Papers by Nima Dadashzadeh
IEEE MT-ITS Conference, 2019
Calibration procedure of traffic simulation models can be a very timeconsuming process in case of... more Calibration procedure of traffic simulation models can be a very timeconsuming process in case of the large-scale and complex network. In the application of Evolutionary Algorithms (EA) such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) for calibration of traffic simulation models, objective function evaluation is the most time-consuming step in such calibration problems, because EA has to run a traffic simulation and calculate its corresponding objective function value once for each set of parameters. The main contribution of this study has been to develop a quick calibration procedure for the parameters of driving behaviour models using EA and parallel computing techniques (PCTs). The proposed method was coded and implemented in traffic microscopic simulation software. Two scenarios with/without PCT were analyzed by developed methodology. Results of scenario analysis show that using an integrated calibration and PCT can reduce the total computational time of the optimization process significantly, in our experiments by 50%, and improve the optimization algorithm performance in such a complex optimization problem. The proposed method is useful for overcoming the limitation of computational time of the existing calibration methods and can be applied to various EAs and traffic simulation software.
Public Transport, 2018
Urban transit systems consist of multiple modes of transport of which cars and buses make up the ... more Urban transit systems consist of multiple modes of transport of which cars and buses make up the largest portion, particularly in developing countries. Thus, theories on the best means of allocating existing road spaces for cars and buses in city-centers and suburban corridors in order to improve operational transport efficiency has become a frontier research topic. Today, bus priority (BP) methods, as one of the most widely used Public Transport Priority (PTP) strategies, are commonly recognized as effective in lowering traffic congestion and reducing bus travel times. PT authorities, urban planners/designers, and researchers dealing with PT issues (i.e. buses), need to investigate existing BP methods in detail and assess relevant research before setting about designing or implementing new policies. Of course, evaluating such studies is a time-consuming process. In order to address this constraint, the present study proposes a general typology of existing BP methods and evaluates the challenges and requirements regarding their implementation by conducting a comprehensive literature review of existing studies related to PTP. Academic papers (theoretical, analytical, and simulation-based), technical reports, and design manual/guidelines in the context of both developed and developing countries have been searched as part of the literature review process. The study concludes by proposing two comparative summary tables of all spatial bus priority schemes in terms of "min. requirements to justify BP schemes" and "advantages and disadvantages of time-based and spatial BP treatments". These may provide engineers, urban planners or transit policy-makers with an accessible guide with which to refer in the evaluation stage. However, future research is recommended in order to bridge existing gaps concerning conditions required for the successful implementation of spatial bus priority strategies.
Promet-Traffic & Transportation , 2019
Most of the microscopic traffic simulation programs used today incorporate car-following and lane... more Most of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the O-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.
Sustainability, 2019
Under many circumstances, when providing full bus priority methods, urban transport officials hav... more Under many circumstances, when providing full bus priority methods, urban transport officials have to operate buses in mixed traffic based on their road network limitations. In the case of Istanbul's Metrobus lane, for instance, when the route comes to the pre-designed Bosphorus Bridge, it has no choice but to merge with highway mixed traffic until it gets to the other side. Much has been written on the relative success of implementing Ramp Metering (RM), for example ALINEA ('Asservissement lineáire d'entreé autoroutie') and Variable Speed Limits (VSL), two of the most widely-used "merging congestion" management strategies, in both a separate and combined manner. However, there has been no detailed study regarding the combination of these systems in the face of high bus volume. This being the case, the ultimate goal of this study is to bridge this gap by developing and proposing a combination of VSL and RM strategies in the presence of high bus volume (VSL+ALINEA/B). The proposed model has been coded using microscopic simulation software-VISSIM-and its vehicle actuated programming (VAP) feature; referred to as VisVAP. For current traffic conditions, the proposed model is able to improve total travel time by 9.0%, lower the number of average delays of mixed traffic and buses by 29.1% and 81.5% respectively, increase average speed by 12.7%, boost bottleneck throughout by 2.8%, and lower fuel consumption, Carbon Monoxide (CO), Nitrogen Oxides (NOx), and Volatile Organic Compounds (VOC) emissions by 17.3% compared to the existing "VSL+ALINEA" model. The results of the scenario analysis confirmed that the proposed model is not only able to decrease delay times on the Metrobus system but is also able to improve the adverse effects of high bus volume when subject to adjacent mixed traffic flow along highway sections.
Nima Dadashzadeh, Dr J.A Zakeri , Dr H. Eimani , Sina Dadashzadeh
In tern ational Conference on C... more Nima Dadashzadeh, Dr J.A Zakeri , Dr H. Eimani , Sina Dadashzadeh
In tern ational Conference on Civil Engineering, Architecture & Urban Sustainable Development, Tabriz, Iran - December 2013
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Papers by Nima Dadashzadeh
In tern ational Conference on Civil Engineering, Architecture & Urban Sustainable Development, Tabriz, Iran - December 2013
In tern ational Conference on Civil Engineering, Architecture & Urban Sustainable Development, Tabriz, Iran - December 2013