Application of Microscopic Traffic Simulation in Road Network Planning: A Case Study in the Central District of Beijing City

2004 ◽  
Author(s):  
Mingwei Hu ◽  
Hao Tang ◽  
Jinyu Duan ◽  
Qixin Shi
Keyword(s):  
Road Network ◽  
Traffic Simulation ◽  
Network Planning ◽  
Beijing City ◽  
Microscopic Traffic Simulation ◽  
Central District

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.

Multi-Thread Optimization for the Calibration of Microscopic Traffic Simulation Model

2018 ◽  
Vol 2672 (20) ◽  
pp. 98-109 ◽  
Author(s):  
Zenghao Hou ◽  
Joyoung Lee
Keyword(s):  
Monte Carlo ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Optimization Approach ◽  
Microscopic Traffic Simulation ◽  
Quasi Monte Carlo ◽  
Study Results

This paper proposes an innovative multi-thread stochastic optimization approach for the calibration of microscopic traffic simulation models. Combining Quasi-Monte Carlo (QMC) sampling and the Particle Swarm Optimization (PSO) algorithm, the proposed approach, namely the Quasi-Monte Carlo Particle Swarm (QPS) calibration method, is designed to boost the searching process without prejudice to the calibration accuracy. Given the search space constructed by the combinations of simulation parameters, the QMC sampling technique filters the searching space, followed by the multi-thread optimization through the PSO algorithm. A systematic framework for the implementation of the QPS QMC-initialized PSO method is developed and applied for a case study dealing with a large-scale simulation model covering a 6-mile stretch of Interstate Highway 66 (I-66) in Fairfax, Virginia. The case study results prove that the proposed QPS method outperforms other methods utilizing Genetic Algorithm and Latin Hypercube Sampling in achieving faster convergence to obtain an optimal calibration parameter set.

scholarly journals Planning Suitable Transport Networks for E-Scooters to Foster Micromobility Spreading

2021 ◽  
Vol 13 (20) ◽  
pp. 11422
Author(s):  
Martina Fazio ◽  
Nadia Giuffrida ◽  
Michela Le Pira ◽  
Giuseppe Inturri ◽  
Matteo Ignaccolo
Keyword(s):  
Urban Areas ◽  
Road Network ◽  
Southern Italy ◽  
Network Planning ◽  
Car Ownership ◽  
Sustainable Transport ◽  
The Road ◽  
Shared Mobility ◽  
Bike Sharing

Micromobility has a high potential to change mobility habits towards the use of sustainable transport modes. The shared mobility paradigm encourages the development of new mobility services, such as bike and e-scooter sharing, potentially reducing the need of car ownership, enlarging the accessibility of public transport and enriching the transport options needed to exploit Mobility as a Service solutions. While bike-sharing services have been used in urban areas for many years, shared e-scooter services (and private e-scooters) have been spreading only in the last few years. Due to the novelty of this mode, few attempts have been made for proper micromobility network planning. This paper proposes a multicriteria GIS-based analysis aimed at planning priority networks for e-scooters, focusing on safety, transport and land use characteristics. The case study is Catania, a medium-sized city in southern Italy, which suffers from a lack of adequate infrastructures for such sustainable modes of transport. By applying the methodology, it is possible to prioritise the road network elements that better fit the needs of e-scooters, thus paving the way for suitable infrastructures and network planning.

Multi-criteria forest road network planning in fire-prone environment: a case study in Serbia

2015 ◽  
Vol 59 (5) ◽  
pp. 911-926 ◽  
Author(s):  
Bogdan Stefanović ◽  
Dušan Stojnić ◽  
Milorad Danilović
Keyword(s):  
Road Network ◽  
Network Planning ◽  
Forest Road ◽  
In Fire
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