https://www.irjet.net/archives/V7/i1/IRJET-V7I111.pdf

1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 683
To Study Pedestrian Road Crossing Behaviour at Intersection under
Mixed Traffic Condition
Sonali Ghongade1, Mr. M.R. Vyawahare2, Mr. A. R. Bijwe3
1PG Student , Department of Transportation Engineering and Management, Dr. Rajendra Gode Institute of
Technology and Research, (SGBAU) Amravati, India
2Professor and Head, Department of Civil Engineering, Dr. Rajendra Gode Institute of Technology and Research,
(SGBAU) Amravati, India
3Assistant Professor, Department of Civil Engineering, Dr. Rajendra Gode Institute of Technology and Research,
(SGBAU) Amravati, India
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Abstract - Among different modes in transportation walking is one of the sustainable mode in urban transportation especially in
India, because of the flexibility and mobility involved in the walking mode. This research presents relationship between traffic
stream parameters. The models developed in this research predict speed, delay, density, maximum queue estimates with varying
volume, for urban roads. So on the basis of study of mixed traffic at signalized intersections, the conclusion is made that the graph
of relationship of speed, density and flow does not match with the existing green shield model. So modeling of new equation for
signalized intersection for Indian traffic by using linear regression model is obtained.
1. INTRODUCTION
Pedestrian requirements have received considerable attention compared to motorized vehicles. Although the external costs
imposed by pedestrian on the system are minimal, no clear credit is given to them in the context of how they are treated in the
mode hierarchy, particularly in urban areas. Understanding pedestrian road crossing decisions is an important traffic safety
issue, especially for those countries, where populations are rapidly aging. A mixed traffic stream consists of vehicles that have
different speeds, sizes, operating characteristics, and vehicle spacing. The Indian traffic is mixed traffic. Homogeneous design
methods do not fit the heterogeneous situation, especially in nonlane basedroadwaysthatpopulatethedevelopingworld.This
paper reviews the status of heterogeneous mixes worldwide, and what factors need to be consideredinsuchmixes.Theissues
of safety, modeling and non-motorized transport are considered, and solutions for these are discussed. These are important
because the need for an understanding of heterogeneous mixes will grow in the future due to their presence in developing
world mega cities and growth in the developed world.
1.1 Objectives
1) To study macroscopic traffic parameters (delay, flow, speed and density)
2) Comparing the relationship between traffic parameters speed-flow, flow-density and speed-density.
3) To study literature governing stream, composition traffic stream, parameter and traffic flow model.
4) To study Statistical methods to analyze the data which is used to compare model.
5) Least square regression method will be used to model bi-variate relationship like speed flow relationship, speed-density
relative and flow density relationship.
2. DATA COLLECTION
A video graphic survey has been done at intersectionsnamelyRajkamal.Eachoftheseintersectionshavethreeapproachesanda
camera was setup at an elevated station to record the data to each approach of these intersections. The survey was done for
morning and evening to find out the pedestrian peak hour in the respective intersections.
3. TESTING PROCEDURE
1 Traffic count
2 Traffic entity speed
3 Density calculation
4 Traffic Volume Data of Rajkamal

2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 684
Sr.No. Rajkamal Square
Heavy Vehicle 23
Two Wheelers 37
Three Wheelers 124
Big Cars 42
Small Cars 996
Traffic Volume at Rajkamal Square
4. Traffic speed and density data
Traffic Speed and Density Data of Morning (Rajkamal Square)
Traffic Speed and Density Data of Evening (Rajkamal Square)
Variation of Traffic Flow with Time at Rajkamal Square

3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 685
Variation of Density with Speed
Variation of Density with Flow
Variation of Flow with Speed
5. CONCLUSION
By using SPSS software for speed-density curve, we get regression value and coefficients value. If the regression value is one,
then there will be perfect correlation between two variables. The value of correlation varies between +1 to -1. –Ve sign
indicates the –ve correlation between two variables.So on thebasisofstudyofheterogeneoustrafficatsignalizedintersections,
the conclusion is made that the graph of relationship of speed and flow does not match with the existing green shield model.
We modeled new equation for signalized intersection for Indian traffic by using linear regression model.

4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 686
[1] Greenshields, B. D. (1935). “A Study in Highway Capacity”, Highway Research Board, Proceedings, Vol. 14, p. 458.
[2] Gulbahar Tohti and Tahir Abdukeram (2013).“Traffic Flow Modeling and Simulation of Signalized Intersections”, 9th
International Conference on Fracture & Strength of Solids June 9-13, Jeju, Korea.
[3] Gerlough, D. L. and Huber M. J. (1975).“Traffic flow theory: A monograph” Special Rep. No. 165, Transportation Research
Board, National Research Council, Washington, D.C.
[4] Heng Wei (2005).” Video-Capture-Based Approach to Extract Multiple vehicular trajectory Data for Traffic Modeling”,
Journal of Transportation Engineering (ASCE) / July 2005, 10.10610733-947X/131:7(496).