scholarly journals An Assessment on the Locational Pattern of Petrol Filling Stations along Lasu-Isheri Road Corridor

2020 ◽  
Vol 6 (2) ◽  
pp. 6-29
Author(s):  
Esther O. Akinsulire ◽  
Samson O. Fadare
Keyword(s):  
Road Traffic ◽  
Traffic Volume ◽  
Primary Data ◽  
Positioning System ◽  
Z Score ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
The Road ◽  
Lagos State ◽  
On The Road

This study aimed at assessing the location and spatial distribution of petrol filling stations along LASU/Isheri Road, Ojo, Lagos state. The objectives are to map out all the petrol filling stations in along Lasu/Isheri road; to examine the volume of traffic along the road corridor; to determine the contribution of petrol filling stations to the traffic volume on the road, and to ascertain the road traffic challenges that are caused by the petrol filling stations (PFS). Geographical Positioning System (GPS) was employed to collect primary data; also, questionnaires and traffic count sheets were employed. The study found that the PFS along the road corridor is clustered with a Z-score of -7.34 and NNI of 0.440285. Also, the maximum peak hour volume was estimated to be 4198.6 pcu/hr. The PFS along the corridor are seen to contribute significantly to the traffic volume on the corridor. Finally, the dominant traffic challenges along the corridor include traffic gridlock which sometimes results into road traffic crashes which are triggered by the concentration of PFS in the study area, the proximity of PFS to a road intersection, overflow of the queue into the roadway, and to a minimal extent parking of tankers along the roadway and lack of setback. This study suggests strategies that can be adopted for locating PFS to ensure the free flow of traffic along the road corridor where they are located.

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.

scholarly journals PENGARUH KEMACETAN DI SIMPANG SABILILLAH TERHADAP IMPLEMENTASI CITRA LALU LINTAS DI SIMPANG PROGRESIF

2015 ◽  
Vol 9 (2) ◽  
pp. 114
Author(s):  
Supiyono, Dwi Ratnaningsih, Rudy Ariyanto
Keyword(s):  
Road Traffic ◽  
Flame Length ◽  
Traffic Volume ◽  
Signalized Intersections ◽  
Degree Of Saturation ◽  
The Road ◽  
Road Section ◽  
On The Road ◽  
High Traffic Volume

Progress of a country in line with the progress of traffic (transport). Fluency in traffic is determined by the smoothness of traffic on the road. Problems often arise on the highway is congestion at the intersection. Neither was signalized intersections and signalized intersections. Problems at the intersection is less accuracy green flame at the intersection with the number of vehicles in a segment. A road with high traffic volume vehicle green flame low while other road traffic volume small green flame length. So in a long queue roads, while other roads are deserted while still green flame.     This study aims to minimize the occurrence of conflic at the intersection of green flame. Research will make iterations in the intersection, where a road section which will be nominated densely green flame, the flame of the green according to the volume of traffic on these roads. Each road will be a green flame in accordance with the volume of traffic, without having to change any program there is a change in traffic volume.The degree of saturation of the calculation obtained by ....Keywords: roads, hight traffic, progressive intersection, degree saturation

Pedestrian Safety and the Built Environment

2015 ◽  
Vol 30 (4) ◽  
pp. 377-392 ◽  
Author(s):  
Philip Stoker ◽  
Andrea Garfinkel-Castro ◽  
Meleckidzedeck Khayesi ◽  
Wilson Odero ◽  
Martin N. Mwangi ◽  
...  
Keyword(s):  
Built Environment ◽  
Road Traffic ◽  
Pedestrian Safety ◽  
Road Traffic Injury ◽  
Built Environments ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Urban And Regional Planning ◽  
The Road ◽  
Traffic Injury

Urban and regional planning has a contribution to make toward improving pedestrian safety, particularly in view of the fact that about 273,000 pedestrians were killed in road traffic crashes in 2010. The road is a built environments that should enhance safety and security for pedestrians, but this ideal is not always the case. This article presents an overview of the evidence on the risks that pedestrians face in the built environment. This article shows that design of the roadway and development of different land uses can either increase or reduce pedestrian road traffic injury. Planners need to design or modify the built environment to minimize risk for pedestrians.

scholarly journals Factors Influencing Road Traffic Delay: Drivers’ Perspectives And Loss Of Man-Hour Along Lagos-Abeokuta Expressway, Lagos, Nigeria

1970 ◽  
Vol 10 (5) ◽  
pp. 618-628
Author(s):  
A.I. Bako ◽  
O.O. Agunloye
Keyword(s):  
Road Traffic ◽  
Secondary Data ◽  
Sampling Technique ◽  
Likert Scale ◽  
Traffic Volume ◽  
Primary Data ◽  
The Road ◽  
Factors Influencing ◽  
Traffic Delay ◽  
Bus Stops

This study examined drivers’ perception of road traffic delay attributes and factors influencing road traffic delay with a view to assessing loss of man hours along Lagos-Abeokuta Expressway. This view translated to policy statements that can tremendously reduce the road traffic delay in the study area. Primary data were collected through questionnaire administration, traffic volume survey and direct field observation while the secondary data were obtained from past relevant journals, textbooks among others. The sample frame evolved from an average of 3 day traffic volume survey, which translated into 17,647 drivers between 7 am – 7 pm in the study area. The sample size was 117 (0.007%) as the purposive sampling technique was adopted. The frequency tables and likert scale outputs were adopted for data analyses.  The study found that most drivers along this road were majorly (75.2%) young educated working adults while the trips made accounted for the concentration of work and after-work trips along this road. The study revealed that traffic delay along the road was largely due to indiscreet use of bus-stops, bad roads condition, drivers’ recklessness with DAI values of 4.70, 3.77 and 3.41 respectively using a 5 Point Likert Scale. This study established that a total of 2,920 ‘man-hours’ was lost annually on this road as the daily accumulated estimate for man hour loss was estimated as 8 hours per day. The strict enforcement and monitoring of proper usage of bus-stops and prompt rehabilitation of bad roads are needed among other recommendations.Key Words: Road Traffic Delay, Drivers’ Perspectives, Man-Hour Loss

scholarly journals Practice Analysis of Road Traffic Crashes Accident of a City in China

2012 ◽  
Vol 5 ◽  
pp. 105-110
Author(s):  
Li Wei Hu ◽  
Jian Xiong
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Crash Severity ◽  
Crash Analysis ◽  
Expected Number ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Road Crashes ◽  
The Road ◽  
Types Of Information

Many studies focused on the development of crash analysis approaches have resulted in aggregate practices and experiences to quantify the safety effects of human, geometric, traffic and environmental factors on the expected number of deaths, injuries, and/or property damage crashes at specific locations. Traffic crashes on roads are a major cause of road crashes in the metropolitan area of Xi’an. In an attempt to identify causes and consequences, reported traffic crashes for six years in Xi’an were analyzed using a sample of 2038 reports. The main types of information from such reports were extracted, coded, and statistically analyzed. Important results were obtained from frequency analyses as well as multiple contributory factors related to traffic crashes, including crash severity, time and location of occurrence, geometry of the road, AADT and v/c. This paper presents the results of such analyses and provides some recommendations to improve traffic safety and further studies to analyze potential crash locations.

Road Traffic Injury in Lagos, Nigeria: Assessing Prehospital Care

2017 ◽  
Vol 32 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Nasiru A. Ibrahim ◽  
Abdul Wahab O. Ajani ◽  
Ibrahim A. Mustafa ◽  
Rufai A. Balogun ◽  
Mobolaji A. Oludara ◽  
...  
Keyword(s):  
Emergency Room ◽  
Arrival Time ◽  
Road Traffic ◽  
Prehospital Care ◽  
Road Traffic Injury ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Traffic Injury ◽  
Initial Care ◽  
Lagos State

AbstractIntroductionInjuries are the third most important cause of overall deaths globally with one-quarter resulting from road traffic crashes. Majority of these deaths occur before arrival in the hospital and can be reduced with prompt and efficient prehospital care. The aim of this study was to highlight the burden of road traffic injury (RTI) in Lagos, Nigeria and assess the effectiveness of prehospital care, especially the role of Lagos State Ambulance Service (LASAMBUS) in providing initial care and transportation of the injured to the hospital.MethodsA three-year, retrospective review of road traffic injured patients seen at the Surgical Emergency Room (SER) of the Lagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria, from January 1, 2012 to December 31, 2014 was conducted. Parameters extracted from the Institution Trauma Registry included bio-data, date and time of injury, date and time of arrival in SER, host status, type of vehicle involved, and region(s) injured. Information on how patients came to the hospital and outcome in SER also were recorded. Results were analyzed using Statistical Package for Social Sciences (SPSS; IBM Corporation; Armonk, New York USA) version 16.ResultsA total of 23,537 patients were seen during the study period. Among them, 16,024 (68.1%) had trauma. Road traffic crashes were responsible in 5,629 (35.0%) of trauma cases. Passengers constituted 42.0% of the injured, followed by pedestrians (34.0%). Four wheelers were the most frequent vehicle type involved (54.0%), followed by motor cycles (30.0%). Regions mainly affected were head and neck (40.0%) and lower limb (29.0%). Less than one-quarter (24.0%) presented to the emergency room within an hour, while one-third arrived between one and six hours following injury. Relatives brought 55.4%, followed by bystanders (21.4%). Only 2.3% had formal prehospital care and were brought to the hospital by LASAMBUS. They also had significantly shorter arrival time. One hundred and nine patients (1.9%) died in the emergency room while 235 bodies were brought in dead.ConclusionLess than three percent among the victims of road crashes had formal prehospital care and shorter hospital arrival time. Current facilities for emergency prehospital care in Lagos are inadequate and require improvement. Training lay first-responders, who bring the majority of the injured to hospital, in basic first-aid may improve prehospital care in Lagos.IbrahimNA, AjaniAWO, MustafaIA, Balogun RA, OludaraMA, Idowu OE, SolagberuBA. Road traffic injury in Lagos, Nigeria: assessing prehospital care. Prehosp Disaster Med. 2017;32(4):424–430.

scholarly journals Method for Obtaining Better Traffic Survey Data

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 833
Author(s):  
Mi-Seon Kang ◽  
Pyong-Kun Kim ◽  
Kil-Taek Lim ◽  
You-Ze Cho
Keyword(s):  
Deep Learning ◽  
Road Traffic ◽  
Traffic Volume ◽  
Previous Method ◽  
Specific Point ◽  
Data Set ◽  
Probability Of Error ◽  
The Road ◽  
On The Road ◽  
Efficient Verification

Road traffic surveys determine the number and type of vehicles passing by a specific point over a certain period of time. The manual estimation of the number and type of vehicles from images captured by a camera is the most commonly used method. However, this method has the disadvantage of requiring high amounts of manpower and cost. Recently, methods of automating traffic volume surveys using sensors or deep learning have been widely attempted, but there is the disadvantage that a person must finally manually verify the data in order to ensure that they are reliable. In order to address these shortcomings, we propose a method for efficiently conducting road traffic volume surveys and obtaining highly reliable data. The proposed method detects vehicles on the road from CCTV (Closed-circuit television) images and classifies vehicle types using deep learning or a similar method. After that, it automatically informs the user of candidates with a high probability of error and provides a method for efficient verification. The performance of the proposed method was tested using a data set collected by an actual road traffic survey company. As a result, we proved that our method shows better accuracy than the previous method. The proposed method can reduce the labor and cost in road traffic volume surveys, and increase the reliability of the data due to more accurate results.

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