product is ready, it will be implemented at city level and if it proves to be successful, it will be further expanded to the national level.
4.1. Advantages
• Accident records can be maintained in a database management system.
• Easy analysis of accident data whenever required.
• Categorization of accident prone zones.
• Analysis of causes of accidents.
• Preventive measures to reduce accidents such as redesigning of intersections, gradients, super elevations, etc. can be taken.
4.2. Usefulness with respect to existing Solution
The current system works perfectly fine. Sometimes it is difficult to trace the location of the accident site and it may consume time to reach to the accident location and people may die and what if the person does not know the exact address and by chance gives the wrong address then it may worsen the situation. To overcome this problem we have come with this solution. Besides the average time to get to the accident location which is 18 minutes can be abbreviated. Also the maintenance of accident records becomes easy and can be made available to the public (only statistics) for any sort of accident studies.
4.3. Future Scope
India is the 7th largest economy in the world and also one of the fastest growing economies in the world. The Government of India has launched a mission to develop 100 cities all over the country, making them citizen friendly and sustainable called the SMART CITIES MISSION. To accomplise this we must use smart techniques to take on society’s problems.
Developing such an idea and turning it into reality in a country like India is a challenging task but not impossible.
4.4. Unique Features
• It sends the location in real time almost in the very next few seconds when the crash sensor senses the impact.
• It not only sends the location details, but also other important details such as driver details, RC book details, license plate number, etc.
• It updates the accident data automatically in a database management system.
5. References
Following are the research papers that we referred for our project,
[1] Accident Emergency Response And Routing Software (AERARS) using Genetic Algorithm from International Journal on Computer Science and Engineering (IJCSE)
[2] Automated Accident Intimation and Rescue System for Vehicles from International Journal of Application or Innovation in Engineering & Management (IJAIEM)
[3] Automatic Accident Detection and Ambulance Rescue System from International Journal on Recent and Innovation Trends in Computing and Communication
[4] Automatic Accident Detection and Ambulance Rescue with Intelligent Traffic Light System from International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
[5] Automatic Ambulance Rescue System Using Shortest Path Finding Algorithm from International Journal of Science and Research (IJSR)
[6] Base Map directly synced from Google Maps.
[7] Details about presence of GVK’s emergency services – http://www.emri.in/108-emergency/
[8] Details of 108 emergency number – https://en.wikipedia.org/wiki/108_(emergency_telephone_number)
[9] Efficient Accident Detection and Rescue System using ABEONA Algorithm from International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
[10] For accident statistics – http://sites.ndtv.com/roadsafety/important-feature-to-you-in-your-car/
[11] For location based data – Google Maps – https://www.google.co.in/maps
[12] Incident Reporting System Using GIS from IRACST-Engineering Science and Technology: An International Journal (ESTIJ)
[13] Integrated Road Traffic Accident Systems (IRTAS) for Emergency Service Providers from International Journal for Research in Emerging Science and Technology
[14] Intelligent Accident-Detection and Ambulance- Rescue System from International Journal of Science & Technology
[15] ROAD SAFETY IN INDIA STATUS REPORT 2015 by Dinesh Mohan, Geetam Tiwari and Kavi Bhalla, INDIAN INSTITUTE OF TECHNOLOGY, DELHI – http://tripp.iitd.ernet.in/road_safety_in_India_status_report.pdf
[16] Shapefiles downloaded from – http://www.statsilk.com/maps/download-free-shapefile-maps
[17] Software used for mapping data on the maps – QGIS Essen 2.14
6. Appendix
6.1. A – Periodic Progress Report (PPR)
6.1.1. PPR-1
• What progress have you made in this project?
First of all we decided to carry forward our DE project, which was based on Geographic Information System, its uses, applications, scope, etc. So we started thinking about using the software for the benefits of the society. We thought of integrating it with the current emergency response system so that it is made more efficient.
So we went through a lot of research papers and came across 10 to 12 papers that were related to the problem, that we had chosen to solve.
• What challenges you have faced?
We faced many challenges such as, we had to refer a lot of research papers which were from computer science journals and being civil engineers we didn’t have enough knowledge about circuits and programming.
• What support you need?
We needed accurate accident data and their causes so that we can have an accident data analysis.
• What literature have you referred?
We searched over the internet.
www.google.com
www.youtube.com
We referred the following research papers:
• Incident Reporting System Using GIS from IRACST-Engineering Science and Technology: An International Journal (ESTIJ)
• Accident Emergency Response And Routing Software (AERARS) using Genetic Algorithm from International Journal on Computer Science and Engineering (IJCSE)
• Integrated Road Traffic Accident Systems (IRTAS) for Emergency Service Providers from International Journal for Research in Emerging Science and Technology
• Automatic Accident Detection and Ambulance Rescue with Intelligent Traffic Light System from International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
6.1.2. PPR-2
• What progress have you made in this project?
After referring the research papers we decided to make a program named GIARS i.e GIS Integrated Accident Response System. So we started looking for institutes as well as government organisations that could help us learning GIS i.e Geographic Informations Systems. So we went to BISAG, Gandhinagar to get training in GIS, but due to their busy schedule they couldn’t help us. Then we approached Geomatic Department, CEPT University, Ahmedabad and explained our project and the use of GIS in our project. They gave us a good response but as their summer schools were going on they had no faculties that could teach us.
• What challenges you have faced?
We faced many challenges such as at BISAG we had to follow up the director on daily basis to get any kind of help for our project. But unfortunately due to their busy schedule we did not get proper response.
And at CEPT University, Ahmedabad we faced challenges in explaining our project to the HOD of the Geomatics department and to tell them the importance of GIS in our project.
• What support you need?
We need an institute or a teacher that can guide us in learning GIS so that we can use it efficiently in our project as an interface for our accident response system.
• What literature have you referred?
We referred the following research papers:
• Automatic Accident Detection and Ambulance Rescue System from International Journal on Recent and Innovation Trends in Computing and Communication
• Automated Accident Intimation and Rescue System for Vehicles from International Journal of Application or Innovation in Engineering & Management (IJAIEM)
• Efficient Accident Detection and Rescue System using ABEONA Algorithm from International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
• Intelligent Accident-Detection and Ambulance- Rescue System from International Journal of Science & Technology
• Automatic Ambulance Rescue System Using Shortest Path Finding Algorithm from International Journal of Science and Research (IJSR)
6.1.3. PPR-3
• What progress have you made in this project?
After going to different places for learning GIS software and unfortunately getting no help in return, we decided that some data analysis should be done using the accident data and mark some accident prone zones in our city so that more importance can be given to those areas. So we went to the police commissioner office in Vadodara, but as he was not present there we had to go to the reader room where we met an official. We told him about our project and why we needed the accident data. He appreciated our idea for making an effort to improve the accident response system. Then he told us that these type of data can’t be handed over to the public as they were confidential and further added that if the commissioner would allow us to use the data only then the data will be provided to us for data analysis purpose. The official we met has put our request letter to the commissioner of police for approval of the accident data to be provided. And we are eagerly waiting for a positive response from the commissioner.
• What challenges have you faced?
The main challenge that we face that we didn’t have any accurate accident data that can be analyzed properly and give us a proper result. The data available on the internet was inaccurate. And the police stations also don’t provide the data to any normal citizen even if the reason is for the betterment of the society.
• What support you need?
We need a proper website that could provide us accurate accident data of the area required to be analyzed. The website should provide the data only after proper verification of the person in need of the data so that data can be accessed easily as well as the confidentiality of the data can also be maintained.
• What literature have you referred?
No literature was needed to be referred for how to collect accurate accident data.
6.1.4. PPR-4
• What progress have you made in this project?
As we pursue civil engineering we don’t have much knowledge about programming as well as usage of circuits. So we asked our friends to help us with our programming software and also teach us the same, so that we can be capable of fixing any kind of problem that can arise during the functioning of the program. We have a keen interest in learning the basics of the programming that we are going to use and also the connections of the different types of circuits and use of every single hardware and software that is to be used in our program in the near future.
• What challenges have you faced?
The main challenge faced by us was that we didn’t know the basics of programming and use of integrated circuits. We are also facing monetary challenges because the components that we are suppose to use are costly.
• What support do you need?
The main support we require is financial aid or sponsorship so that we can afford to develop our program.
• What literature have you referred?
We didn’t refer any literature because we mostly found everything on the internet to obtain information on what is required to make the program or the software functional.
6.2. B – Patent Search and Analysis Report (PSAR)
Below mentioned are the details of patent search and analysis report. The details include name of the patent, name of the inventor, name of the assignee and patent number.
[1] US20100161370A1 – Pass through for improved response time
Legal status
Granted
Application number
US12338555
Other versions
US8095410B2 (Grant)
________________________________________
Inventor
Andrew M. Bloom
Current Assignee
Motorola Solutions Inc
Original Assignee
Motorola Solutions Inc
[2] US20050209770A1 – System and method for knowledge-based emergency response
Legal status
Granted
Application number
US11039718
Other versions
US7395151B2 (Grant)
________________________________________
Inventor
Dennis O\’Neill
Guillermo Arango
Current Assignee
Safer Inc
Original Assignee
Safer Inc
[3] US20020103622A1 – Decision-aid system based on wirelessly-transmitted vehicle crash sensor information
Legal status
Pending
Application number
US09907542
________________________________________
Inventor
John Burge
Original Assignee
Burge John R.
[4] US20050209770A1 – System and method for knowledge-based emergency response
Legal status
Granted
Application number
US11039718
Other versions
US7395151B2 (Grant)
________________________________________
Inventor
Dennis O\’Neill
Guillermo Arango
Current Assignee
Safer Inc
Original Assignee
Safer Inc
[5] US20090051510A1 – System and Method for Detecting and Reporting Vehicle Damage
Legal status
Pending
Application number
US11842436
________________________________________
Inventor
Todd Follmer
Scott McClellan
Current Assignee
inthinc Tech Solutions Inc
Original Assignee
IWI Inc
[6] US20060161315A1 – Vehicle position and performance tracking system using wireless communication
Legal status
Pending
Application number
US11283913
________________________________________
Inventor
Ron Lewis
Joe Picone
Zach Rowland
Will Jenkins
Georgios Lazarou
Current Assignee
Mississippi State University
Original Assignee
Ron Lewis
Joe Picone
Zach Rowland
Will Jenkins
Georgios Lazarou
[7] US7349768B2 – Evacuation route planning tool
Legal status
Active, expires 2026-05-23
Application number
US11113943
Other versions
US20080046134A1 (Application)
________________________________________
Inventor
Alan E. Bruce
Kenneth A. Cobleigh
Pauline Joe
Current Assignee
Boeing Co
Original Assignee
Boeing Co
[8] US20060142933A1 – Intelligent traffic system
Legal status
Pending
Application number
US10535392
________________________________________
Inventor
Lumin Feng
Original Assignee
Lumin Feng
[9] US7091852B2- Emergency response personnel automated accountability system
Legal status
Expired – Fee Related, expires 2023-11-18
Application number
US10802571
Other versions
US20050001720A1 (Application)
________________________________________
Inventor
Charles Mason
Raymond Burkley
John Cronin
Gordon Taras
Jack Boniface
Steven Taylor
Chet Hom
Current Assignee
Tri Sentinel Inc
Original Assignee
Tri Sentinel Inc
[10] US20070103292A1 – Incident control system with multi-dimensional display
Legal status
Pending
Application number
US11510057
________________________________________
Inventor
Raymond Burkley
Charles Mason
Gordon Taras
Chet Hom
Current Assignee
TRI-SENTINEL Inc
Original Assignee
Burkley Raymond T
Mason Charles P Iii
Gordon Taras
Chet Hom
6.3. C – Design Engineering Canvases
6.3.1. AEIOU Summary
• The environment at the accident location would be either a remote location, an untraceable location, night time or bad weather, whereas in the control room the person in charge would be analyzing previous records or tracking the accidents in real time and informing response services
• The interactions taking place would be between crash sensors and GPS and GSM modules sending location coordinates at the control room via wireless networks. The person in charge would be monitoring the maps on multiple screens and interacting with response services.
• The activities being carried out would locating accidents precisely, data being recorded in real time, analyzing of previous database information transfer to emergency services.
• The objects would be the components of GIARS v1.0 mentioned previously.
• The users of this program would be a common man, HMV drivers, travel agencies, urban planners, etc.
6.3.2. Empathy Summary
• The challenges that we are facing are lack of knowledge of programming of circuits and also the lack of availability of accident data. One of the main challenges is to register the device with the response center of the respective state when it crosses the state border.
• The exact problem from five possibilities or their combination are as mentioned previously that, what if when accidents occur at remote locations or untraceable locations or when nobody isaroundf to report the calamity or the weather is bad due to which phone signals are weak or the response service takes too long to reach the accident location.
• The problems on the basis of desirability, feasibility and viability are that the system requires hi-tech control rooms. The device should not get damaged at the time of the accident. As well it takes a totally different model of implementation as a lot many people get involved when it would be in the working status.
6.3.3. Ideation Canvas
• The people using this program would be a common man, HMV drivers, travel agencies, urban planners, etc.
• The activities being carried out would locating accidents precisely, data being recorded in real time, analyzing of previous database information transfer to emergency services.
• The exact problem from five possibilities or their combination are as mentioned previously that, what if when accidents occur at remote locations or untraceable locations or when nobody isaroundf to report the calamity or the weather is bad due to which phone signals are weak or the response service takes too long to reach the accident location.
• The proposed solution is GIARS v1.0 which would provide precise accident locations, reduces response time, finds the shortest route and also collects and stores data in a DBMS for future references and analysis.
6.3.4. Product Development Canvas
• The purpose behind this design to reduce the number of deaths from accidents, reduce emergency response time, easy maintenance of accident records and recognition of accident prone zone.
• The existing system works in a similar manner but sends the location details via SMS.
• The product provides precise accident locations, reduces response time, finds the shortest route and also collects and stores data in a DBMS for future references and analysis.
• Right now the product is only designed for LMV and HMV. The hardware of the product is costly. There could be some network issues using the GSM module. And the device may also get damaged during the accident.
• Our aim is to make it cost effective and use a simple programming language for programming and interfacing the components.
6.4. D – Study Areas
Following are the other works that we did while leaning QGIS. We prepared terrain models and generated contour maps of a region of Gujarat.