Evaluation of right-turn lanes at signalized intersection in non-lane-based heterogeneous traffic using microscopic simulation model

2014 ◽  
Vol 7 (2) ◽  
pp. 61-72 ◽  
Author(s):  
A. Gowri ◽  
R. Sivanandan
Keyword(s):  
Simulation Model ◽  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Microscopic Simulation ◽  
Lane Based

DEVELOPMENT OF MICROSCOPIC SIMULATION MODEL FOR HETEROGENEOUS TRAFFIC USING OBJECT ORIENTED APPROACH

2008 ◽  
Vol 4 (3) ◽  
pp. 227-247 ◽  
Author(s):  
K. Venkatesan ◽  
A. Gowri ◽  
R. Sivanandan
Keyword(s):  
Simulation Model ◽  
Object Oriented ◽  
Heterogeneous Traffic ◽  
Microscopic Simulation ◽  
Object Oriented Approach ◽  
Oriented Approach

scholarly journals EVALUATION OF LEFT TURN CHANNELIZATION AT A SIGNALIZED INTERSECTION UNDER HETEROGENEOUS TRAFFIC CONDITIONS

Transport ◽  
2008 ◽  
Vol 23 (3) ◽  
pp. 221-229 ◽  
Author(s):  
Asaithambi Gowri ◽  
Ramaswamy Sivanandan
Keyword(s):  
Sensitivity Analysis ◽  
Simulation Model ◽  
Waiting Times ◽  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Heterogeneous Environment ◽  
Left Turn ◽  
Traffic Conditions ◽  
Proposed Model ◽  
High Traffic Volume

The behaviour of traffic in the heterogeneous environment of an urban signalized intersection is complex and difficult to model. This paper presents the development of a simulation model to imitate the flow of heterogeneous traffic through a signalized intersection. It discusses the validation of the proposed model in terms of queue density and dissipation of vehicles at an intersection approach and found to be satisfactorily replicating the field conditions. In this study, the model was extended to examine the effects of left turn channelization on vehicle waiting times. Sensitivity analysis was carried out to study the variation of vehicle waiting times. Analysis estimated that vehicle waiting times were reduced if a channelization was provided for a high traffic volume and certain proportions of left turn vehicles in the intersection approach. The length of channelisation has marginal impacts on vehicle waiting times.

Estimating the Effects of Urban Street Incidents on Capacity

2017 ◽  
Vol 2615 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Aidin Massahi ◽  
Mohammed Hadi ◽  
Maria Adriana Cutillo ◽  
Yan Xiao
Keyword(s):  
Network Performance ◽  
Field Measurements ◽  
Signalized Intersection ◽  
Limited Information ◽  
Microscopic Simulation ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Urban Streets ◽  
Urban Street ◽  
Incident Duration

The effect of incidents on capacity is the most critical parameter in estimating the influence of incidents on network performance. The Highway Capacity Manual 2010 (HCM 2010) provides estimates of the drop in capacity resulting from incidents as a function of the number of blocked lanes and the total number of lanes in the freeway section. However, there is limited information on the effects of incidents on the capacity of urban streets. This study investigated the effects on capacity of the interaction between the drop in capacity below demand at a midblock urban street segment location and upstream and downstream of signalized intersection operations. A model was developed to estimate the drop in capacity at the incident location as a function of the number of blocked lanes, the distance from the downstream intersection, and the green time–to–cycle length (g:C) ratio of the downstream signal. A second model was developed to estimate the reduction in the upstream intersection capacity resulting from the drop in capacity at the midblock incident location as estimated by the first model. The second model estimated the drop in capacity of the upstream links feeding the incident locations as a function of incident duration time, the volume-to-capacity (V/C) ratio at the incident location, and distance from an upstream signalized intersection. The models were developed on the basis of data generated with the use of a microscopic simulation model calibrated by comparison with parameters suggested in HCM 2010 for incident and no-incident conditions and by comparison with field measurements.

scholarly journals ACCESS TIME OF EMERGENCY VEHICLES UNDER THE CONDITION OF STREET BLOCKAGES AFTER A LARGE EARTHQUAKE

2016 ◽  
Vol III-4/W1 ◽  
pp. 37-44
Author(s):  
N. Hirokawa ◽  
T. Osaragi
Keyword(s):  
Simulation Model ◽  
Large Scale ◽  
Large Earthquake ◽  
Access Time ◽  
Microscopic Simulation ◽  
Property Damage ◽  
Emergency Vehicles ◽  
Fire Stations ◽  
Average Access Time ◽  
Alternative Routes

The previous studies have been carried out on accessibility in daily life. However it is an important issue to improve the accessibility of emergency vehicles after a large earthquake. In this paper, we analyzed the accessibility of firefighters by using a microscopic simulation model immediately after a large earthquake. More specifically, we constructed the simulation model, which describes the property damage, such as collapsed buildings, street blockages, outbreaks of fires, and fire spreading, and the movement of firefighters from fire stations to the locations of fires in a large-scale earthquake. Using this model, we analyzed the influence of the street-blockage on the access time of firefighters. In case streets are blocked according to property damage simulation, the result showed the average access time is more than 10 minutes in the outskirts of the 23 wards of Tokyo, and there are some firefighters arrive over 20 minutes at most. Additionally, we focused on the alternative routes and proposed that volunteers collect information on street blockages to improve the accessibility of firefighters. Finally we demonstrated that access time of firefighters can be reduced to the same level as the case no streets were blocked if 0.3% of residents collected information in 10 minutes.

Passenger Car Equivalents for the Heterogeneous Traffic on Divided Rural Highways Based on Simulation Model

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Syed Omar Ballari ◽  
Pranab Kar ◽  
Mallikarjuna Chunchu
Keyword(s):  
Simulation Model ◽  
Heterogeneous Traffic ◽  
Passenger Car ◽  
Rural Highways

scholarly journals Passenger Car Unit Estimation at Signalized Intersection for Non-lane Based Mixed Traffic Using Microscopic Simulation Model

2017 ◽  
Vol 45 (1) ◽  
pp. 12 ◽  
Author(s):  
Gowri Asaithambi ◽  
Hayjy Sekar Mourie ◽  
Ramaswamy Sivanandan
Keyword(s):  
Simulation Model ◽  
Signalized Intersection ◽  
Accurate Estimation ◽  
Mixed Traffic ◽  
Passenger Car ◽  
Traffic Conditions ◽  
Passenger Car Unit ◽  
Road Width ◽  
On The Road ◽  
Chennai City

In India, traffic on roads is mixed in nature with widely varying static and dynamic characteristics of vehicles. At intersections, vehicles do not follow ordered queue and lane discipline. Different vehicle types occupy different spaces on the road, move at different speeds, and start at different accelerations. The problem of measuring volume of such mixed traffic has been addressed by converting different vehicles categories into equivalent passenger cars and expressing the volume in terms of Passenger Car Unit (PCU) per hour. The accurate estimation of PCU values for different roadway and traffic conditions is essential for better operation and management of roadway facilities. Hence, the objective of the present study is to estimate the PCU values at signalized intersection in mixed traffic and to study the influence of traffic volume, traffic composition and road width on PCU values.For this purpose, a mixed traffic simulation model developed specifically for a signalized intersection was used. The model was calibrated and validated with the traffic data collected from a signalized intersection in Chennai city. Simulation runs were carried out for various combinations of vehicular composition, volume levels and road width. It was observed that presence of heavy vehicles and increase in road width affects the PCU values. The obtained PCU values were statistically checked for accuracy and proven to be satisfied. The PCU values obtained in this study can be used as a guideline for the traffic engineers and practitioners in the design and analysis of signalized intersections where mixed traffic conditions exist.

Generating Driver Population for the Microscopic Simulation Model (CORSIM)

SIMULATION ◽  
2001 ◽  
Vol 76 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Steven I.-Jy Chien ◽  
Kyriacos C. Mouskos ◽  
Shoaib M. Chowdhury
Keyword(s):  
Simulation Model ◽  
Microscopic Simulation
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