ABSTRAKSI: Permasalahan kemacetan kerap kali dihubungkan dengan sistem pengaturan lalu lintas. Selama ini, sistem pengatur lalu lintas yang umum digunakan adalah Fixed Time Traffic Light Controller dimana bekerja dalam waktu yang telah ditetapkan terlebih dahulu. Namun metode ini masih menyebabkan kemacetan.
Pada tugas akhir ini dikembangkan suatu sistem yang mampu melakukan optimasi pengatur lampu lalu lintas. Dengan menggunakan metode pemodelan Cellular Automata dan Algoritma Optimasi Artificial Bee Colony dapat diperoleh optimasi waktu tunggu dalam penjadwalan lampu lalu lintas. Semakin optimal waktu tunggu yang dihasilkan oleh sistem maka dapat dikatakan akurasi sistem semakin tinggi.
Sistem simulasi ini mensimulasikan data pada satu persimpangan lalu lintas dengan 3 ruas antrian kendaraan. Dari proses simulasi didapatkan bahwa sistem Adaptive/Actuated Traffic Light ABC dapat mengurangi panjang antrian kendaraan (queue length) berkisar 92.3% hingga 95% dibandingkan dengan fixed time, waktu tunggu (waiting time) berkisar 10% hingga 54.7% dibandingkan dengan fixed time dan kepadatan kendaraan (vehicle denstity) berkisar 65% hingga 95% dibandingkan dengan fixed time.
Kata Kunci : kemacetan, lalu lintas, fixed time traffic light controller, cellular automata, artificial bee colony algorithmABSTRACT: The traffic jam problem is considered and related with traffic light management. Recent years, traffic light controller system commonly used is Fixed Time Traffic Light Controller. This controller is previously set based on fixed time. Every road intersection is served with the same green light time although the density is not in the same level. This could lead into very heavy traffic jam and road congestion.
In this thesis, a simulation system has been developed in order to optimize Fixed Time Traffic Light Controller. A modeling method, Cellular Automata, has been designed to model the road intersection and vehicles. Optimization Algorithm, Artificial Bee Colony, has also been implemented in order to optimize the waiting time of each vehicles in a single road intersection. A better result on waiting time and vehicle queue in each road intersection would reflect the accuracy and performance of this simulation system.
This simulation system simulates data in a single road intersection with three parts of road. The testing process shows that this system could reduce vehicle density until 95% , waiting time until 54.7% and queue length until 95% in a comparison with fixed time traffic light controller.
Keyword: traffic jam, road intersection, fixed time traffic light controller, cellular automata, artificial bee colony algorithm