Micro-Simulation Study Of Bus Priority On Roads Carrying Highly Heterogeneous Traffic

2008 ◽  
Author(s):  
V. T. Arasan ◽  
P. Vedagiri
Keyword(s):  
Simulation Study ◽  
Heterogeneous Traffic ◽  
Bus Priority ◽  
Micro Simulation

scholarly journals Capacity Estimation of Multilane Highways under Heterogeneous Traffic Conditions using Micro-Simulation Technique

2020 ◽  
Vol 12 (01) ◽  
pp. 20-25
Author(s):  
Tanumoy Ghosh ◽  
Sudip Kumar Roy ◽  
Subhamay Gangopadhyay
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Simulation Models ◽  
Heterogeneous Traffic ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Geometric Conditions ◽  
Micro Simulation ◽  
Traffic Flow Characteristics

The behavior of a driver of any vehicle is important in estimating heterogeneous traffic conditions with no strict lane discipline. In the present study, a micro-simulation model is used to analyze the mixed traffic condition with different drivers’ behavior parameters. The field data collected on traffic flow characteristics of multilane highways are used in the calibration and validation of the simulation model. Out of the ten coefficient of correlation (CC) parameters in the simulation model, five are used in the present study to make a model of simulation for heterogeneous traffic; the other five parameters are not considered for testing their influence on simulated capacity values as they represent very typical behavior of a driver, either in car-following, or in free-flow conditions. Two separate simulation models are made by changing the CC (CC0, CC1, CC2, CC7, and CC8) parameters, each for a four-lane divided and a six-lane divided highway as the geometric conditions of the roads and the traffic flow is different for both the cases. These models are then applied on two other sections of a four-lane divided and a six-lane divided highway to validate the parameters of the model developed earlier for other sections.

scholarly journals Calibration of Micro-Simulation Model Parameters for Heterogeneous Traffic using Mode-Specific Performance Measure

2020 ◽  
Vol 2674 (1) ◽  
pp. 135-147 ◽  
Author(s):  
Kinjal Bhattacharyya ◽  
Bhargab Maitra ◽  
Manfred Boltze
Keyword(s):  
Travel Time ◽  
Simulation Models ◽  
Performance Measure ◽  
Heterogeneous Traffic ◽  
Model Parameters ◽  
Mixed Traffic ◽  
Traffic Operations ◽  
Complex Interactions ◽  
Micro Simulation ◽  
Kolmogorov Smirnov

Calibration is an essential prerequisite to scenario evaluations using traffic micro-simulation models (TMMs). In the context of mixed-traffic operations, where different fast and slow moving vehicular modes form a heterogeneous environment, a well-calibrated model needs to give adequate importance to each mode to realistically replicate the complex interactions in the traffic stream. This paper presents a methodology for calibrating TMMs for such mixed-traffic conditions. A combination of vehicle mode-specific travel time distributions is adopted as the performance measure for the calibration. To aid practitioners, each step of the methodology is demonstrated using a VISSIM simulator considering a signalized corridor in the Kolkata metro city, India. The work includes genetic algorithm (GA)-based optimization for obtaining mode-specific parameter sets. The Kolmogorov-Smirnov test is carried out to compare the travel time distributions of different modes. The calibrated model is also validated considering several signalized approaches along the calibrated study corridor. The results show that the methodology is successful in developing a model for non-lane based mixed-traffic operations with vehicle mode-specific optimized parameter sets.

scholarly journals Cost-effectiveness of lung cancer screening by low-dose CT in China: a micro-simulation study

2021 ◽  
Author(s):  
Yihui Du ◽  
Yanju Li ◽  
Grigory Sidorenkov ◽  
Rozemarijn Vliegenthart ◽  
Marjolein A. Heuvelmans ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cost Effectiveness ◽  
Cancer Screening ◽  
Simulation Study ◽  
Low Dose ◽  
Lung Cancer Screening ◽  
Low Dose Ct ◽  
Micro Simulation

scholarly journals Would a Legal Minimum Wage Reduce Poverty? A Micro-simulation Study for Germany

2009 ◽  
pp. 131
Author(s):  
Kai-Uwe Müller ◽  
Viktor Steiner
Keyword(s):  
Minimum Wage ◽  
Simulation Study ◽  
Household Head ◽  
Policy Issue ◽  
Income Support ◽  
Female Household Head ◽  
Micro Simulation ◽  
Families With Children ◽  
Household Incomes ◽  
Benefit System

In view of rising poverty rates, the introduction of a legal minimum wage has become an important policy issue in Germany. We analyze the distributional effects of a nationwide minimum wage of 7.50e per hour based on a micro-simulation model accounting for interactions between wages, the tax-benefit system, and net household incomes. Due to the existing system of means-tested income support, the minimum wage would be ineffective in reducing poverty in the overall population, although poverty among singles and families with children or with a female household head would be slightly reduced.

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