scholarly journals Studying the effects of freeway alignment, traffic flow, and sign information on subjective driving workload and performance

2019 ◽  
Vol 11 (5) ◽  
pp. 168781401985369 ◽  
Author(s):  
Lian Xie ◽  
Chaozhong Wu ◽  
Nengchao Lyu ◽  
Zhicheng Duan
Keyword(s):  
Traffic Flow ◽  
Driving Workload ◽  
And Performance

scholarly journals ANALYSIS OF ROAD CAPACITY AND TRAFFIC PERFORMANCE ON JENDRAL SOEHARTO STREET KUPANG

2020 ◽  
Vol 1 (1) ◽  
pp. 46
Author(s):  
Amy Wadu
Keyword(s):  
Performance Analysis ◽  
Traffic Flow ◽  
Degree Of Saturation ◽  
Traffic Jams ◽  
A Value ◽  
Road Capacity ◽  
Traffic Performance ◽  
Street Traffic ◽  
And Performance ◽  
Side Friction

Jendral Soeharto street is one of the streets in Kupang. On this street, traffic jams often occur during peak hours. This study aims to determine the capacity and performance of existing traffic on Jalan Jendral Suharto. This study was analyzed using the Indonesian Road Capacity Guidelines (PKJI2014). Traffic performance analysis begins by calculating traffic flow at peak hours, road side friction, road capacity, degree of saturation, and analysis of space mean speed. The results of the traffic performance analysis show that the degree of saturation (DS) or v/c ratio in the existing conditions has a value of > 0.75, which is 0.98.

An Assessment of Visibility at the Entrance of a Long Vehicular Tunnel

1979 ◽  
Vol 21 (1) ◽  
pp. 107-117 ◽  
Author(s):  
Edward J. Rinalducci ◽  
Douglas A. Hardwick ◽  
Arthur N. Beare
Keyword(s):  
Field Study ◽  
Traffic Flow ◽  
Performance Studies ◽  
Flow Analysis ◽  
Hampton Roads ◽  
And Performance ◽  
Traffic Flow Analysis

A field study is described which employs a multi-faceted approach to assess the nature and impact of the visibility problems encountered when entering long vehicular tunnels. The methods employed were photometric and performance studies of visibility, a survey of tunnel users, examination of available accident records, and an analysis of traffic flow. Analysis of the northern entrance of the Hampton Roads Bridge-Tunnel in Virginia revealed that a reduction in speed of vehicles entering the tunnel was attributable in part to reduced visibility into the tunnel and in part to factors relating to the geometry of the approach. It is suggested that the procedures used could be profitably employed at other tunnel facilities.

scholarly journals MODELLING HETEROGENEOUS TRAFFIC FLOW ON UPGRADES OF INTERCITY ROADS

Transport ◽  
2010 ◽  
Vol 25 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Venkatachalam Thamizh Arasan ◽  
Shriniwas Shrikant Arkatkar
Keyword(s):  
Computer Simulation ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Heterogeneous Traffic ◽  
Effective Technique ◽  
Acceleration Rate ◽  
Traffic Flow Characteristics ◽  
And Performance ◽  
Engine Power

The effect of an upgrade and its length is very significant for traffic flow characteristics. Road traffic in developing countries like India is highly heterogeneous comprising vehicles of wide ranging physical dimensions, weight and dynamic characteristics such as engine power, acceleration rate, etc. Due to these variations, the effect of grade on vehicles in heterogeneous traffic may vary significantly among vehicle categories. Variation in the level of the interaction between vehicles on upgrades may result in different sets of traffic flow characteristics. Hence, it is necessary to model traffic flow on upgrades and study, in depth, changes in traffic flow characteristics with alteration in the magnitude of an upgrade and its length. Computer simulation has emerged as an effective technique for modelling traffic flow due to its capability to account for randomness related to traffic. This study is concerned with applying a simulation model of heterogeneous traffic flow, named HETEROSIM, to study the traffic flow characteristics and performance of different vehicle types on upgrades of different magnitudes.

scholarly journals Analysis of Freeway Safety Influencing Factors on Driving Workload and Performance Based on the Gray Correlation Method

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lian Xie ◽  
Chaozhong Wu ◽  
Min Duan ◽  
Nengchao Lyu
Keyword(s):  
Standard Deviation ◽  
Influencing Factors ◽  
Traffic Safety ◽  
Vehicle Speed ◽  
Horizontal Curve ◽  
Lane Departure ◽  
Correlation Degree ◽  
Driving Workload ◽  
The Mean ◽  
And Performance

Human-related factors are a crucial inducement of traffic accidents. Understanding the influence of freeway environments on the driving behavior and workload experienced by drivers has been demonstrated to be of primary importance for improving traffic safety. To study the effect of alignment, traffic flow, and sign information on drivers’ mental workload and behavior, 16 scenarios were constructed using the orthogonal design method, and simulated driving experiments were carried out with 45 participants. During driving, indicators such as the mean and standard deviation of vehicle speed and lane departure were collected, and the NASA-TLX questionnaire was adopted to measure workload. Analysis of variance results indicated that the radius of the horizontal curve, gradient, flow, and sign information level have a significant influence on drivers’ workload and speed keeping ability. In addition, the horizontal curve radius has a significant effect on lane keeping ability. The importance of safety influencing factors on driving workload and performance was quantitatively ranked by integrating the trend of Deng’s correlation degree, comprehensive correlation degree, and similar correlation degree, whose weight was calculated using the entropy method. Traffic sign information was found to have the greatest impact on workload. In terms of driving performance, traffic volume has the greatest influence on the mean and standard deviation of vehicle speed, followed by the amount of sign information. Lane departure is most affected by the radius of the horizontal curve. These findings provide guidance for freeway traffic safety regulation, including workload control and road facility optimization.

scholarly journals Analisa Kinerja Ruas Jalan Karet di Kota Palangka Raya

2017 ◽  
Vol 5 (2) ◽  
pp. 123-127
Author(s):  
Faizal Candra Prasetyo ◽  
Nirwana Puspasari ◽  
Rida Respati
Keyword(s):  
Traffic Flow ◽  
Good Condition ◽  
Traffic Volume ◽  
Traffic Data ◽  
Volume Data ◽  
The Road ◽  
Road Performance ◽  
On The Road ◽  
And Performance ◽  
Motorized Vehicles

Development and growth in various aspects of life and progress in development,give an impact on the increasing number of motorized vehicles. This will result in the amount of current traffic increases, while road capability is limited to service. Increased traffic flow happening on a road will affect the capacity and performance of the road itself along the road rubber has quite a lot of traffic activities. Based on such conditions it is deemed necessary to conduct research to find out whether there are capacity problems and road performance on the road that. To get the data the researcher must direct the space to get the traffic data done for three days. After getting traffic volume data, the data is processed so that get results, where the results are in the form of numbers to find out what the capacity and performance of the road is problematic or not according to MKJI 1997 rules. From the results of the research, the results of the DS rubber road were 368.56 / 1247.62 = 0.30, noon 473.93 / 1290.15 = 0.39, afternoon 492.28 / 1332.68 = 040 still in good condition.

Research and Design of Traffic Flow Monitoring System Based on Internet of Things

2013 ◽  
Vol 380-384 ◽  
pp. 786-789
Author(s):  
Jun Feng
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Traffic Flow ◽  
Monitoring System ◽  
Performance Monitoring ◽  
High Efficiency ◽  
Scheduling Algorithm ◽  
Flow Monitoring ◽  
Real Time Traffic ◽  
And Performance

The existing traffic flow monitoring system has some defects, including dispersed data collection, difficult to accurate and real-time monitor the vehicle motion process, low degree of all types of vehicle identification and limited monitoring performance. In order to solve all the problems above, this paper designs traffic flow monitoring system bases on Internet of Things. Using the core data collected by ZigBee wireless communication technique, the system adopts optimal scheduling algorithm to design the system. Simulation experiments are carried out on the basis of real-time collected by the system. The results show that the system achieves high efficiency and performance monitoring of the vehicle types, real-time classification, vehicle coordinate real-time positioning while operation, automatically receive real-time traffic data, and efficient scheduling.

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

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