OPTIMIZATION OF ETLE CAMERA LOCATION AND DIRECTION USING SEQUENTIAL SEARCH AND FUZZY LOGIC
A traffic violation is one of the problems in big cities in Indonesia. There are many factors that influence the occurrence of traffic violations, one of which is the lack of human awareness in driving. There are still many drivers who only "aware" when there are police. If there are no po...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/65258 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | A traffic violation is one of the problems in big cities in Indonesia. There are many factors that influence the occurrence of traffic violations, one of which is the lack of human awareness in driving. There are still many drivers who only "aware" when there are police. If there are no police, they again ignore the traffic rules. To anticipate this phenomenon, currently the police have taken action against traffic violators with a digital system, namely the National Precision Electronic Traffic Law Enforcement (ETLE) which has been implemented in 26 regional police stations throughout Indonesia. Therefore, final project entitled “Optimization of ETLE Camera Location and Direction Using Sequential Search and Fuzzy Logic” discusses the optimal location and direction of the ETLE camera so that the installed ETLE camera monitors roads that are prone to traffic violations and even traffic accidents so that the utilization of ETLE is more targeted.
The final project method is a literature study using secondary data from the website of Pxxx Regency Transportation Office, namely Annual Average Daily Traffic (AADT) of Pxxx Regency and also secondary data from Google Earth, namely coordinate data for points of intersection, turn, and traffic light locations. The final project takes the area around Pxxx Regency Square and its regent's office, as a studied area. The theoretical basis used is a graph theory, fuzzy logic, vertex cover, and sequential search.
The final project result consists of three parts, i.e. weights that represent the level of vulnerability to traffic violations or even traffic accidents for each road segment, the optimal direction of the ETLE camera at each turn in traffic monitoring, and the optimal location of ETLE cameras when there is a limited number of cameras that can be installed. |
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