Macroscopic and microscopic analyses of managed lanes on freeway facilities in South Florida

Sajjadi, Soheil; Kondyli, Alexandra

doi:10.1016/j.jtte.2016.12.002

Cited by 10 publications

(11 citation statements)

References 9 publications

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“…They concluded that VISSIM provides highly reasonable estimates for U-turns at unsignalized intersections with a raised median for the cross-sections. 24 employed VISSIM to analyze the operational impacts of two HOT (high-occupancy lane) segments located in South Florida and observed that this approach can help determine the capacity and speed-flow relationship of these segments. Cao et al 25 used VISSIM to explore the impact of a coordinated variable speed limit (VSL) control on congestion distribution in a freeway.…”

Section: Microscopic Simulation Model Vissimmentioning

confidence: 99%

Impact of an automated road debris removal system on traffic flow using VISSIM

Yang

Kim

et al. 2020

SIMULATION

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This study introduces a state-of-the-art road debris removal system (i.e., automated road debris removal system (ROBOS)) and analyzes its impact on traffic flow using the microscopic simulation model, VISSIM. Robust simulation scenarios were established, and the major parameters of individual scenarios were also included based on extensive interviews with road workers. The performances of road workers and the ROBOS in regard to road debris removal were investigated in terms of four measures of effectiveness. These included queue, density, percentage delay, and number of vehicle stops. To mimic the major arterial roadways in South Korea, two-lane, three-lane, and four-lane roads were considered for implementing the road debris removal process. The simulation results as well as the statistical analysis revealed that the ROBOS outperforms the direct removal by road workers in all aspects. Thus, the ROBOS can remove the debris more safely and efficiently. The findings of this research can improve institutional operational guidelines for the ROBOS by providing an appropriate range for its parameters. This can result in enhancing traffic safety and efficiency. Notwithstanding the simulation results, the more unexpected cases, such as the driver carelessness during removal work, should be reflected in future research to thoroughly prevent the potential risk of accidents as well as maintaining smooth traffic flow.

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Section: Microscopic Simulation Model Vissimmentioning

confidence: 99%

Impact of an automated road debris removal system on traffic flow using VISSIM

Yang

Kim

et al. 2020

SIMULATION

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“…The underlying concept of this model operates on the assumption that a driver can be in any one of the four driving modes. This includes free mode, approaching mode, following mode and braking mode [29]. Depending upon speed, relative speed and distance, the driver switches from one mode to another [25].…”

Section: Calibration and Validation Of Modelmentioning

confidence: 99%

Evaluating the Effect of Speed Variation on Vehicular Emission Using an Integrated Modelling Approach

2020

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Globally, vehicular emissions have been attributed as the primary source of air pollution in urban areas. Hence, there is a growing need to accurately estimate the contribution of these vehicular emissions to the overall level of air pollution in order to design and implement pollution-reduction measures effectively. Vehicular emissions are largely influenced by vehicle operating characteristics such as climate, engine temperature, duration of trip, driving speed, acceleration and deceleration, and number of stops. Among all the characteristics, instantaneous speed of the vehicle is the major factor that affects the accuracy of vehicular emissions estimation. For the purposes of accurately predicting the impact of sudden acceleration and deceleration, an integrated modelling approach is proposed to estimate the traffic-related emissions on a micro-scale level. The microscopic traffic simulation model called VISSIM, captures the spatial and temporal variation of vehicles to eventually generate the speed profile for each vehicle. This speed profile will be used as an input for emission estimation model, EnViVer. In the present study, this integrated approach is used to measure the emissions for three different pollutants i.e. Carbon-di-oxide (CO 2 ), Nitrogen oxides (NO X ) and Particulate matters (PM 10 ) at selected road segments in Delhi City, India.

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“…However, only a few studies have addressed this issue using the simulation method ( 31 – 33 ). Similarly, when other managed lanes, such as high-occupancy toll lanes and high-occupancy vehicle lanes, are installed on an expressway, the reduction of capacity of GP lane segments caused by the cross-weaving of traffic from managed lanes was analyzed via the empirical method ( 34 , 35 ) and using a calibrated micro-simulation model ( 36 , 37 ). Nevertheless, it can be a time consuming process to estimate capacity using a simulation model.…”

Section: Literature Reviewmentioning

confidence: 99%

Capacity Modeling of Weaving Areas on Urban Expressways with Exclusive Bus Lanes Based on Gap Acceptance Theory

Chen

Han

Jia

et al. 2019

Transportation Research Record

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Intense lane-changing maneuvers at weaving sections often cause traffic turbulence on expressways, especially in the presence of a concurrent medium exclusive bus lane (XBL) and general purpose lanes. Such intense lane-changing activity usually affects the operation and reduces the capacity of weaving sections in relation to their equivalent basic expressway segments. In this context, a study on the capacity model of weaving areas on an expressway with a median XBL is conducted based on the analysis of lane-change behaviors using gap acceptance theory. Two weaving sections on expressways with median XBL are selected as case studies to obtain the estimated capacity as well as the maximum traffic throughput under a certain bus saturation on the XBL. The results show that estimated capacity is larger than maximum traffic throughput because of low utilization rate of buses on the XBL, and capacity is significantly affected by weaving demand. Error measures based on the estimated and observed maximum traffic throughput are analyzed to verify the validity of the proposed model. A sensitivity analysis shows that, compared with the increase of on-ramp bus flow ratio, the increase of off-ramp bus flow ratio results in a more obvious trend of the reduction of capacity and maximum traffic throughput.

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Macroscopic and microscopic analyses of managed lanes on freeway facilities in South Florida

Cited by 10 publications

References 9 publications

Impact of an automated road debris removal system on traffic flow using VISSIM

Impact of an automated road debris removal system on traffic flow using VISSIM

Evaluating the Effect of Speed Variation on Vehicular Emission Using an Integrated Modelling Approach

Capacity Modeling of Weaving Areas on Urban Expressways with Exclusive Bus Lanes Based on Gap Acceptance Theory

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