scholarly journals Urban road segment level of service based on bicycle users’ perception under mixed traffic conditions

2017 ◽  
Vol 25 (2) ◽  
pp. 90-105 ◽  
Author(s):  
Sambit Kumar Beura ◽  
Haritha Chellapilla ◽  
Prasanta Kumar Bhuyan
Keyword(s):  
Road Segment ◽  
Level Of Service ◽  
Mixed Traffic ◽  
Urban Road ◽  
Traffic Conditions

INFLUENCE OF BUS BAY AND CURBSIDE BUS STOP IN AN URBAN ROAD

2020 ◽  
Vol 8 (3) ◽  
pp. 14-19
Author(s):  
Saurav Barua
Keyword(s):  
Traffic Congestion ◽  
Simulation Models ◽  
Good Alternative ◽  
Road Segment ◽  
Dhaka City ◽  
Average Speed ◽  
Urban Road ◽  
Traffic Conditions ◽  
Bus Stop ◽  
Bus Stops

Purpose of Study: The purpose of this study is to investigate the efficiency of bus bay compare to the curbside bus stop in a midblock road segment of Dhaka city. Methodology: Vehicle composition and traffic volume were counted on-peak hours for the midblock of Azimpur road near the existing bus stop. Simulation models were developed in VISSIM, where Model 1 represented the existing road scenario with curbside bus stop, and Model 2 represented the same road segment with a bus bay. Main findings: The simulation result showed that Model 2 outperformed Model 1 due to the presence of bus bay. Comparing Model 1, travel time and delay reduced by varying 1.80% to 12.5% and 6.25% to 100% respectively in Model 2 during the simulation. Similarly, average speed increased by 1.39% and density decreased by 61.29% in model 2. Application of this study: Curbside bus stops result in abrupt halt, disrupt traffic flow, and queuing of the small-sized vehicle behind buses. These bus stops caused traffic congestion and delays in urban roads which can be alleviated by alternatives, such as, bus bay. The novelty of this study: The bus bay is a good alternative to the curbside bus stop, which can improve existing traffic conditions in urban roads.

Modeling Pedestrian Level of Service at Signalized Intersection Under Mixed Traffic Conditions

2017 ◽  
Vol 2634 (1) ◽  
pp. 86-94 ◽  
Author(s):  
S. Marisamynathan ◽  
P. Vedagiri
Keyword(s):  
Linear Regression ◽  
Signalized Intersections ◽  
Level Of Service ◽  
Delay Model ◽  
Mixed Traffic ◽  
Threshold Values ◽  
User Perceptions ◽  
Traffic Conditions ◽  
Fcm Clustering ◽  
Pedestrian Level Of Service

Developing countries such as India need to have the proper pedestrian level of service (PLOS) criteria for various facilities to help in planning, designing, and maintaining pedestrian facilities. Thus, the objective of this study was to develop a suitable method for estimating the PLOS model under mixed traffic conditions and also to define threshold values for PLOS classification at signalized intersections. First, the data were collected with video and a user perceptions survey at eight selected signalized intersections in Mumbai, India. Second, pedestrian crossing behaviors were modeled according to arrival pattern, crossing speed, noncompliance behavior, and pedestrian–vehicular interaction. Third, a pedestrian delay model was proposed by considering crossing behavior variations and subsequent validation with field data. Fourth, significant variables were identified on the basis of the Pearson’s correlation test with user’s perceptions score. Fifth, the conventional linear regression (CLR) technique was explored to determine the PLOS. To overcome the limitations of the CLR technique, fuzzy linear regression (FLR) was done to develop a PLOS model that fits mixed traffic conditions in India. Two models were validated, and their statistical performance results indicate that the FLR model predicts the PLOS score more precisely. Finally, k-means and fuzzy C-means (FCM) clustering techniques were applied to classify the PLOS score, and the results were compared by time complexity value and field values. The performance evaluation results indicate that the k-means method saves time but fails to produce more reliable threshold values, and the FCM method produces more accurate and efficient threshold values for the PLOS score at signalized intersections under mixed traffic conditions.

scholarly journals Traffic volume Analysis of Newly Developing semi-urban Road

2020 ◽  
Vol 184 ◽  
pp. 01116
Author(s):  
S. Venkatcharyulu ◽  
V. Mallikarjunareddy
Keyword(s):  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Urban Road ◽  
The Road ◽  
Traffic Conditions ◽  
Traffic Delays ◽  
On The Road ◽  
Vehicle Movement

The purpose of the study and analyze traffic vehicular at peak hours, traffic congestion, determine level of service and provide suitable solution to reduce congestion and improve level of service. Hyderabad is a rapidly urbanizing metropolitan city with a population of 68.1lakhs. The increasing population has led to a tremendous increase in vehicular ownership resulting in high motorization rates. Vehicular population in Hyderabad is about 50lakhs. This increase in vehicular population, congestion and hazardous traffic conditions have resulted in traffic congestions, traffic delays, accidents, environ, noise pollution, air pollution and many more. Traffic volume studies are conducted for the counting number vehicles in th study area . . Data obtained from Nizampet road from the Miyapur useful for the identification of Heavy vehicular flow which studied and number of vehicle movement has studied . The data collected from surveys will be used for determination(PHO) and analysing the traffic volume, passenger car unit (PCU), congestion, Peak hour factor and Directional distribution, volume capacity ratio. A report is to be made on the road of 7km, semi urban road Miyapur X road to Nizampet ,(Hyderabad,INDIA) is studied for vehicles count, road conditions, traffic conditions, peak hour volume, pedestrian count where congestion usually happens, manually using tally sheets and recommend some measures for increasing Level of service of the road. The semi urban road has newly grown village which is immediate vicinity to the developed area. Hence the study of This traffic vehicular moment will help the local authorities to take decisions and finally control over movement of the vehicles.

Analysis of Pedestrian Behavior and Planning Guidelines with Mixed Traffic for Narrow Urban Streets

1998 ◽  
Vol 1636 (1) ◽  
pp. 116-123 ◽  
Author(s):  
Young-In Kwon ◽  
Shigeru Morichi ◽  
Tetsuo Yai
Keyword(s):  
Level Of Service ◽  
Mixed Traffic ◽  
Pedestrian Behavior ◽  
Urban Streets ◽  
Traffic Conditions ◽  
Time Space ◽  
Pedestrian Traffic ◽  
Stationary Obstacles ◽  
Service Standards ◽  
Street Environment

The aim of this study was to examine pedestrian behavior and suggest guidelines for analyzing pedestrian traffic flow in narrow urban streets with mixed traffic. For the analysis of pedestrian behavior, 15 streets around an urban railway station in Tokyo were surveyed, and several parameters were obtained, such as pedestrian paths around stationary obstacles; share of pedestrians using the sidewalk as a factor of street environment and traffic conditions; and influence distance of and for bicycles and cars. With respect to planning guidelines, the authors have simultaneously defined a new index of time-space occupancy ( Qt-si) of traffic modes in mixed-traffic conditions that considers the occupancy of time and space in the time-space diagram. Also, a new concept for level-of-service standards has been suggested for mixed-traffic conditions that employs the concept of time-space occupancy of each mode and hindrance/conflict between modes.

Modeling Pedestrian Level of Service at Signalized Intersection Crosswalks under Mixed Traffic Conditions

2015 ◽  
Vol 2512 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Xiaofei Ye ◽  
Jun Chen ◽  
Guiyan Jiang ◽  
Xingchen Yan
Keyword(s):  
Linear Regression ◽  
Pearson Correlation ◽  
Signalized Intersection ◽  
Level Of Service ◽  
Delay Model ◽  
Mixed Traffic ◽  
Factors Affecting ◽  
Traffic Conditions ◽  
Regression Techniques ◽  
Pedestrian Level Of Service

The objectives of this study were to identify the factors affecting the pedestrian level of service (LOS) at signalized intersection crosswalks under mixed traffic conditions and to develop a suitable method for estimating pedestrian LOS. The important factors influencing pedestrian LOS at crosswalks were summarized: turning traffic, through traffic, number of pedestrians, and pedestrian delay. In the Highway Capacity Manual method, pedestrian delay can be calculated by Webster's delay model, which assumes that pedestrians arrive at a uniform rate and comply with the signal at an intersection. However, that assumption is not suitable for the Chinese scenario. A pedestrian delay model was developed by considering nonuniform arrival rates and noncompliant behavior under mixed traffic conditions. The data collected by video and a questionnaire survey include information on 1,257 participants' real-time sense of comfort and safety when crossing five selected intersections and on the operational characteristics of the intersections. With perceived LOS as a dependent variable, Pearson correlation analysis and linear regression techniques were explored to determine the significant factors affecting LOS. To overcome the limitations of linear regression techniques, cumulative logistic regression was done to develop a model that fits mixed traffic conditions in China—a model that can predict the probability of responses within each LOS on the basis of a combination of explanatory variables. The results showed that the cumulative logistic model fit the survey data better than the linear regression model and produces LOS A for the crosswalks.

scholarly journals Bicycle Level of Service Evaluation Method for Urban Road Segment

2018 ◽  
Vol 08 (02) ◽  
pp. 80-88 ◽  
Author(s):  
Shinan Shu ◽  
Yang Bian ◽  
Jian Rong ◽  
Shuang Li
Keyword(s):  
Evaluation Method ◽  
Service Evaluation ◽  
Road Segment ◽  
Level Of Service ◽  
Urban Road ◽  
Bicycle Level Of Service
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