Road Traffic Modeling and Management

Some recent advances in the application of fractal tools for studying complex signals are presented. The first part of the paper is devoted to a brief description of the theoretical methods used. These essentially consist of generalizations of previous techniques that allow us to efficiently handle real signals. We present some results dealing with the multifractal analysis of sequences of Choquet capacities, and the possibility of constructing such capacities with prescribed spectrum. Related results concerning the pointwise irregularity of a continuous function at each point are given in the frame of iterated functions systems. Finally, some results on a particular stochastic process are sketched: the multifractional Brownian motion, which is a generalization of the classical fractional Brownian motion, where the parameter H is replaced by a function. The second part consists of the description of selected applications of current interest, in the fields of image analysis, speech synthesis and road traffic modeling. In each case we try to show how a fractal approach provides new means to solve specific problems in signal processing, sometimes with greater success than classical methods.

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PENGEMBANGAN JARINGAN JALAN NASIONAL DI SULAWESI UTARA DAN GORONTALO

Jurnal Transportasi ◽

10.26593/jtrans.v20i1.3857.67-76 ◽

2020 ◽

Vol 20 (1) ◽

pp. 67-76

Author(s):

Triono Junoasmono ◽

Hansen Samuel Arberto Gultom ◽

Brian Sixon Christian Umboh ◽

Anastasia Caroline Sutandi

Keyword(s):

Road Network ◽

Road Traffic ◽

Secondary Data ◽

Traffic Modeling ◽

The Road ◽

North Sulawesi ◽

Road Development ◽

Traffic Volumes ◽

National Road

Abstract The development of the road network is needed to determine the extent of the road network of a city or region that requires handling and development, both in the long term, medium term and short term. The purpose of this study is to obtain a master plan for the development of the national road network in North Sulawesi and Gorontalo Provinces, as a basis for planning the development of the road network for the next 5 years. The data used are primary and secondary data. Based on the results of traffic modeling, the majority of national roads in North Sulawesi Province and in Gorontalo Province have relatively small traffic volumes. The projection results, from 2020 to 2025, show that there are 7 roads that require handling and capacity improvement. Keywords: road network, national road, traffic modeling, road capacity, road development Abstrak Pengembangan jaringan jalan diperlukan untuk mengetahui sejauh mana jaringan jalan suatu kota atau wilayah memerlukan penanganan maupun pengembangan, baik untuk jangka panjang, jangka menengah, maupun jangka pendek. Tujuan penelitian ini adalah untuk mendapatkan suatu rencana induk pengembangan jaringan jalan nasional di Provinsi Sulawesi Utara dan di Provinsi Gorontalo, sebagai basis perencanaan pengembangan jaringan jalan hingga 5 tahun yang akan datang. Data yang digunakan adalah data primer dan data sekunder. Berdasarkan hasil pemodelan lalu lintas, mayoritas jalan nasional di Provinsi Sulawesi Utara dan di Provinsi Gorontalo memiliki volume lalu lintas yang relatif kecil. Hasil proyeksi dari tahun 2020 sampai dengan tahun 2025, menunjukkan bahwa terdapat 7 ruas jalan yang memerlukan penanganan dan peningkatan kapasitas. Kata-kata kunci: jaringan jalan, jalan nasional, pemodelan lalu lintas, kapasitas jalan, pengembangan jalan

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An Integrated Turning Movements Estimation to Petri Net Based Road Traffic Modeling

Journal of Sensor and Actuator Networks ◽

10.3390/jsan8030049 ◽

2019 ◽

Vol 8 (3) ◽

pp. 49

Author(s):

Youness Riouali ◽

Laila Benhlima ◽

Slimane Bah

Keyword(s):

Traffic Flow ◽

Road Traffic ◽

Transport Systems ◽

Traffic Modeling ◽

New Approach ◽

Intelligent Transport ◽

The Road ◽

Dynamic Estimation ◽

New Feature ◽

Overall Functioning

The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements.

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