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Transcript of mix traffic
QUANTIFICATION OF MIX AND ITS EFFECT ON TRAFFIC PARAMETRS
PRESENTED BYABHILASH KUMARMTECH TRANSPORTATIONREG: 14PCE030
Under the guidance ofMr Partha Pratim SarkarAssistant ProfessorNIT AGARTALA
ContentINTRODUCTIONLITERATURE REVIEWOBJECTIVEWORK PLANIMPACTREFERNCES
IntroductionTRAFFIC CONDITION IN INDIA
HETEROGENEOUS OR
MIX TRAFFIC
INTRODUCTION
WHAT IS MIX TRAFFIC???? TRAFFIC COMPOSED OF MOTORISED, NON MOTORISED ,TWO WHEELER AND THREE WHEELER.
ANALYSIS MODELANALYSIS MODELS WHICHEVER
PRESENT MAINLY CONCERNS FOR HOMOGENEOUS TRAFFIC
MODELS ARE REQUIRED WHICH ARE SENSITIVE TO MIX TRAFFIC CONDITION
QUANTIFICATION OF MIXProcess to find out what is the
amount mix or composition in cellular level in heterogeneous traffic. Sales
BUS AND TRUCKSMTHWMTWBicycleCars
TRAFFIC FLOW MODELS
MACROSCOPIC
MICROSCOPIC
LITERATUTRE REVIEWBains et al. (2012) evaluated
the effect of vehicle composition (heavy vehicles and light commercial vehicles) on PCU values at different volume levels, to a limited extent, on expressways in India. PCU values were evaluated using the micro-simulation model, VISSIM.
Brooks (2012) Studied on the influence of roadway width and volume to capacity ratio on PCU values and statistical analysis determined that there is a significant difference in volume of cars only between homogeneous and heterogeneous traffic conditions for various road widths. Hence the PCU values of heterogeneous traffic are recommended for the design of traffic systems over homogeneous traffic conditions.
Arasan and Arkatkar (2011) developed a heterogeneous traffic simulation flow model using HETEROSIM for this study. They mainly focused on the finding capacity as number of vehicle passing a given section of road or traffic lane per unit time where several types of vehicles with widely varying static and dynamic characteristic are moving.
Pan and kerali (2007) conducted a research on the effects of non-motorized traffic flow on motorized vehicle speeds on the basis of field observations of vehicle speeds on Chinese roads. They observed that there exist a linear relationship between motorized vehicle speeds and non-motorized traffic flow under a range of motorized traffic flow volumes.
Mallikarjuna and Rao (2006) developed PCU factors for trucks, buses and two-wheelers under heterogeneous traffic conditions prevailing on Indian roads using modified cellular automata simulation model. They found that PCU values decrease with increase in the vehicle’s proportion in the traffic stream.
OBJECTIVE To quantify the mix in the heterogeneous traffic. An attempt will be made to develop traffic
simulation model that will characterize Indian Traffic condition i.e. heterogeneous traffic and no lane discipline.
To study the effect of slow moving vehicle on the microscopic parameters on transit or para-transit facility of Agartala , Delhi, Guwahati and Kolkata on a single lane Urban road.
EQUIPMENTS Trazer (Traffic analyzer and
enumerator ) Video recorder with Tripod Storage in Hard drive Simulation software MOVSIM,
VISSIM.
TRAZERReal time video processing,real time vehicle classification,vehicle tracking and counting,flow statistics,Vehicle flow at a particular time,velocity of traffic,Extensive vehicle trajectory log.
WORK PLAN SELECTIO
N OF TOPIC
LITERATURE
REVIEW
CARRY OUT
SURVEYUSE OF HD CAM
FEED DATA
ANALYSE USING
TRAZERDEVELOP SIMULATION MODEL
AGARTALA
DELHI
GUWAHATI
KOLKATA
Project Impact - Expected outcomeSimulation modeling is an increasingly popular and effective tool for analyzing a wide variety of dynamical problems which are difficult to be studied by other means. Usually, these processes are characterized by the interaction of many system components or entities. The simulation model will enable proper understanding of heterogeneous traffic flow characteristics in undivided road for better utilization of transport infrastructure and effective regulation and control of traffic.
REFERENCES Dhamaniya.A and Chandra, S. (2013), “Concept of stream
equivalency factor for heterogeneous traffic on urban arterial roads”, journal of transportation engineering © asce.
Sinha, S., Taneerananon, P and Chandra, S. (2013), “A comparative
study of effect of motorcycle volume on capacity of four lane urban roads in India and Thailand”, Journal of society for transportation and traffic studies, vol.3, no.4.
Bains, M.S, Ponnu, B and Arkatkar, S.S. (2012), “Modeling of Traffic
Flow on Indian Expressways using Simulation Technique, Procedia - Social and Behavioral Sciences”, 475-493.
Brooks, M.R. (2012), “Acceleration characteristics of vehicles in rural Pennsylvania”, IJRRAS, vol.12 No.3.
Brooks, M.R. (2012), “Influence of roadway width and volume to
capacity ratio on PCU values”, Transport problems, vol.5 issue2. Arasan, V.T. and Arkatkar, S.S. (2010), “Micro-simulation study of
effect of volume and road width on PCU of vehicles under heterogeneous traffic”, Journal of Transportation Engineering. Vol. 15 No.4
Dey, P.P., Chandra, S. and Gangopadhyay, S. (2008), “Simulation of mixed traffic flow on two-lane roads”, Journal of transportation engineering, Vol. 134, No.9. pp.363-367.
Pan and Kerali. (2007), “Effects of non-motorized traffic flow on motorized
vehicle speeds on the basis of field observations of vehicle speeds on Chinese roads”.
Bang K.L., A. Carlsson and Palgunadi. (1995), “Development of speed-flow
relationship for Indonesia rural roads using empirical data and simulation”, Transportation Research Board, Washington, D.C, pp. 24-32.
Mallikarjuna, C. and Rao, R.K. (2006), “Modeling of Passenger Car Equivalency
under Heterogeneous Traffic Conditions”, In Proceedings of the Research into Practice: 22nd Australian Road Research Board (ARRB) Conference, pp.1-13.
Arasan, V.T and koshy, R.Z. (2004), “Simulation of heterogeneous traffic to
derive capacity and service volume standards for urban roads”, pp no.500. Roger V. L and Tantiyanugulchai.S. (2004), “Microscopic simulation of traffic at
a suburban interchange”.