scholarly journals Assessing the effect of different parking pricing policies on DRT demand using multiagent traffic simulation, case study of St. Petersburg

2020 ◽  
Vol 170 ◽  
pp. 799-806
Author(s):  
Andrey Kolomatskiy ◽  
Dmitriy Baranov ◽  
Vladislav Korchagin ◽  
Timofey Volotskiy
Keyword(s):  
Traffic Simulation ◽  
Pricing Policies ◽  
Parking Pricing

Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning

2020 ◽  
Vol 137 ◽  
pp. 65-78
Author(s):  
Hao Wang ◽  
Ruimin Li ◽  
Xiaokun (Cara) Wang ◽  
Pan Shang
Keyword(s):  
Pricing Policies ◽  
Parking Pricing

Calibration and Validation of Microscopic Traffic Simulation Tools: Stockholm Case Study

2003 ◽  
Vol 1831 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Tomer Toledo ◽  
Haris N. Koutsopoulos ◽  
Angus Davol ◽  
Moshe E. Ben-Akiva ◽  
Wilco Burghout ◽  
...  
Keyword(s):  
Travel Behavior ◽  
Traffic Simulation ◽  
Choice Model ◽  
Aggregate Data ◽  
Flow Measurements ◽  
Microscopic Traffic Simulation ◽  
Calibration And Validation ◽  
The North ◽  
Sensor Locations

The calibration and validation approach and results from a case study applying the microscopic traffic simulation tool MITSIMLab to a mixed urban-freeway network in the Brunnsviken area in the north of Stockholm, Sweden, under congested traffic conditions are described. Two important components of the simulator were calibrated: driving behavior models and travel behavior components, including origin–destination flows and the route choice model. In the absence of detailed data, only aggregate data (i.e., speed and flow measurements at sensor locations) were available for calibration. Aggregate calibration uses simulation output, which is a result of the interaction among all components of the simulator. Therefore, it is, in general, impossible to identify the effect of individual models on traffic flow when using aggregate data. The calibration approach used takes these interactions into account by iteratively calibrating the different components to minimize the deviation between observed and simulated measurements. The calibrated MITSIMLab model was validated by comparing observed and simulated measurements: traffic flows at sensor locations, point-to-point travel times, and queue lengths. A second set of measurements, taken a year after the ones used for calibration, was used at this stage. Results of the validation are presented. Practical difficulties and limitations that may arise with application of the calibration and validation approach are discussed.

UC-Win/Road Simulation Systems Application to Domestic Simulation of Road Traffic

2014 ◽  
Vol 505-506 ◽  
pp. 1219-1224
Author(s):  
Yun Han Li ◽  
Chang Qing Zheng ◽  
Chun Fu Shao ◽  
Han Deng
Keyword(s):  
Environmental Assessment ◽  
Traffic Simulation ◽  
Road Traffic ◽  
Traffic Planning ◽  
Simulation Research ◽  
Planning And Design ◽  
The Future ◽  
Simulation Systems

In recent years, a promising software which is called UC-win/road has been playing a major role in Chinese traffic simulation research. It is mainly applied in traffic planning and design, road and landscape simulation, and transportation environmental assessment. In this article, firstly, a brief description of the software will be introduced. Secondly, the possible problems which might be generated in road traffic simulation will be given. Finally, one case study will be shown in detail and the future of the software in China will be prospected.

A method for reducing fuel consumption of urban scooters using vehicle design and traffic simulation

2016 ◽  
Vol 231 (7) ◽  
pp. 1252-1271
Author(s):  
Yu-An Lin ◽  
Pao-An Chen ◽  
Kuei-Yuan Chan
Keyword(s):  
Fuel Consumption ◽  
Traffic Simulation ◽  
Continuous Variable ◽  
Vehicle Design ◽  
Road Vehicles ◽  
Continuous Variable Transmission ◽  
Traffic Impact ◽  
Variable Transmission ◽  
Traffic Simulations

Vehicular tailpipe emissions have one of the largest impacts on urban air quality. One way to reduce these hazardous emissions is to reduce the amount of fuel consumed by on-road vehicles. In this research, we consider both vehicle design and driver behavior as crucial elements in evaluating the environmental impact of two-wheel vehicles. Any redesign of vehicle specifications, results in different driving patterns that need to be re-evaluated in a realistic environment with traffic simulation. Therefore we developed traffic simulations with mixed fleets to model scooter/driver behaviors to reflect urban driving scenarios. Based on the results, a 31-variable continuous variable transmission (CVT) design and a 14-parameter cellular automata traffic model are integrated. Simultaneous redesign of CVT with traffic simulation can reduce the fuel consumption by 16.2% in our case study. This promising outcome demonstrates the need for multi-discipline integration of real-world traffic impact assessments and improvements.

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