Conflict: Existing Traditional Traffic Law vs Modern Provisions in Pakistan

2021 ◽  
Author(s):  
Muneeb Amjad
Keyword(s):  
Traffic Law

Factors to Influence Public Compliance with Traffic Law

2020 ◽  
Vol 16 (1) ◽  
pp. 159-172
Author(s):  
Chang-Ho Lim
Keyword(s):  
Traffic Law

Traffic law enforcement

1981 ◽  
Vol 13 (2) ◽  
pp. 156-157
Author(s):  
James Keene
Keyword(s):  
Law Enforcement ◽  
Traffic Law ◽  
Traffic Law Enforcement

Book Review: Road Traffic — Law and Practice

1995 ◽  
Vol 68 (4) ◽  
pp. 375-376
Author(s):  
R. Jerrard
Keyword(s):  
Road Traffic ◽  
Traffic Law

scholarly journals Android-based E-Traffic law enforcement system in Surakarta City

2018 ◽  
Author(s):  
Budi Yulianto ◽  
Setiono
Keyword(s):  
Law Enforcement ◽  
Traffic Law ◽  
Traffic Law Enforcement

scholarly journals The impact of traffic law enforcement on road accident fatalities in Botswana

2011 ◽  
Vol 5 (1) ◽  
Author(s):  
Thuso Mphela
Keyword(s):  
Law Enforcement ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Secondary Data ◽  
Road Accident ◽  
Driver Behaviour ◽  
Traffic Law ◽  
Traffic Law Enforcement ◽  
To Come ◽  
The Impact

Botswana has one of the highest rates of increase in road traffic accidents and fatalities in the world. The amendment of road laws came with stricter penalties for road offences which included higher fines and longer jail terms. This study uses multiple regression analysis subjecting variables to backward stepwise regression with a view to assessing the impact traffic law enforcement has had on fatalities in Botswana after the review of the Traffic Act of Botswana in 2008. The study uses secondary data and interview data obtained from law enforcers. The findings reveal that the enforcement of the new road laws has achieved little in the reduction of fatalities. Increasing the minimum driver licensing age may be a panacea to road accidents. Licensed drivers in the age group 30 to 45 years have the lowest rate of fatalities. The study questions the ability of punitive policies (i.e. road fines) to reduce fatalities. It offers that driver behaviour should be studied to come up with relevant policies.

scholarly journals EVALUASI PELAPORAN KAMSELTIBCAR LANTAS DALAM MENDUKUNG PELAPORAN DEKADE AKSI KESELAMATAN JALAN

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Nunung Nuring Hayati ◽  
Ni Nyoman Suartini ◽  
Achmad Wicaksono ◽  
Ike Fibriani ◽  
Mirtha Firmansyah ◽  
...  
Keyword(s):  
Data Mining ◽  
Road Safety ◽  
Road Transport ◽  
Public Knowledge ◽  
Traffic Law ◽  
Using Data ◽  
Two Parameters ◽  
Self Protection ◽  
The Relationship ◽  
Made In

Kamsebtibcar Lantas or secure, safety, orderliness, and fluency of traffic are made in support of road safety actions reporting on traffic due to the lack of public knowledge about the importance of using self-protection tools that have been determined in traffic law number 22 of 2009 concerning traffic and road transport. By using this program, you can find out the relationship between the factors that cause accidents. From those collected from various regions in East Java, taken from 2016 to 2018. The data obtained can be processed using data mining techniques. This technique works by using a pattern that is a reference for decision making. By using the Fp-Growth algorithm that works with the data tree system to find out the patterns of reporting activities that are happening, this pattern is determined by two parameters, namely support (support value) and confidence (certainty value). With this system, it can help the parties concerned to improve facilities in various Kamseltibcar Lantas reporting activities. Kamsebtibcar lantas atau keamanan, keselamatan, ketertiban, dan kelancaran lalu lintas dibuat dalampedalam mendukung pelaporan aksi keselamatan jalan pada lalu lintas yang dikarenakan minimnya pengetahuan masyarakat tentang pentingnya penggunaan alat perlindungan diri yang telah ditentukan pada undang-undang nomor 22 tahun 2009 tentang lalu lintas dan angkutan jalan. Dengan menggunakan program ini dapat mengetahui hubungan antara faktor-faktor penyebab kecelakaan. Data yang dikumpulkan dari berbagai daerah yang ada di wilayah Jawa Timur diambil pada tahun 2016 sampai dengan 2018. Data yang telah didapat dapat diolah menggunakan teknik data mining. Teknik ini berfungsi dengan menggunakan pola yang menjadi acuan untuk penentuan keputusan. Dengan menggunakan algoritma Fp-Growth yang bekerja dengan sistem data tree untuk mengetahui pola kegiatan pelaporan kamsebticar lalu lintas yang sedang terjadi, pola ini ditentukan dengan dua parameter, yaitu support (nilai penunjang) dan confidence (nilai kepastian). Dengan sistem ini dapat membantu pihak yang berkaitan untuk meningkatkan fasilitas dalam berbagai kegiatan pelaporan Kamseltibcar Lantas.

Motorcycle accident mortality in Lagos, Nigeria: Impact of a traffic law

2016 ◽  
Vol 5 (2) ◽  
pp. 43 ◽  
Author(s):  
FrancisAdedayo Faduyile ◽  
FestusEdobor Emiogun ◽  
SundaySokunle Soyemi ◽  
OlugbengaOlaide Oyewole
Keyword(s):  
Motorcycle Accident ◽  
Traffic Law

Traffic Law Enforcement

1938 ◽  
Vol 29 (1) ◽  
pp. 119
Author(s):  
Ray Ashworth
Keyword(s):  
Law Enforcement ◽  
Traffic Law ◽  
Traffic Law Enforcement
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