The origin-destination (O-D) matrix is fundamental data for transportation planning. It is a primary process for modelling approaches the public transport. Generally, the observation survey of O-D volumes takes much cost, time, and effort. Therefore, establishing an inexpensive and simple observation method is expected to be able to carry out the continuous observation of passengers O-D volumes. Defined that many problems in transport planning and management tasks require an origin-destination (O-D) matrix to represent the travels pattern. The need for low-cost methods to estimate current and future O-D matrix is even more valuable in developing countries because of the rapid changes in population, economic activity, and land use. In this study, the O-D matrix use for modelling trip distribution of passenger in the current and future situation and plotting the model with Visum as a macro simulation program. This study focuses on the O-D volumes on a line of local public transport service. The on-board observation is carrying out, and the frequency of service is observed. Then, the passengers O-D matrix is estimated. These results must be useful to improve the operation of the service of public transport.
The traffic accidents often occur due to the lack of awareness while driving. The variance reason such us undisciplined and unwise to be polite when driving is the main cause of crashes. Road safety is one of the important roles to support and to develop to the commonwealth. This research aims to investigate the potential risk of speeding on a national road in Makassar. The driver performance the speeding is more occurs in the midnight till dawn. The situation of drivers while speeding is conducted to make them arrived early to the destination. The respondents' preferences also show the speed of the vehicle through the national road is around 40 – 60 km/hour. It is still in normal speed requirement at least 60 km/hour. Potensi kecelakaan akibat ketidaktertiban dalam berlalu lintas dapat terjadi. Penyebab kecelakaan lalu lintas dapat beragam seperti kurangnya kesadaran untuk berkendara secara bijak dan tertib serta penuh tanggung jawab. Pentingnya menjaga ketertiban ketertiban berkendara merupakan salah satu upaya dalam mendukung pembangunan dan integrasi nasional untuk memajukan kesejahteraan umum. Dalam melihat potensi risiko kecelakaan maka dilakukan suatu studi terkait perilaku pengendara kendaraan bermotor yang melampaui batas kecepatan pada ruas jalan di nasional di kota Makassar. Kecenderungan pengendara kendaraan bermotor yang melampaui batas kecepatan maksimum banyak terjadi pada malam hingga dini hari dengan tujuan agar pengendara sampai lebih cepat atau tepat waktu. Hasil wawancara juga menunjukkan bahwa responden mayoritas menggunakan kecepatan pada kisaran 40 – 60 km/jam dan masih masuk dalam kategori kecepatan normal dan tidak melampaui batas maksimum .
Previous studies found that delay at signalized intersection accounted for more than one-third of total travel time. Different level of services tends to have different delay probability. An early assumption was made that multimodality occurs because of two traffic states experienced by the traveler; delay and non-delay at the signalized intersection. This study proposed a method to quantify delay distribution at a signalized intersection by analyzing the patterns in the speed time and speed distance profiles when passing two consecutive intersections and redrawing vehicle trajectory generated by ‘second by second’ GPS data. The searching algorithm was developed to search for the times when the vehicle enters and leaves the delay section by checking the ‘second by second’ speed data. To differentiate between the queue, move up and stop and go traffic, the algorithm searches for the idle time (i.e. when the speed less than 3.5 km/h). Along with Sydney Coordinates, Adaptive Traffic Systems (SCATS) degree of saturation and signal settings (green and red time) generating from SCATS systems at upstream loop detectors, a realistic delay probability model also was developed. This model used the General Additive Model for Location, Shape, and Scale (GAMLSS) which allows location, scale and shape parameter of selected distribution as a function of the explanatory variable. Signal settings and SCATS degrees of saturation were used as an explanatory variable. This model enables us to estimate delay experiencing by traveler depending on traffic parameters including traffic flow, signal settings and degree of saturation that are readily available on the site.
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