scholarly journals Implementasi Kebijakan Penyelenggaraan Lalu Lintas Dan Angkutan Jalan (Studi Kasus Penyediaan Perlengkapan Jalan Umum yang Berstatus Sebagai Jalan Kota di Kecamatan Pekanbaru Kota)

Jurnal Niara ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 284-291
Author(s):  
Ikhsan Risniawan Putra ◽  
Febri Yuliani ◽  
Hasim As'ari
Keyword(s):  
Decision Making ◽  
Program Implementation ◽  
Qualitative Method ◽  
Road Traffic ◽  
Policy Environment ◽  
Policy Actors ◽  
The Road ◽  
Limited Budget ◽  
Compliance Level ◽  
Implementation Resources

Abstract This research is based on the purpose of Regional Regulation No.10 of 2017 which is to realize road traffic and transportation in Pekanbaru Kota can be safe, comfortable and efficient which has not been reached. the purpose of this research is to determine the implementation and what factors hinder implementation the policy the provision of road equipment in Pekanbaru Kota Distric. This research uses Grindle theory, namely the content variables of this policy include: group interests, types of benefits, changes to be achieved, location of decision making, program implementation, resources used. The policy environment includes: Power, interests, and strategy of policy actors; Characteristics of the institutions; Group compliance level. This study used descriptive qualitative method. The results of this study indicate that the implementation or application of the road equipment provision policy in Pekanbaru Kota District is seen from the process or workflow is good, but there are several obstacles, namely: road facilities that are less maintenance so that the benefits of this policy have not been maximally realized. The factors that hindered this policy were limited budget, bad behavior of public elements and poor maintenance of road equipment.   Keywords : Implementation of Policy, Traffic, Road Equipment.

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

scholarly journals Segment-Based Approach for Assessing Hazard Risk of Coastal Highways in Hawai‘i

2019 ◽  
Vol 2673 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang
Keyword(s):  
Qualitative Method ◽  
Data Sets ◽  
Regional Environment ◽  
The Road ◽  
Hazard Exposure ◽  
Multiple Indicators ◽  
System Data ◽  
Rural Highway ◽  
Geographic Information System Data

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

scholarly journals Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

2021 ◽  
Vol 13 (12) ◽  
pp. 2329
Author(s):  
Elżbieta Macioszek ◽  
Agata Kurek
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Volume ◽  
The Road ◽  
Traffic Characteristics ◽  
Annual Average Daily Traffic ◽  
On The Road ◽  
The Impact ◽  
The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

A Kalman filtering fuzzy logic algorithm for recognition of lane departure

2021 ◽  
pp. 1-8
Author(s):  
Kai Ren
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Kalman Filtering ◽  
Traffic Accidents ◽  
Region Of Interest ◽  
Fuzzy Logic Algorithm ◽  
The Road ◽  
Departure Decision ◽  
Lane Departure ◽  
Fusion Analysis

In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment.

Mitigation of road traffic crash hazard in Pakistan

2014 ◽  
Vol 23 (5) ◽  
pp. 567-585
Author(s):  
Muhammad Masood Rafi ◽  
Ashar Hashmat Lodi ◽  
Muhammad Arsalan Effendi
Keyword(s):  
Road Traffic ◽  
Evaluation Model ◽  
Road Traffic Crash ◽  
Potential Hazard ◽  
Suggested Model ◽  
Male Population ◽  
Content Type ◽  
The Road ◽  
On The Road ◽  
The City

Purpose – Road traffic crashes (RTCs) result in creating significant social and economic hazard for affectees, their families and society. The purpose of this paper is to present studies which were conducted to study the patterns of RTCs in Karachi which is a metropolitan city of Pakistan. The studies were conducted on one of the busiest roads in the city named as Shara-e-Faisal. The influence and contribution of different factors in RTCs has been studied and hazardous road sections of Shara-e-Faisal have been identified. Based on the data analysis, an evaluation model has been suggested to reduce the hazard of RTCs on Shara-e-Faisal. The objective of the presented studies is to increase the present level of safety of road travel by reducing crashes on Shara-e-Faisal. Design/methodology/approach – Existing data of RTCs in Karachi have been analysed for the presented studies. For this purpose, Shara-e-Faisal was divided in sections of 1 km length to study the vehicle crash pattern. Location surveys were conducted to record physical conditions of this road. A cluster analysis was carried out to identify hazardous sections of the road. An evaluation model has been suggested in the end to reduce the hazard of RTCs by identifying hazardous road sections of Shara-e-Faisal. Findings – The analysis of the data revealed that the crashes were higher over weekend and on Monday. Male population, particularly young people, and motorcycle riders were the largest affectees of RTCs. In general, more daytime crashes were recorded as compared to nighttime crashes. The crashes in the mid block of the road and those involving rear-end collisions were higher. The hazardous road locations were related to poor road conditions. Statistical analysis indicated that alternate routes were required to reduce the RTC hazard on Shara-e-Faisal. Research limitations/implications – The paper is a small, but an original, contribution to identify a potential hazard which is faced by the community in the city. This is the first attempt (to the best of authors’ knowledge) to address the issue of RTCs in Karachi from an engineering view point. Practical implications – The suggested model can be employed by the authorities as a guideline to mitigate the hazard of road crashes in the country. Originality/value – The paper provides valuable information on the road traffic incidents, their pattern and contributing factors in one of the largest metropolis of Pakistan. The suggested model can become helpful in reducing RTCs in Pakistan.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

LATAR BELAKANG PENGAMBILAN KEPUTUSAN VLADIMIR PUTIN ATAS ISU KRIMEA

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Osvaldo Victor Alfonso ◽  
Agung Yudhistira Nugroho
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Identity Politics ◽  
Research Method ◽  
Qualitative Method ◽  
Military Intervention ◽  
Electronic Media ◽  
Economic Politics ◽  
Rational Choices ◽  
Vladimir Putin

AbstrakPenelitian ini menggambarkan tentang berbagai latar belakang pengambilan keputusan Putin atas isu Krimea yang melihat dasar-dasar pengambilan keputusan seperti intuisi, pengalaman, fakta, wewenang, dan rasionalitas yang memengaruhi Putin dalam melakukan aksi aneksasi Krimea tersebut. Dalam penulisan skripsi ini, sang penulis menggunakan kerangka teori Pengambilan Keputusan (Decision Making) yang merupakan topik utama sekaligus pisau analisa dalam penelitian ini. Metode penelitian yang digunakan oleh sang penulis dalam penyusunan skripsi ini adalah metode kualitatif. Adapun teknik pengumpulan data yang digunakan oleh sang penulis dalam memperoleh data adalah melalui wawancara dan studi pustaka yang menelaah sejumlah buku, jurnal, artikel ilmiah, dan media elektronik. Hasil penelitian menunjukkan bahwa latar belakang pengambilan keputusan Vladimir Putin adalah berdasarkan pilihan rasional dengan melihat pertimbangan materil seperti memberi keuntungan di sektor keamanan, ekonomi, politik, memberikan peluang Rusia menjadi negara adidaya, dan pengamanan jalur pipa gas Rusia di Ukraina dan Krimea. Yang menarik dari tindakan yang diinisiasi oleh Putin itu adalah aksi tersebut dalam merebut suatu wilayah tanpa pencurahan darah. Ini adalah hal yang menarik bagi sang penulis karena bagaimana mungkin suatu intervensi militer di suatu wilayah tidak terjadi penyerangan dari pihak luar ke dalam suatu wilayah, dalam hal ini adalah aksi Rusia kepada Krimea. Politik keamanan, politik identitas, dan politik ekonomi mewarnai Putin dalam pengambilan keputusannya atas isu Krimea tersebut.Kata Kunci: Vladimir Putin, Pengambilan Keputusan, Pilihan                          Rasional, Rusia, Krimea, Ukraina.Abstract This research describes the various backgrounds of Putin's decision making on the Crimean issue which looks at the basics of decision making such as intuition, experience, facts, authority and rationality that influenced Putin in carrying out the Crimean annexation. In writing this thesis, the writer uses the theoretical framework of Decision Making which is the main topic as well as the analysis knife in this research. The research method used by the author in the preparation of this thesis is a qualitative method. The data collection techniques used by the author in obtaining data are through interviews and literature studies that examine a number of books, journals, scientific articles, and electronic media. The results show that the background of Vladimir Putin's decision making is based on rational choices by looking at material considerations such as providing benefits in the security, economic, political sectors, giving Russia the opportunity to become a superpower, and securing Russian gas pipelines in Ukraine and Crimea. What's interesting about the action initiated by Putin is that it seizes an area without shedding blood. This is an interesting matter for the author because how could a military intervention in a region not occur from outside attacks into an area, in this case Russia's action against Crimea. Security politics, identity politics and economic politics colored Putin in his decision making on the Crimean issue. Keywords:  Vladimir Putin, Decision Making, Rational Choice,                          Rusia, Crimea, Ukraine.

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