2018
DOI: 10.1016/j.jtte.2018.01.005
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Volume warrants for major and minor roads left-turning traffic lanes at unsignalized T-intersections: A case study using VISSIM modelling

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Cited by 15 publications
(10 citation statements)
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“…At the same time, since it is difficult to obtain the capacity value of TSLSR under different geometric layout and signal timing parameters, this paper employs the VISSIM simulation as the benchmark. The TSLSR was modeled by VISSIM [20] by using Figure 3 as the base image. The image was imported and scaled, and the links and connectors representing the roadway were then drawn.…”
Section: Model Accuracy Testmentioning
confidence: 99%
“…At the same time, since it is difficult to obtain the capacity value of TSLSR under different geometric layout and signal timing parameters, this paper employs the VISSIM simulation as the benchmark. The TSLSR was modeled by VISSIM [20] by using Figure 3 as the base image. The image was imported and scaled, and the links and connectors representing the roadway were then drawn.…”
Section: Model Accuracy Testmentioning
confidence: 99%
“…For the entry flow measurement, the data was obtained by using the "data collection point" tool in VISSIM. The function of the data collection points is similar to counting boards which are attached to roadway tracks for recording of traffic volume in some countries [12]. Data collection points were used to count the simulated throughput of vehicles when placed at the intersection of in/out feed of the main road and slip road.…”
Section: A Entry Flow Measurementmentioning
confidence: 99%
“…10 vehicles were chosen randomly from the simulation and their speeds and travel times were calculated for each peak hour in each lane. It is an approach used by Nyame-Baafi et al [22] for unsignalized intersections which was also present at avenue 27. A comparison was made between the introduced speeds and the speeds provided by the ministry of works using the validation criteria given in table I.…”
Section: A Calibration and Validationmentioning
confidence: 99%