Sharif Digital Repository

This study addresses the simultaneous berth and quay crane (QC) scheduling problem in a container terminal. The berths are considered as a continuous area and the vessels arrive dynamically. QCs are allowed to move to other vessels before completing the process on an assigned vessel.The objective function is determined based on the practical applications of the problem. It deals with minimization of sum of the completion time of vessels. In this research, a mathematical model has been developed for the research problem. According to NP-hardness of the research problem, two meta heuristic algorithms based on Tabu Search are proposed. To solve the problem, these methods have two layers with... 

Nowadays, advanced and inexpensive pre-clinical methods for investigating the effects of anti-cancer drugs are expanding. One of the latest three-dimensional laboratory modeling for evaluating the effects of drugs is the use of tumor-on-chip technology, which actually models the physiological system of the body through three-dimensional scaffolds, multicellular cultures, and shaped vascular systems. In this study, three-dimensional culture of cancer cells was performed in the form of spheroids. A chip of U-shaped microstructures with and without gaps was used to trap cells and form cancer spheroids. We simulated the simultaneous effect of drug and oxygen concentration distribution inside the... 

Performance based design becomes an effective method for estimating seismic demands of buildings. Incremental dynamic analysis (IDA) based on a nonlinear response time history analysis (NL-RHA) is considered to be the most accurate method in seismic demand calculations. However, modal incremental dynamic analysis (MIDA), based on the equivalent single degree-of-freedom (SDF) oscillator, is also often used in studying structural engineering performances. The MIDA procedure for estimating seismic demands is extended to unsymmetric-plan buildings. In the MIDA procedure, the seismic demand due to individual terms in the modal expansion of the effective earthquake forces is determined by... 

Shipment of hazardous materials has got an important role in the world of today. Nowadays, sustainable development has got serious attention, and human health and environment are one of the sustainable development bases. The risk of hazardous materials for human health and environment, and also importance of this kind of materials in the industrial economy, make necessity of programming for shipment of hazardous materials more serious. This thesis, presents an optimiziation model for routing and scheduling for shipment of hazardous materials. This model is a multi criteria time varing mixed integer programming (MIP). The presented model, finds the optimal routs and scheduling of movement... 

The toll pricing problem has been investigated in the literature for the cases of link, cordon, and facility (bridge, tunnel and etc.) pricing. Taking advantages of new technologies, nowadays it is possible to track the path of individual vehicles and collect the tolls by means of electronic devices. In this regard, we concerned the problem of path pricing. In this thesis, a variety of models for path pricing is proposed, the models are solved for the Hearn network and the results are compared to the results of link pricing models. In addition to the models, one exact solution method and two heuristic methods are proposed for the model of path pricing with the minimum total toll.... 

Signal coordination is one of the strategies to decrease the delay times in transportation networks. The application of dynamic traffic assignment has been made possible the modeling of flow loading in network links, and queue formation and dissipation in signalized intersections. In this thesis, signal offset set which produce the minimum total travel time in a network is determined, using a cell-based dynamic traffic assignment which is based on the cell transmission model. Genetic algorithm has been implemented to reach the suboptimal offset set. The application of the algorithm on a small test network shows that it can reach to an offset set with 1% error to the optimal offset set, by... 

Battery Electric vehicles (BEVs) are turning into a more well known type of transportation because of their energy effectiveness, further sustainability, and the arrangement of government support through motivation programs. However, BEVs have a constrained driving range due to their limited battery capacity. This limited battery capacity leads to a fear of exhausting energy in the middle of route which is referred to as range anxiety. The range anxiety affects BEV users’ travel choices such as route choice. Hence, BEV users should consider their vehicles’ remaining range while trying to minimize their travel times. This concern consequently changes the equilibrium flow on the transportation... 

Bohmian mechanics (or de Broglie–Bohm theory) is a causal version of the quan-tum mechanics which its main idea was expressed for the first time by Louis de Broglie in 1927, and then rediscovered by David Bohm in 1952 with a different approach.In this theory, the state of a system of particles, is described by the position of the particles, and a wavefunction evolving according to the Schrödinger equation. John Bell in 1987, considering the double-slit experiment and emphasizing the importance of the Bohm’s wave-particle theory said: ”Is it not clear from the smallness of the scintillation on the screen that we have to do with a particle? And is it not clear,from the diffraction and... 

Discrete network design problem is selecting a set of feasible projects among a set of candidate projects, considering a budget constraint in which user's cost is being minimized. Network design problem is one of the complicated problems in transportation science, since it is a bi-level problem in which the lower level is a traffic assignment problem and the upper level is finding the best set of arcs. Meta-heuristic algorithms can be used to solve this problem. Although, there is no guarantee to find the optimal solution by Meta-heuristic algorithms, but they find good solutions in short times. The purpose of this study is comparing the efficiency of three Meta-heuristic algorithms for... 

In recent years, traffic assignment problem with side constraints has been considered because of the importance of transportation supply management. Side constraints which are appeared due to imposing the traffic control policies are usually represented in form of link, node or district capacity constraints. Although link capacity constraint has been extensively studied, only a few papers on the other types of constraints such as capacity constraint on inflow to a district of city exist in the literature. In this research a method based on dynamic penalty function (DPF) is presented to solve traffic assignment problem with side constraints. Solution algorithm has been coded in a programming... 

Improving synchronization in a bus network has a profound effect on reducung waiting times and increasing satisfaction of system’s users. By doing so, the scheduler create a more attractive transit system that generates the opportunity for increasing the number of riders. In this research, the problem of creating timetables with maximum synchronization is modeled as a mixed integer programing (MIP) problem. The objective of this model is to minimize the total waiting times of passengers at transfer nodes. For this purpose, the model take advantage of uneven headways. Some of features that distinguish this research are more realistic objective function, and considering adjacent departures... 

In this dissertation, transportation networks with two classes of vehicles, including conventional vehicles and autonomous vehicles, have been studied. Four problems, including traffic assignment problem with two classes, congestion pricing problem for conventional vehicles, network design problem for autonomous vehicles, and simultaneous congestion pricing and network design problem, have been modeled and algorithms to solve them are presented. In this study, a dynamic penalty function algorithm is used to solve the congestion pricing problem, and a heuristic algorithm is used to solve the network design problem. Besides, the two-class traffic assignment problem is solved using the... 

With the arrival of autonomous vehicles in the fleet of the transportation network and the change of some travel parameters such as travel time, mode choice models, as well as route choice models, will also change. These types of vehicles will be able to move less distance from the front vehicle compared to regular vehicles. Also, due to the exchange of information between the vehicle and the infrastructure, we will see an increase in the capacity of the transportation network and its safety. The period of complete transition from regular vehicles to self-driving vehicles will be relatively important and therefore it is necessary to see these two phenomena together. It is assumed that...