scholarly journals Multiobjective optimization model of intersection signal timing considering emissions based on field data: A case study of Beijing

2018 ◽  
Vol 68 (8) ◽  
pp. 836-848 ◽  
Author(s):  
Weibin Kou ◽  
Xumei Chen ◽  
Lei Yu ◽  
Huibo Gong
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Model ◽  
Field Data ◽  
Signal Timing

scholarly journals Multiobjective Optimization Model for Sustainable Waste Management Network Design

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Sun Olapiriyakul ◽  
Warut Pannakkong ◽  
Warith Kachapanya ◽  
Stefano Starita
Keyword(s):  
Multiobjective Optimization ◽  
Waste Management ◽  
Optimization Model ◽  
Negative Impact ◽  
Cost Effective ◽  
Management Systems ◽  
Large Share ◽  
Rapid Urbanization ◽  
Transportation Routes

Inefficient or poorly planned waste management systems are a burden to society and economy. For example, excessively long waste transportation routes can have a negative impact on a large share of the population. This is exacerbated by the rapid urbanization happening worldwide and in developing countries. Sustainability issues should be accounted for at every stage of decision making, from strategic to daily operations. In this paper, we propose a multiobjective optimization model to design a cost-effective waste management supply chain, while considering sustainability issues such as land-use and public health impacts. The model is applied to a case study in Pathum Thani (Thailand) to provide managerial insights.

scholarly journals Multiobjective Optimization Model for Profile Design of Hump Distributing Zone

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Hongliang Zhang ◽  
Jing Yang ◽  
Taoyuan Yang
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Model ◽  
Improved Genetic Algorithm ◽  
Special Equipment ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Railway Freight ◽  
Contrast Analysis ◽  
Profile Design

Railway freight trains consist of many cars heading to different destinations. Hump is the special equipment that distributes cars with different destinations to different tracks in a marshalling station. In recent years, with the development of Chinese freight car technology, the axle load has risen from 21 ton to 23 ton and will rise to 27 ton in the future. Many rolling problems appear in the hump distributing zone with the application of 23-ton axle load cars, which will be exacerbated by 27-ton axle load cars. This paper proposes a multiobjective optimization model based on the angle of the hump profile design with minimizing weighted accumulating rolling time (WART) and hump height as optimization goals and uses the improved genetic algorithm NSGA-II to determine a solution. In case study, Pareto solution set is obtained, and the contrast analysis with traditional method is made.

scholarly journals Signal Timing Optimization Model Based on Bus Priority

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 325 ◽  
Author(s):  
Xu Sun ◽  
Kun Lin ◽  
Pengpeng Jiao ◽  
Huapu Lu
Keyword(s):  
Optimization Model ◽  
Optimization Problem ◽  
Programming Model ◽  
Computing Methods ◽  
Signal Timing ◽  
Bus Priority ◽  
De Algorithm ◽  
Vehicle Delay ◽  
Beijing China

This paper focuses on the optimization problem of a signal timing design based on the concept of bus priority. This optimization problem is formulated in the form of a bi-level programming model that minimizes average passenger delay at intersections and vehicle delay in lanes simultaneously. A solution framework that implements the differential evolution (DE) algorithm is developed to efficiently solve the model. A case study based on a real-world intersection in Beijing, China, is implemented to test the efficiency and applicability of the proposed modeling and computing methods. The experiment’s result shows that the optimization model can not only significantly improve the priority capacity of the buses at the intersection but also reduce the adverse impact of bus-priority approaches on the private vehicles for the intersections.

Sediment transport under dry weather conditions in a small sewer system

1998 ◽  
Vol 37 (1) ◽  
pp. 155-162
Author(s):  
Flemming Schlütter ◽  
Kjeld Schaarup-Jensen
Keyword(s):  
Sediment Transport ◽  
Field Data ◽  
Field Measurements ◽  
Weather Conditions ◽  
Sewer System ◽  
Transport Models ◽  
Sewer Systems ◽  
Combined Sewer ◽  
Initial Results

Increased knowledge of the processes which govern the transport of solids in sewers is necessary in order to develop more reliable and applicable sediment transport models for sewer systems. Proper validation of these are essential. For that purpose thorough field measurements are imperative. This paper renders initial results obtained in an ongoing case study of a Danish combined sewer system in Frejlev, a small town southwest of Aalborg, Denmark. Field data are presented concerning estimation of the sediment transport during dry weather. Finally, considerations on how to approach numerical modelling is made based on numerical simulations using MOUSE TRAP (DHI 1993).

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