Development of Artificial Intelligence-based Bicycle Level of Service Models for Urban Street Segments

2021 ◽  
Author(s):  
Sambit Kumar Beura ◽  
Prasanta Kumar Bhuyan
Keyword(s):  
Artificial Intelligence ◽  
Level Of Service ◽  
Urban Street ◽  
Service Models ◽  
Bicycle Level Of Service ◽  
Street Segments

scholarly journals AFFINITY PROPAGATION CLUSTERING IN DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS

Transport ◽  
2014 ◽  
Vol 29 (4) ◽  
pp. 401-411 ◽  
Author(s):  
Prasanta Kumar Bhuyan ◽  
Smruti Sourava Mohapatra
Keyword(s):  
Traffic Flow ◽  
Heterogeneous Traffic ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Urban Streets ◽  
Urban Street ◽  
Indian Context ◽  
Validation Parameters ◽  
Street Segments

Defining Level Of Service (LOS) criteria is very important as this is the first step of LOS analysis but this is not well defined in Indian context. The analysis followed in India is basically adaptation of Highway Capacity Manual (HCM 2000) methodology which is more suitable for developed countries having homogenous traffic pattern. An attempt has been made in this study to define LOS criteria of urban streets for developing countries having heterogeneous traffic flow condition. Defining LOS is basically a classification problem and to solve it Affinity Propagation (AP), a very recently developed cluster algorithm is used. Inventory details and the required speed data are collected from five major street corridors of Greater Mumbai Region in India through the application of Trimble GeoXT Global Positioning System (GPS) receiver. Six validation parameters are used on Free Flow Speed (FFS) data to find the optimal number of clusters, which is required for the classification of street segments into number of classes. After that speed data collected during both peak and off-peak hours are averaged over street segments and clustered into six groups to get the speed ranges of different LOS categories. Using validation parameters, considering the physical and surrounding environmental characteristics it is found that street segments can be classified into four classes in Indian context as mentioned in Highway Capacity Manual 2000. However, the FFS range for urban street class IV (urban design category) is significantly lower because of varying road geometric characteristics. The speed ranges of LOS categories under urban street classes are proportionately lower to that values mentioned in HCM 2000 because of highly heterogeneous traffic flow on urban Indian roads. The travel speed data collection procedure using GPS is simple and accurate. In addition, AP clustering is highly efficient in terms of time saving and provides a very accurate solution to classification problems. Hence, both GPS and AP techniques can be applied in other countries to define the speed ranges of LOS categories considering the local conditions.

scholarly journals A STATISTICAL APPROACH TO THE ESTIMATION OF BICYCLE LEVEL OF SERVICE MODELS FOR THE CICLORUTA IN BOGOTA, COLOMBIA

2017 ◽  
Author(s):  
INAH OKON ◽  
MARK J. G. BRUSSEL ◽  
FRANS H. M. VAN DEN BOSCH ◽  
CARLOS A. MORENO ◽  
MARTIN F. A. M. VAN MAARSEVEEN
Keyword(s):  
Statistical Approach ◽  
Level Of Service ◽  
Service Models ◽  
Bicycle Level Of Service

Intersection Level of Service for the Bicycle Through Movement

2003 ◽  
Vol 1828 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Bruce W. Landis ◽  
Venkat R. Vattikuti ◽  
Russell M. Ottenberg ◽  
Theodore A. Petritsch ◽  
Martin Guttenplan ◽  
...  
Keyword(s):  
Transportation Network ◽  
Pearson Correlation ◽  
Geographic Origin ◽  
Level Of Service ◽  
Total Width ◽  
Department Of Transportation ◽  
Service Model ◽  
Florida Department ◽  
Bicycle Level Of Service ◽  
Time Perceptions

The Florida Department of Transportation (DOT) has initiated multi-modal level-of-service (LOS) methodologies, including that for the bicycle travel mode. It has already adopted a bicycle LOS methodology for the roadway segment portion of the transportation network, the Bicycle Level of Service Model. Florida DOT’s ultimate goal is to develop corridor- and facilities-level LOS methodologies. Toward that goal, Florida DOT sponsored research to develop the first part of an intersection bicycle LOS methodology, the Intersection LOS for the bicycle through movement. This Intersection LOS for the bicycle through movement would provide a measure of the level of safety and comfort experienced by bicyclists riding through an intersection. The Intersection LOS model for the bicycle through movement is based on Pearson correlation analyses and stepwise regression modeling of approximately 1,000 combined real-time perceptions from bicyclists traveling a course through a typical U.S. metropolitan area’s signalized intersections. The study’s participants represented a cross section of age, gender, and geographic origin of the population of cyclists. Although further hypothesis testing is being conducted, the resulting general model for the Intersection LOS for the bicycle through movement is highly reliable, has a high correlation coefficient ( R2 = 0.83) with the average observations, and is transferable to the vast majority of U.S. metropolitan areas. The study reveals that roadway traffic volume, total width of the outside through lane, and the intersection (cross street) crossing distance are primary factors in the Intersection LOS for the bicycle through movement.

Development of the Bicycle Compatibility Index

1998 ◽  
Vol 1636 (1) ◽  
pp. 13-20 ◽  
Author(s):  
David L. Harkey ◽  
Donald W. Reinfurt ◽  
Matthew Knuiman
Keyword(s):  
Motor Vehicles ◽  
Level Of Service ◽  
Traffic Operations ◽  
Efficient Operation ◽  
Compatibility Index ◽  
Geometric Conditions ◽  
Operational Design ◽  
Federal Highway ◽  
Bicycle Level Of Service

Presently, there is no methodology that is widely accepted by engineers, planners, or bicycle coordinators that will allow them to determine how compatible a roadway is for allowing efficient operation of both bicycles and motor vehicles. Determining how existing traffic operations and geometric conditions affect a bicyclist’s decision to use or not use a specific roadway is the first step in determining the bicycle compatibility of the roadway. The Federal Highway Administration sponsored a study in which a methodology for deriving a bicycle compatibility index was developed. This tool can be used by bicycle coordinators, transportation planners, traffic engineers, and others to evaluate the capability of specific roadways to accommodate both motorists and bicyclists. It is intended to provide practitioners with the ability to assess the bicycle level of service present on existing facilities or on proposed facilities and can be used for operational, design, and planning analyses.

scholarly journals Analisa Efektivitas Penerapan Jalur Khusus Sepeda Di Kota Palembang Pada Rute Jakabaring Sport City – BKB

2021 ◽  
Vol 6 (2) ◽  
pp. 59
Author(s):  
Efrilia Rahamdona ◽  
Ricky Ravsyah Alhafez ◽  
Kiki Rizky Amalia
Keyword(s):  
Level Of Service ◽  
Bicycle Level Of Service

Pemerintah kota Palembang telah meresmikan  jalur khusus sepeda pada tahun 2020 lalu oleh Walikota Palembang, ada tiga rute resmi jalur khusus sepeda tersebut. Tiga jalur khusus pecinta sepeda ini dibuat pemerintah untuk menertibkan arus lalu lintas dan memfasilitasi para pengguna sepeda di kota Palembang.  Dalam penerapan penggunaan jalur khusus sepeda pada kawasan kota  Palembang masih mengalami kesulitan dikarenakan besarnya volume kendaraan pribadi yang di dominasi oleh kendaraan bermotor, selain itu masih minimnya pengguna sepeda dan tujuan bersepeda masih sebatas untuk olahraga. Tujuan penelitian adalah untuk menganalisis efektivitas jalur khusus sepeda di Kota Palembang menggunakan metode deskriptif kuantitatif dan  metode analisis dengan teknik BLOS (Bicycle Level Of Service). Pengumpulan data dilakukan dengan survey. Hasil penelitian dan analisis dengan BLOS didapat hari Senin dan Minggu pada jam 06.00 - 08.00 WIB, 11.00 – 13.00 WIB, dan 16.00 – 18.00 WIB nilai BLOS berada pada peringkat “E” yaitu lebih dari 4,5 -5,5 artinya lingkungan tidak aman untuk sepeda.

scholarly journals Utilizing Bicycle Compatibility Index and Bicycle Level of Service for Cycleway networks

2019 ◽  
Vol 259 ◽  
pp. 03005
Author(s):  
Qiang Liu ◽  
Riken Homma ◽  
Kazuhisa Iki
Keyword(s):  
Traffic Congestion ◽  
Age Groups ◽  
Evaluation Methods ◽  
Level Of Service ◽  
Compatibility Index ◽  
The Road ◽  
Comparative Advantages ◽  
Bicycle Level Of Service ◽  
Road Characteristics

Bicycle is widely used in Japan by people of all age groups in daily usage, which may significantly ease traffic congestion. Responding to the cyclists increasing, the method to assess the quality of bicycle travel become necessary. Previous studies reported several approaches to obtain evaluation methods. However, cycleway evaluation in Japan is still far behind the evaluation methods developed in Europe or America. This paper concentrated on familiarizing readers with two methods for evaluating the quality of bicycle facilities and then presenting some proposals of cycleway evaluation in Japan referencing to these two methods. The first method, Bicycle Compatibility Index (BCI), is used to evaluate the road environment for cycling according to the road characteristics by statistical analysis. The second method, Bicycle Level of Service (BLOS), also represents an evaluation of safety for bicyclists. Both of the above methods offered equations of comfort and safety perceptions of bicyclists according to cycling environments. By introducing these methods in combination, this paper enables the readers to maximize the comparative advantages of both BCI and BLOS. The comparison includes sensitivity of variables and the development of both methods. Then we applied BCI and BLOS to evaluate the target roadways in Kumamoto, Japan.

Bicycle Comfort Level Rating (BCLR) model for urban street segments in mid-sized cities of India

2021 ◽  
Vol 20 ◽  
pp. 100971
Author(s):  
Sambit Kumar Beura ◽  
Haritha Chellapilla ◽  
Mahabir Panda ◽  
Prasanta Kumar Bhuyan
Keyword(s):  
Comfort Level ◽  
Urban Street ◽  
Street Segments

Analytical Model of Passing Events for One-Way Heterogeneous Bicycle Traffic Flows

2018 ◽  
Vol 2672 (36) ◽  
pp. 125-135 ◽  
Author(s):  
Liang Xu ◽  
Meiqi Liu ◽  
Xiang Song ◽  
Sheng Jin
Keyword(s):  
Analytical Model ◽  
Probability Density Functions ◽  
Level Of Service ◽  
Traffic Flows ◽  
Proposed Model ◽  
Different Types ◽  
Bicycle Level Of Service ◽  
Positive Correlations ◽  
Shared Bicycle ◽  
The Relationship

Heterogeneous bicycle traffic flows, consisting of electric bicycles (e-bicycles) and regular bicycles (r-bicycles), have become the main traffic form on shared bicycle routes in China due to the increasing number of e-bicycles. As a result, overtaking occurs frequently among bicycles, which affects cyclists’ safety and perception. This paper presents an analytical model to estimate the number of passing events in heterogeneous bicycle traffic flows. The relationships between passing events and the parameters of the heterogeneous bicycle traffic flow is established in the proposed model. The probability density functions of the speed of r-bicycles and e-bicycles are taken into consideration. The results of the model analysis show that the number of passing events increases with an increase in the flow rate and density. Both a difference in speed between different types of bicycle and the standard deviation of speed of each type of bicycle have positive correlations with the number of passing events. In addition, when the proportion of e-bicycles increases, the number of passing events first increases, and then decreases. The proposed model is calibrated against field data collected in Hangzhou. The results show that the model prediction is consistent with field observations. The model proposed in this paper provides an analytical approach to study the relationship between the characteristics of heterogeneous bicycle traffic flows and the number of passing events. This work can be considered a prerequisite for the development of the bicycle level of service criteria for heterogeneous bicycle flows.

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