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Modelling ambulance and traffic behaviour using microsimulation: The LIFE project application
Published in Gianluca Dell’Acqua, Fred Wegman, Transport Infrastructure and Systems, 2017
F. Galatioto, V. Parisi, E. McCormick, C. Goves
Vissim is an established software package in microscopic traffic simulation, capable of providing a realistic model of road users while allowing the flexibility to inject external models for vehicle behaviour. VISSIM has an External Driver Model for as DLL interface which provides the option to replace the default driving model with a user defined one as long as the choice is activated for that particular vehicle type.
Methods of dropping auxiliary lanes at freeway weaving segments
Published in Transportation Planning and Technology, 2018
Yi Qi, Yubian Wang, Xiaoming Sammy Chen, Ruey Long Cheu, Lei Yu, Hualiang Teng
The objective of this study is to evaluate different methods of dropping auxiliary lanes at freeway weaving segments. For this purpose, case studies were conducted in Houston, Texas. Two freeway segments with successive entrance and exit ramps were selected. Different methods for dropping auxiliary lanes at selected segments were designed and their performance analyzed by VISSIM micro-simulation. Micro-simulation has been widely used in traffic impacts analysis (Sbayti and Roden 2010; Li et al. 2011; Chen, Qi, and Wang 2014; Qi et al. 2014). Compared to traditional macroscopic models, microscopic simulation based models can better model the detailed interactions of vehicle movements and better identify the capacity constraints on upstream and downstream system performance (Sbayti and Roden 2010). Qi et al. (2014) compared the simulated traffic conditions (in VISSIM micro-simulation animations) with the recorded traffic videos. The results showed that calibrated VISSIM simulation models can well represent real traffic conditions.
Real-Time multi-objective optimization of safety and mobility at signalized intersections
Published in Transportmetrica B: Transport Dynamics, 2023
In this study, the microsimulation platform (VISSIM 7) (PTV, 2015) was used to simulate a signalized intersection in Surrey, British Columbia, Canada, to mimic the environment and evaluate the effectiveness of the proposed MORL-SM algorithm. The intersection is a four-legged signalized intersection with two through lanes and one left-turn lane. Real-time information (i.e. vehicle-to-infrastructure) (V2I) is received by the agent from all connected vehicles located within the standard V2I dedicated short-range communication (DSRC) zone. Previous research showed that the standard value of the DSRC should be less than 1000 meters (US-DOT 2009). It was observed that most studies on CV-based applications have applied a DSRC between 150 and 300 meters. Therefore, a value of 255 meters (i.e. the average of this range) was selected in this research. In VISSIM, a new vehicle class (i.e. Connected Vehicle) was added to represent connected vehicles, some features define different types of vehicles, such as conventional, autonomous, and connected vehicles. Connectivity features and driving behaviours can be identified for each vehicle type. For example, connected vehicles can communicate with the signal controller (i.e. the agent) by providing information about its speeds and positions each second within the DSRC domain (i.e. V2I communication). It also has other driving behaviours that can help them receive the signal information to adjust their speeds and driving behaviours accordingly (I2V); however, the I2V communication was not considered in this study. The analysis assumes that all the vehicles are connected. Thus, real-time information about traffic conditions was provided to the traffic controller.
An efficient soft computing-based calibration method for microscopic simulation models
Published in Journal of Transportation Safety & Security, 2018
Hamed Shahrokhi Shahraki, Ciprian Alecsandru, Reza Maghsoudi, Luis Amador
To simulate the traffic condition on the two highway sections, VISSIM is used in this study. VISSIM is a microscopic traffic simulation software, which is based on the psychophysical driver behavior model of Wiedemann (2011). VISSIM includes several driving behavior models (i.e., car-following, lane-changing, lateral behavior, and amber behavior) characterized by several parameters (VISSIM Users' Manual, 2011). The selected study areas are built in VISSIM, and a sensitivity analysis was conducted to determine the parameters that affect the traffic behavior. The sensitivity analysis investigates the magnitude of the impact each individual model parameter has on the network performance.