MOBILE-WEB-BASE VOLUNTEERED GEOGRAPHIC INFORMATION APPLICATION AND GEOMETRIC ACCURACY ANALYSIS FOR TRAFFIC ACCIDENTS

Abstract. The users can contribute to geographic information through platforms such as Wikimapia and OpenStreetMap. They can also generate data by themselves with their applications in cyber worlds like Google Earth. This study is primarily designed to be a guide regarding Volunteered Geographical Information (VGI) and to evaluate the geometric accuracy of data collected from volunteers on application. The main purpose of this study is to present basic information about Volunteered Geographical Information (VGI), why users are tending to use VGI, the accuracy of the data entered by the user, to examine the examples of use in various fields, to learn about geographic information systems and to compare this phenomenon and also by developing a VGI application to examine the similarity between the actual data and the data collected from volunteer users. A mobile and web-based application have been developed to collect traffic accident data from volunteer users. The geometric accuracy analysis was performed by comparing the data collected with this application with the data obtained from the General Directorate of Security.

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Analysis Traffic Accident Prone Areas Using Cluster Analysis in Bogor City Based on WebGIS

INFOTECH journal ◽

10.31949/infotech.v7i1.1071 ◽

2021 ◽

pp. 55-62

Author(s):

Lulu Lutfi Latifah

Keyword(s):

Cluster Analysis ◽

Information System ◽

Traffic Accident ◽

Traffic Accidents ◽

Cluster Algorithm ◽

Geographical Information ◽

Prone Area ◽

Accident Data ◽

The City ◽

City Police

Traffic accidents are a problem that occurs in various regions in Indonesia, especially in the city of Bogor. Based on traffic accident data obtained from the Laka Unit, the Bogor City Police experienced fluctuating movements. The use of accident data is also not optimal. This makes it difficult to see areas that have a level of vulnerability. To solve this problem, in this study an analysis was made to determine the areas prone to traffic accidents by utilizing the Geographical Information System to map the distribution of locations. The method used to analyze the accident area is using the K-Means Cluster Algorithm. The results of the research conducted showed that the highest level of vulnerability from 2014 to 2019 was in the sub-district of Tanah Sareal on Jalan K.H. Sholeh Iskandar. Several incidents of laka occurred on curves, bypasses, and in and out of vehicles. The result of this research is in a beautiful traffic accident prone area in the form of WebGIS.

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Identification of potential traffic accident hot spots based on accident data and GIS

MATEC Web of Conferences ◽

10.1051/matecconf/202032501005 ◽

2020 ◽

Vol 325 ◽

pp. 01005

Author(s):

Hongge Zhu ◽

Yuntong Zhou ◽

Yanyan Chen

Keyword(s):

Traffic Safety ◽

Hot Spots ◽

Traffic Accident ◽

Traffic Accidents ◽

Road Traffic ◽

Hot Spot ◽

Geographic Information ◽

Causality Analysis ◽

Road Traffic Safety ◽

Accident Data

The problem of road traffic safety has been widely concerned in recent years. The identification of traffic accident hot spots can effectively improve the road traffic safety and let the traffic managers formulate targeted improvement measures and suggestions. The traditional identification method of accident hot spot does not consider the spatial attribute of the accident, so it has some limitations in the identification of traffic accident hot area. Therefore, this paper first proposes a method to identify the hot spot of traffic accidents based on geographic information system (GIS). The mathematical model and machine learning model are used to explore the correlation between traffic accidents and spatial characteristics from macro and micro aspects. Finally, taking Beijing as an example, the feasibility of the research method is proved by using the accident data of Beijing in 2015 and the geographic information of Beijing. The research results of this paper can realize the spatial effective transformation of accident records, comprehensively consider the micro and macro attributes of the accident itself, realize the automatic and efficient identification of the accident hot spot. In addition, the causality analysis results between each attribute and the distribution of accident hot spots can help decision makers to formulate safety and sustainable road strategies.

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PERANCANGAN SISTEM INFORMASI GEOGRAFIS PARIWISATA BERBASIS WEB DI DINAS KEPEMUDAAN DAN OLAHRAGA DAN PARIWISATA KABUPATEN KEBUMEN

Jurnal E-Komtek (Elektro-Komputer-Teknik) ◽

10.37339/e-komtek.v2i1.91 ◽

2019 ◽

Vol 2 (1) ◽

pp. 23-34

Author(s):

Ari Waluyo ◽

Satria Budi Santoso

Keyword(s):

Information System ◽

Geographical Information System ◽

System Development ◽

Unified Modeling Language ◽

Geographic Information ◽

Geographical Information ◽

Web Based ◽

Unified Modeling ◽

Tourism Information ◽

Object Oriented Approach

The purpose of this research is to know the geographic information system of tourism that is in Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency and develop it Research methods used by doing observationin Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency, then proceed with the system development method. the research method used is by the method of SDLC (System Development Life Cycle). By using the Software Notepad ++ to build tourism Geographical Information System web-based. PHP as a programming language, MySQL as the database server and the design of the map using the Google Maps API. The object-oriented approach that is used UML (Unified Modeling Language) can explain the flow of the existing system. Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency has been doing promotion through mass media such as newspapers and brochures in the delivery of information. But the way is not enough to inform tourism and places of attractions. It is therefore through the design of Geographical information system of tourism was able to resolve the issue. After the results of the study of geographic information systems is expected delivery of tourism information becomes more widespread, and the tourists could be quick and precise in finding information a tourist want to visit.

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ROAD SAFETY CAMPAIGNS TO REDUCE TRAFFIC ACCIDENTS FOR YOUNG ROAD USERS

ICCD ◽

10.33068/iccd.vol2.iss1.278 ◽

2019 ◽

Vol 2 (1) ◽

pp. 601-606

Author(s):

Widodo Budi Dermawan ◽

Dewi Nusraningrum

Keyword(s):

School Environment ◽

Road Safety ◽

Traffic Accident ◽

Traffic Accidents ◽

Road Traffic ◽

School Administrators ◽

Road User ◽

The Road ◽

Road Users ◽

Accident Data

Every year we lose many young road users in road traffic accidents. Based on traffic accident data issued by the Indonesian National Police in 2017, the number of casualties was highest in the age group 15-19, with 3,496 minor injuries, 400 seriously injured and 535 deaths. This condition is very alarming considering that student as the nation's next generation lose their future due to the accidents. This figure does not include other traffic violations, not having a driver license, not wearing a helmet, driving opposite the direction, those given ticket and verbal reprimand. To reduce traffic accident for young road user, road safety campaigns were organized in many schools in Jakarta. This activity aims to socialize the road safety program to increase road safety awareness among young road users/students including the dissemination of Law No. 22 of 2009 concerning Road Traffic and Transportation. Another purpose of this program is to accompany school administrators to set up a School Safe Zone (ZoSS), a location on particular roads in the school environment that are time-based speed zone to set the speed of the vehicle. The purpose of this paper is to promote the road safety campaigns strategies by considering various campaign tools.

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Rancang Bangun Sistem Informasi Geografis Potensi Sumber Daya Alam Di Kabupaten Talaud Berbasis Web

Jurnal Teknik Informatika ◽

10.35793/jti.13.1.2018.20763 ◽

2018 ◽

Vol 13 (1) ◽

Author(s):

Arief A. Sasoeng ◽

Steven R. Sentinuwo ◽

Yaulie D.Y. Rindengan

Keyword(s):

Information System ◽

Geographic Information System ◽

Natural Resources ◽

Geographic Information ◽

Geographical Information ◽

Web Based ◽

The North ◽

North Sulawesi ◽

System Information ◽

Resource Data

Abstract — Sistem Informasi Geografis (SIG) atau Geographic Information System (GIS) adalah sebuah sistem yang didesain untuk menangkap, menyimpan, memanipulasi, menganalisa, mengatur dan menampilkan seluruh jenis data geografis, misalnya informasi-informasi yang berkaitan dengan sumber daya alam, maka informasi geografis akan berisi mengenai lokasi suatu daerah dan informasi mengenai sumber daya alam yang terkandung pada daerah tersebut. Kabupaten Kepulauan Talaud merupakan salah satu daerah terpencil yang berada di Provinsi Sulawesi Utara, Indonesia yang berbatasan dengan daerah Davao del Sur, Filipina disebelah utara, Ibu Kota Melonguane. Dengan merancang dan membagun sistem informasi geografis mengenai potensi sumber daya alam di Kabupaten Kepulauan Talaud berbasis web, dapat memberikan informasi data-data potensi sumber daya alam di Kabupaten Kepulauan Talaud. Dengan menggunakan metode Waterfall dalam membuat suatu sistem informasi menggunakan bahasa pemprograman PHP, HTML dan MYSQL. Kata kunci — GIS, Potensi, SDA, SIG, Talaud, Web. Abstract — System Information Geographic (SIG) or Geographic Information System (GIS) is a system designed to capture, store, manipulate, analyze, organize and display all types of geographic data, such as information relating to natural resources, geographical information will contain the location of an area and information about the natural resources it contained in the area. Talaud islands Districts is one of the remote areas located in North Sulawesi Province, Indonesia bordering the Davao del Sur, Philippines region to the north, of capital Melonguane. By designing and Building geographic information system on the potential of natural resources in the web based talaud island district, can provide information of potential natural resource data in Talaud Islands District. By using Waterfall method in making an information system using programming language PHP, HTML and MYSQL. Keywords — GIS, Potency, SDA, SIG, Talaud, Web.

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THE DATA RELIABILITY OF VOLUNTEERED GEOGRAPHIC INFORMATION WITH USING TRAFFIC ACCIDENT DATA

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-4-w4-363-2017 ◽

2017 ◽

Vol IV-4/W4 ◽

pp. 363-365

Author(s):

H. K. Sevinç ◽

I. R. Karaş

Keyword(s):

Information System ◽

Geographic Information System ◽

Mobile Devices ◽

Traffic Accident ◽

Great Part ◽

Real Data ◽

Volunteered Geographic Information ◽

Geographic Information ◽

Mobile Technologies ◽

Geographical Information

The development of mobile technologies is important in the lives of humans. Mobile devices constitute a great part of the daily lives of people. It has come to such a point that when people first wake up, they check their smart phones for the first thing. Users may share their positions with the GNSS sensors in mobile devices or they can add information about their positions in mobile applications. Users contribute to Geographical Information System with this sharing. These users consist of native (citizens) living in that geographical position not of the CBS specialists. Creating, collecting, sharing and disseminating the geographical data provided by voluntary individuals constitute the Volunteered Geographic Information System. The data in the Volunteered Geographic Information System are received from amateur users. “How reliable will the data received from amateur users instead of specialists of the field be in scientific terms?” In this study, the reliability between the data received from the voluntary users through Volunteered Geographic Information System and real data is investigated. The real data consist of the traffic accident coordinates. The data that will be received from users will be received through the speed values in the relevant coordinates and the marking of the users for possible accident points on the map.

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A GEOGRAPHICAL INFORMATION SYSTEM OF A WEB-BASED FOOD DELIVERY SERVICES

IJID (International Journal on Informatics for Development) ◽

10.14421/ijid.2015.04203 ◽

2015 ◽

Vol 4 (2) ◽

pp. 12

Author(s):

Tofik Aprilliyanto ◽

Muhammad Dzulfikar Fauzi ◽

Muhammad Taufiq Nuruzzaman

Keyword(s):

Information System ◽

Geographical Information System ◽

Food Delivery ◽

Geographical Information ◽

Financial Reports ◽

Web Based ◽

Mobile Web ◽

Order Management ◽

Restaurant Management ◽

Delivery Services

Food delivery services become more popular in Indonesia, which is proven by the number of restaurants that provide delivery services such as KFC, Mc Donald, and others. They are still using the phone to serve the customers. For customers, ordering by phone is less interactive since they cannot see the display of available menus with the prices and other details. For the cashiers, ordering by phone is also less effective since they have to write the menus, prices and addresses manually, whereas nowadays we need automation and the speed becomes a very important factor. This system is using Mobile Web technology and Geographical Information System (GIS), which with this technology the customers can order anywhere, and the order pages will be more interactive. For the cashiers, with this GIS, they do not need to record the data order manually. For food deliver, with the technology of GIS, food delivery processes will become easier due to the visualization of the location of customers, and they also can use the existing tracking features in GIS. The system implements the concept of client-server where the server website is used by restaurants, and mobile websites as client are used by customers for ordering food. The Web server has a notification ordering feature, administrator management, menus management, order management, suggestion management, restaurant management, and financial reports. Client's website has a food order feature, geolocation, and send suggestions features to the restaurant.

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K-Means Clustering untuk Data Kecelakaan Lalu Lintas Jalan Raya di Kecamatan Pelaihari

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2018551113 ◽

2018 ◽

Vol 5 (5) ◽

pp. 613 ◽

Cited By ~ 1

Author(s):

Winda Aprianti ◽

Jaka Permadi

Keyword(s):

Data Mining ◽

Traffic Accident ◽

Traffic Accidents ◽

Distance Measure ◽

Data Traffic ◽

First Aid Training ◽

Accident Data ◽

Special Concern ◽

Clustering Data ◽

Minor Injuries

Kecelakaan lalu lintas di jalan raya masih menjadi penyumbang tingginya angka kematian di Indonesia, sehingga menjadi perhatian khusus bagi kepolisian di negara ini. Termasuk Kepolisian Resor (Polres) Tanah Laut, yang telah membuktikan perhatian tersebut dengan membentuk komunitas korban kecelakaan lalu lintas dan Pelatihan Pertolongan Pertama Gawat Darurat (PPGD). Tahapan awal pencegahan kecelakaan lalu lintas adalah dengan mengetahui faktor-faktor penyebab kecelakaan lalu lintas yang diperoleh melalui analisa data kecelakaan. Analisa tersebut dapat dilakukan dengan data mining, yaitu K-Means Clustering. K-Means Clustering mengelompokkan data menjadi beberapa cluster sesuai karakteristik data tersebut. Data kecelakaan lalu lintas dibagi menjadi 2 dataset, yakni dataset 1 dan dataset 2. Hasil cluster penerapan K-means clustering terhadap dataset 1 dan dataset 2 kemudian dilakukan pengujian silhoutte coefficient untuk mencari hasil cluster dengan kualitas terbaik. Pengujian silhoutte coefficient secara berurutan menghasilkan distance measure paling optimal yakni clustering dengan 4 cluster untuk dataset 1 dan clustering dengan 2 cluster untuk dataset 2. Selain memperoleh cluster dengan kualitas terbaik, penganalisaan data juga menghasilkan beberapa informasi kecelakaan lalu lintas yang sering terjadi, yakni faktor penyebab dan korban kecelakaan adalah pengemudi, umur korban adalah 9 sampai 28 tahun, dan keadaan korban kecelakaan adalah luka ringan. AbstractTraffic accidents on the highway are still contribute to the high mortality rate in Indonesia, which are becoming a special concern for the police. Including the Police of Tanah Laut Resort where prove themselves by established The Community of Traffic Accident Victims and Emergency First Aid Training. The first prevention of traffic accidents is knowing the factors causing traffic accidents which is obtained through the analysis of traffic accident’s data. It can be done through data mining, i.e. K-Means Clustering, which is clustering data into clusters according to characteristics of the data. Traffic accident data is divided into two datasets, namely dataset 1 and dataset 2. After obtaining the cluster results, the next step is to calculate silhoutte coefficient which is used to find the best quality cluster result. The result of testing silhoutte coefficient are clustering with 4 clusters for dataset 1 and clustering with 2 clusters for dataset 2. Analyzing data in this research also produces some information on traffic accidents that often occur, namely the causes and victims of accidents are drivers, the age of the victims is between 9 and 28 years old, and the circumstance of the accidents victims are minor injuries.

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Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

PROMET - Traffic&Transportation ◽

10.7307/ptt.v28i4.1908 ◽

2016 ◽

Vol 28 (4) ◽

pp. 415-424 ◽

Cited By ~ 2

Author(s):

Draženko Glavić ◽

Miloš Mladenović ◽

Aleksandar Stevanovic ◽

Vladan Tubić ◽

Marina Milenković ◽

...

Keyword(s):

Multivariate Regression ◽

Traffic Accident ◽

Traffic Accidents ◽

Prediction Models ◽

Future Research ◽

Practical Application ◽

Accident Prediction ◽

Accident Data ◽

Road Characteristics ◽

The Relationship

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

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Traffic accident analysis based on C4.5 algorithm in WEKA

MATEC Web of Conferences ◽

10.1051/matecconf/201927201035 ◽

2019 ◽

Vol 272 ◽

pp. 01035 ◽

Cited By ~ 1

Author(s):

Jiajia Li ◽

Jie He ◽

Ziyang Liu ◽

Hao Zhang ◽

Chen Zhang

Keyword(s):

Traffic Safety ◽

Traffic Accident ◽

Traffic Accidents ◽

Safety Management ◽

Depth Information ◽

Highway Traffic ◽

Safety Issues ◽

C4.5 Algorithm ◽

Accident Data ◽

The Impact

At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to explore the impact of various factors on the accident. According to the degree of contribution of each variable to the classification effect of the model, various modes affecting the type of the accident are obtained and the overall prediction accuracy is about 80%.

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