For the past 50 years, Traffic Conflict Technique (TCT) has been growing rapidly as Surrogate Safety Measure (SSM). Unfortunately, the study of TCT as a road safety analysis tool in Indonesia is still limited. This article aims to describe the developments of TCT, regarding to the use of manual observation, automated video analysis and simulations with the Surrogate Safety Assessment Model (SSAM). This article also aims to identify the challenges of TCT implementation in improving road safety in Indonesia. Thus, it is expected to inspire researchers in Indonesia to develop TCT, for example by using Unmanned Aerial Vehicle (UAV) and microsimulation in TCT studies.

Safety, speed, and capacity should be taken into account for designing intersection (AASHTO, 2001). Therefore, it is necessary to know the conflicts at the intersection. This experimental research aims (1) to find out the performance of Malang Sulfate Canal intersection, (2) to know the conflicts in it, and (3) to find the best recommendation. MKJI, PTV Vissim 10, and Surrogate Safety Assessment (SSAM) were used for data analysis. The result shows that the delay value at the peak hour was 54.4 seconds with an E service level category. The conflicts at the highest peak hours were 2782 conflicts (2035 crossing conflicts and 747 lane-change conflicts). At the end, widening the road reduced the number of traffic conflict by 26% and the delay value by 2%.

Tempat perhentian angkutan atau halte atau shelter adalah tempat untuk menaikkan dan menurunkan penumpang, biasanya ditempatkan pada jaringan pelayanan angkutan. Penelitian tantang halte telah dilakukan oleh beberapa peneliti sebelumnya baik dilihat dari sis teknis maupun dari sisi persepsi pengguna. Karena pada dasarnaya penyediaan halte ini selain keandalan dan kinerja, salah satu faktor yang dapat mempengaruhi minat masyarakat untuk menggunakan angkutan umum adalah kenyamanan dan estetikadari fasilitas pendukungnya. Penelitian ini bertujuan untuk mengevaluasi fasilitas halte dan keberaan halte serta menentukan kebutuhan halte baik dari sisi teknis aksesibilitas maupun persepsi masyarakat. Penelitian ini menghasilkan kesimpulan Kebutuhan penyediaan halte mengedepankan pelayanan dari angkutan umum itu sendiri dan kebutuhan dari masyarakat baik dari tata letaknya maupun desain halte agar tercapai pelayanan yang optimal serta dapat menguruangi penggunaan angkutan pribadi dan meningkatkan penggunaan angkutan umum. Dari 27 halte eksisting terdapat 4 unit halte harus dibongkar/pindah, sedangkan 23 unit masih dapat melayani pelayanan angkutan. Berdasarkan hasil analisis kebutuhan diperoleh kebutuhan halte tambahan sebanyak 24 unit.

Sight distance that’s not suitable with the standard, the queue time and the low awareness of vehicle users to give priority to other road users is the reasons for the hampered of traffic movements and reducing the use of intersections. The majority of vehicles for or on minor road use the opponent’s lane because there are no markers, this causes conflict crossing and merging.  The researchers conducted study of Junction Metering which consisted of control and sensor settings to improve safety for road users. The method that used for analysis of intersection performance using calculation by software Vissim Full Version and Gap Raff and Hunt. Data collected in this study consisted of four aspects, (1) inventory of intersections; (2) traffic volume; (3) traffic speed; and (4) timelapse. Then alternative junction metering carried out with existing condition. Variable of comparison are level of service, queue length and vehicle delay. The Effectiveness alternative treatment using junction metering can reduce the queue length by 75% and vehicle delay by 17% with the average level of service is A.

This study aims to (1) determine the factors affecting the mode preference in Tegal, (2) determine the factors affecting the potential use of non-motorized transportation in Tegal, and (3) investigate the relationship model among these factors. PLS Structural Equation Modelling (SEM) method was used. The results revealed (1) socio-economic characteristics (KSE) with vehicle ownership indicators influenced the mode choice level, (2) socio-economic characteristic variables with vehicle ownership indicators, travel intention variable (MP) covering working, shopping, and worship indicators, and self-preservation behaviour variable during the pandemic affected the potential use of non-motorized transport [0.801 KSE; (R2= 0,647)] (3) the relationship model among variables [Socio-economy (KSE), purpose of travel (MP), and self-preservation behaviour (PMD)] was =0,280 KSE+ 0.317 MP-0.175 PMD; (R2=0,2570)