ANALISIS DISTRIBUSI PROBABILITAS DAN KENDALI OPTIMAL PERSIMPANGAN = PROBABILITY DISTRIBUTION ANALYSIS AND OPTIMAL CONTROL INTERSECTION

Mulyadi Sinung Harjono, Wimpie A.n Aspar, Abdul Halim, Kalamullah Ramli

Research output: Contribution to journalArticlepeer-review

Abstract

Research traffic dynamics modeling requires the enumeration of traffic flow data on many road network nodes. Information enumeration traffic flows are applied to the analysis model of the road network control or control the intersection area, either as a standalone junction (isolated) and the coordinative intersection. Classification of types and traffic conditions used for this control is determined by ITS transportation management policy or government. Estimation and prediction of traffic conditions in real terms are based on information obtained by traffic counting. Counting of traffic flows is aimed to determine the probability distribution function (pdf) traffic flow for the intersection of two segments, namely Jalan Kyai Haji Wahid Hasyim - Jalan Mohammad Husni Thamrin and Jalan Kebun Sirih - Jalan Mohammad Husni Thamrin, Jakarta, Indonesia. Signalized intersection is composed of roads with 12 lanes and 4 lanes with traffic signs and fixtures actuated traffic control system using historical data. Based on the evolution of the combined token, it was obtained fundamental equation for the evolution of the token. Based on the modeling, the needs of departure vehicle for red light violators and breakthrough yellow light, it would require further development to SimHPN. Modeling and simulation of hybrid Petri nets on this research are aimed to perform optimal control system for traffic flow, the number of vehicles at intersections, in order to obtain optimal current flow in the study area.
Original languageEnglish
Pages (from-to)21-26
JournalMajalah Ilmiah Pengkajian Industri
Volume9
Issue number1
DOIs
Publication statusPublished - 2015

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