scholarly journals The Study on In-City Capacity Affected by Pedestrian Crossing

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Chang-jiang Zheng ◽  
Rui He ◽  
Xia Wan ◽  
Chen Wang
Keyword(s):  
Traffic Congestion ◽  
Traffic Accident ◽  
Motor Vehicle ◽  
Road Traffic ◽  
The Road ◽  
Simulation Evaluation ◽  
Road Capacity ◽  
Pedestrian Crossing ◽  
Road Traffic Congestion

Currently, the urban road traffic congestion is serious and the traffic accident is happening at a high frequency; thus it has not satisfied the travel needs of security and affects the quality of urban trips. In order to effectively relieve the confliction of people and motor vehicle, to make sure of the safety of pedestrians crossing the road, and to improve the capacity of urban roads, this passage focuses on studying the influence of pedestrians crossing the roads on the capacity of urban roads in three pedestrian crossing approaches including freely crossing the street, uncontrolled crossing of the pedestrian crosswalk, and controlled crossing of the pedestrian crosswalk. Firstly, it confirms the general formula of the road capacity when pedestrians are crossing the road based on three preassumptions, combined with the survey data, and then constructs the empirical mathematical model of pedestrian crossing on the capacity impact. Lastly, it takes the step of case calculation and simulation evaluation and calculates errors between them, finding that the error between the model calculation and software simulation is small. The efficiency of the model is validated and improved.

scholarly journals DAMPAK GUNA LAHAN TERHADAP TINGKAT KEMAMPUAN KINERJA JALAN STUDI KASUS : JALAN AHMAD YANI DI KECAMATAN KARTASURA

2019 ◽  
Vol 14 (1) ◽  
pp. 40
Author(s):  
Taufik Setyawan ◽  
Mila Karmilah
Keyword(s):  
Land Use ◽  
Quantitative Analysis ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Rapid Development ◽  
Economic Activities ◽  
Economic Relations ◽  
The Road ◽  
Road Capacity ◽  
Development Area

The use of land as a trade and service area contributes greatly to the development of urban economic structures, including in the District of Kartasura. Especially Kartasura's market activity which is always developing because it is a place to fulfill primary needs. However, the existence of this market and also the trade and service activities around it are increasingly troubling due to irregularities and disrupting transportation activities around the market. Geographically, Kartasura Subdistrict is quite close to the Surakarta City area (around 10 Km), and Surakarta City has a very rapid and dense development intensity and has a limited development area, so the development of socio-economic activities tends to move towards the Kartasura Sub-District area.Close socio-economic relations with Surakarta City made Kartasura experience rapid development in the growth of new activities along the A. Yani road. Such as education, health, trade and services, industry and office activities. With the growth of new activities along the A Yani road, traffic jams often occur at peak hours. The congestion is due to the mixture between modes of transportation, trade, industry and offices.The purpose of this study is to identify the performance of the A Yani road, to determine the effect of land use on congestion that occurs. To achieve these objectives, the analysis used is quantitative calculations. By comparing the road conditions at peak and non peak hours on the A Yani road. The method used in this study is analyzing the volume of the road (V) A Yani experiencing congestion, analyzing side barriers, speed, road capacity (C) A Yani, and the level of road service (V / C) A Yani. In addition to the quantitative analysis also conduct qualitative analysis to clarify the quantitative analysis that has been done. So that what is a problem on Jalan A Yani can also be analyzed, what are the factors that cause congestion and finally show conclusions and recommendations of problems.Keywords: Land use, Traffic Congestion

Road Traffic Parameters Estimation by Dynamic Scene Analysis

2012 ◽  
pp. 223-238 ◽  
Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Road Transport ◽  
Traffic Analysis ◽  
Parameters Estimation ◽  
Monitoring And Control ◽  
The Road ◽  
Dynamic Scene Analysis ◽  
And Control

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.

Road Traffic Parameters Estimation by Dynamic Scene Analysis

2010 ◽  
Vol 2 (2) ◽  
pp. 64-78
Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Road Transport ◽  
Traffic Analysis ◽  
Parameters Estimation ◽  
Monitoring And Control ◽  
The Road ◽  
Dynamic Scene Analysis ◽  
And Control

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.

scholarly journals Does Road Traffic Congestion Increase Fuel Consumption of Households in Kathmandu City?

2021 ◽  
Vol 3 (2) ◽  
pp. 67-79
Author(s):  
Raghu Bista ◽  
Surendra Paneru
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Economic Loss ◽  
Multiple Regression Model ◽  
Urban Life ◽  
Descriptive Statistics ◽  
Additional Time ◽  
The Road ◽  
Urban City ◽  
Road Traffic Congestion

The growth of vehicle and road traffic congestion is characteristics of urbanization and urban city and indicators of urban life in developing countries. In Nepal, non-economic factors and non-state factors have accelerated unexpectedly and haphazardly urbanization process, although the country was reengineered into seven provincial federal structure. In this backdrop, this paper empirically examines the growth of traffic congestion and its impact on urban households and livelihood based on 160 vehicle owners and users’ survey at six major traffic routes of two urban cities by applying mixed analytical methods (qualitative cum quantitative), descriptive statistics and multiple regression model. The descriptive statistics result of the study reveals nearly 94 percent acceptance level of vehicle owners and users about the growth of traffic congestion. Despite short distances of the road i.e. 2-4 kilometers and vehicle efficiency, the growth of traffic congestion increases 14036-liters fuel additional consumption. Per month, additional cost of fuel is estimated at 18,808 US dollars for a sum of distance i.e. 72,992 km between residence location and workplace each month. In the case of commuters, the estimation result of the study is 1188 hours of additional time loss with 6706 US dollars’ worth per month. The estimation of total economic loss is 25514 US dollars per month. Specifically, per month, economic loss of doctors and taxi drivers is 6556 US dollars but teachers and bankers have not economic loss.

scholarly journals Detection of Road Traffic Congestion Using V2V Communication Based on IoT

2021 ◽  
pp. 335-345
Author(s):  
Zainab A. Abood ◽  
Hazeem B. Taher ◽  
Rana F. Ghani
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
New Technologies ◽  
Road Traffic ◽  
Liquid Crystal Display ◽  
Emergency Situation ◽  
Transportation Systems ◽  
Raspberry Pi ◽  
The Road ◽  
Road Traffic Congestion

Intelligent Transportation Systems (ITS) have been developed to improve the efficiency and safety of road transport by using new technologies for communication. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) are a subset of ITS widely used to solve different issues associated with transportation in cities. Road traffic congestion is still the most significant problem that causes important economic and productivity damages, as well as increasing environmental effects. This paper introduces an early traffic congestion alert system in a vehicular network, using the internet of things (IoT) and fuzzy logic, for optimizing the traffic and increasing the flow. The proposed system detects critical driving conditions, or any emergency situation blocking the road, and broadcasts remote warnings to the following vehicles. Since not all vehicles are equipped with new technologies, Liquid Crystal Display (LCD) fixed on the roads displays the alert to warn the other vehicles which have neither communication nor sensors. The system was designed with Raspberry Pi 3 Model B equipped with sensors and GPS module to emulate real-world vehicles. The results and observations collected during the experiments showed that the proposed system is able to monitor the road conditions, detect the emergency situation, and broadcast a warning message to the approaching vehicles.

EVALUASI KINERJA JALAN NASIONAL TERHADAP KARAKTERISTIK LALU LINTAS PADA RUAS JALAN NASIONAL KOTA PALEMBANG

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Sartika Nisumanti ◽  
Evina Krisna
Keyword(s):  
Traffic Congestion ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Heavy Traffic ◽  
Service Level ◽  
Traffic Volume ◽  
The Road ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

<p><em>The roads</em><em> </em><em>transportation is an </em><em>important infrastructure as one of the land transportation infrastructures for the movement of social activities and to support economic development, specifically in Palembang City. </em><em>The population growth of Palembang City has resulted in an increase in the number of vehicles and highway users. As a result</em><em>, transportation activities in Palembang, especially at Parameswara </em><em>roads are increasing. </em><em>The impact of this, there will be heavy traffic volume, resulting in conflicts on the road, which lead to traffic accidents. </em><em>Therefore</em><em>, there will be congestion and a decrease in the performance of the road speed.</em></p><p><em>The research is conducted at Parameswara Road in Palembang that visually diminished the ability to accommodate the road traffic volume per day, accordingly the effect of traffic that occurs due to the lack of road capacity as the sequence of large volume traffic. The purpose of this study is to determine the capacity and level of road services to carried out the performance value on this road. The method used in the analysis is the Greenshield model, Greenberg, and Underwood. This study explains the maximum volume at peak hour that develop on Monday is between 1561 smp/hour and 1549 smp/hour. Whereas the lowest is around 1225 smp/hour and 1008 smp/hour that occurs on Sunday. Therefore, the analysis of service level on the research years at Parameswara Road depicts the saturated traffic conditions and low starting speed with D service index category and service level analysis at 10 years of planning time projections, the lpda result is from 2022 to 2026, The Parameswara road conditions at E and F service index categories are the traffic jam circumstances and slight speed. Hence, it necessitates constructing a non-plot way at Parameswara Road intersection to tackle this traffic congestion.</em></p><p><strong><em>Keywords</em></strong><em>:<strong> </strong></em><em>Greenshield, Greenberg, Underwood</em>, <em>Road Capacity</em><em>.</em></p>

scholarly journals IoT based Road Traffic Management System for Metropolitan Cities

2020 ◽  
Vol 8 (12s3) ◽  
pp. 75-79
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Density ◽  
The Road ◽  
Metropolitan Cities ◽  
Traffic Management System ◽  
Road Traffic Congestion ◽  
Jamming Problems

Many cities in the world face jamming problems in road traffic, particularly in metropolitan cities. At present the traffic controlling systems aresemiautomatic in nature. With the introduction of IoT in road traffic management systems, it revolutionizes the field of road traffic management system and improves the road traffic congestion problem.This paper proposes an IoT-based road traffic management system for metropolitan cities. The proposed system provides the hassle free movement of the vehicles to avoid inconvenience and reroute the higher priority vehicles. Experimental results show that the proposed system gives higher success rate for the low traffic density in the lane.

scholarly journals DAMPAK KEMACETAN LALU LINTAS TERHADAP PRODUKTIVITAS KERJA DI SURABAYA

2020 ◽  
Vol 18 (2) ◽  
pp. 322-331
Author(s):  
Oktaviani Permatasari
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Public Companies ◽  
Quality Of Work ◽  
The People ◽  
Career Growth ◽  
Private And Public ◽  
The City ◽  
Road Traffic Congestion

The effect of road traffic congestion on the development of workers in Surabaya, Indonesia, has been examined. The people studied were employed by staff from various private and public companies in the city of Surabaya. The data was obtained through standard questionnaires from 63 sample companies from various Surabaya companies. Knowledge is asked about how traffic jams affect efficiency, results, development, happiness, innovation, quality of work, and how this affects goals set in the workplace. Staff performance measures the final results that impact traffic congestion variables. Themes such as productivity, effectiveness, employee career growth, satisfaction, innovation, and quality of work have determined performance construction. The data was analyzed using descriptive statistics and multiple regressions.

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