RAILWAY DIRECTION OPTIMIZATION USING GENETIC ALGORITHM

Author(s):  
Ranjit Pradhan ◽  
Om Prakash Dubey ◽  
Gulbir Singh

These days the development of “clever cities” with a high level of nice of existence is turning into a previous assignment to be addressed. In this framework, promoting the model shift closer to extra dependable, greener and in widespread extra sustainable transportation modes, specifically toward a “smart mobility” should appreciably make contributions to reap this aim. The goal of this paper is to offer customers with greater regular and reliable rail machine through optimizing the direction among stations.

2021 ◽  
Vol 13 (2) ◽  
pp. 947
Author(s):  
Shanshan Wu ◽  
Lucang Wang ◽  
Haiyang Liu

The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.


2021 ◽  
Vol 9 (12) ◽  
pp. 1340
Author(s):  
Xue-Bin Zheng ◽  
Yul-Seong Kim ◽  
Young-Ran Shin

Nowadays, roll-on/roll-off (Ro-Ro) is an important mode for short sea shipping (SSS) due to its advantages of fast and convenient load and unloading system. Despite the advantages, the market share of Ro-Ro is insignificant compared with lift-on/lift-off (Lo-Lo) in the Northeast Asian region that is geographically suitable for fostering SSS. Therefore, it is of utmost importance to have a better understanding of the effectiveness or Ro-Ro and Lo-Lo in the regional SSS market. For this purpose, this paper develops a model to estimate the total logistics cost of the two transportation modes. The total logistics costs of Ro-Ro and Lo-Lo are calculated on three major SSS routes between Korea and Japan. The results show that Lo-Lo outperforms Ro-Ro on most routes in terms of the cost effectiveness, and Ro-Ro is competitive only for high-priced and time-sensitive cargo. However, it is also documented that Ro-Ro transport has a significant impact on reduction in the total logistics costs when companies integrate the supply chain and improve the cooperative relationship to a high level.


Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2909
Author(s):  
Chen Zhang ◽  
Jiangtao Yang ◽  
Yong Zhang ◽  
Ziwei Liu ◽  
Gengxin Zhang

Beam hopping technology is considered to provide a high level of flexible resource allocation to manage uneven traffic requests in multi-beam high throughput satellite systems. Conventional beam hopping resource allocation methods assume constant rainfall attenuation. Different from conventional methods, by employing genetic algorithm this paper studies dynamic beam hopping time slots allocation under the effect of time-varying rain attenuation. Firstly, a beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided. On this basis, the dynamic allocation method by employing genetic algorithm is proposed to obtain both quantity and arrangement of time slots allocated for each beam. Simulation results show that, compared with conventional methods, the proposed algorithm can dynamically adjust time slots allocation to meet the non-uniform traffic requirements of each beam under the effect of time-varying rain attenuation and effectively improve system performance.


Author(s):  
M. K. Selala ◽  
W. Musakwa

Transportation is one of the most fundamental challenges of urban development in the modern world. Cities are currently moving towards sustainable transportation, which includes non-motorised transportation (NMT). The city of Johannesburg has a goal of becoming a smart city, with sustainable development and smart mobility. Encouraging the use of non-motorised transportation and public transport has the potential of reducing the use of private motorised transport and therefor its negative consequences within the city of Johannesburg. There is limited research on cycling and how cyclists interact with cycling infrastructure within the city. The lack of such knowledge hinders proper planning for NMT. This research studies the ability of geolocation based services to provide such information which can be useful in planning for NMT. Strava Metro application is the example of such geolocation based services. The potential of this app to influence planning is investigated. According to the information acquired by Strava Metro, there are more cyclists in suburbs at the centre of Johannesburg and towards the north and to the east, and in Kibler Park at the south western part of the city. There are indications that the numbers of cycling activities recorded by Strava Metro are affected by the availability of gated communities, income levels, crime levels and the provision of infrastructure.


2013 ◽  
Vol 65 (3) ◽  
Author(s):  
Farzaneh Moayedi ◽  
Rozana Zakaria ◽  
Yeoh Bigah ◽  
Mushairry Mustafar ◽  
Othman Che Puan ◽  
...  

Walkability is becoming a popular buzzword in planning cities that suffers high level of pollution due to, amongst others, emission from automobiles are embracing walkability in order to reap its benefits. In addition to that, walkability is the measure of how satisfactorily the transportation system meets the need of walking of the community. Several studies around the world have put great efforts to highlight the importance of walkability in urban as it is an important measure in determining a better environment. There is a strong relationship between walkability, sustainable transportation and the environment. In addition to that, walkability is a concept that is consistent with sustainable development and transportation system due to its economic, social and environmental benefits. Walkability satisfaction rating within a localized neighborhood can be measured at the macro level with the aid of GIS at the initial development stages. The methods and techniques used are varying and no single walkability assessment tool can be designed to suit different environmental conditions. Different groups of societies for whom the theoretical and practical perception of cities development vary, or different types of neighborhoods with different needs would warrant different approaches. Therefore, this paper examines the methods, techniques and indicators that have been used to measure walkability and highlights the important benefits of improving walkability in the built environment. Moreover it also describes the relationship between walkability, sustainable transportation and environment.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yun Wang ◽  
Yu Zhou ◽  
Xuedong Yan

As a sustainable transportation mode, high-speed railway (HSR) has been developing rapidly during the past decade in China. With the formation of dense HSR network, how to improve the utilization efficiency of train-sets (the carrying tools of HSR) has been a new research hotspot. Moreover, the emergence of railway transportation hubs has brought great challenges to the traditional train-sets’ utilization mode. Thus, in this paper, we address the issue of train-sets’ utilization problem with the consideration of railway transportation hubs, which consists of finding an optimal Train-set Circulation Plan (TCP) to complete trip tasks in a given Train Diagram (TD). An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. A case study based on Nanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method. The results show that a more efficient TCP can be formulated by introducing train-sets being dispatched among different stations in the same hub.


2019 ◽  
Vol 25 (8) ◽  
pp. 1200-1223 ◽  
Author(s):  
Ya-Yen Sun ◽  
Pei-Chun Lin

The travel distance of international journeys critically determines our reliance on different transportation modes and the associated carbon intensity. This study quantified the influence of macrolevel determinants to the inbound and outbound average distance per visitor from a panel data of 152 countries using spatial econometric analysis. Results confirmed that national development and transport capacity assisted the spatial expansion of outbound travel, while tourism competitiveness, geographic attributes, and institutional arrangements regarding people’s mobility facilitate inbound visits from distant source markets. A high level of heterogeneity was found across five continents where the distance friction effect through geographic barrier, transport accessibility, and the freedom of people’s movement exhibited a different level of influences. To manage the spatial expansion of international travels for a sustainable transport future, a strong geopolitical integration system across countries within the region and adjustments to the aviation capacity to disfavor long-haul flights have been proposed.


2005 ◽  
Vol 32 (1) ◽  
pp. 86-98 ◽  
Author(s):  
Todd A Randall ◽  
Cameron J Churchill ◽  
Brian W Baetz

In suburban areas, traffic issues are generally related to elevated speeds and volumes and a perceived reduction in personal safety. In response, traffic engineers have designed and implemented a variety of traffic calming measures for local and collector streets, with significant speed reductions and other benefits. Less common are measures to address traffic issues on arterials which (if implemented) might reduce speeds, thereby encouraging more sustainable transportation modes and lessening automobile dependence. A geographic information system (GIS) based tool has been developed to provide decision support for the development of neighbourhood traffic calming plans for all street types. This tool is potentially useful because of the increased use of traffic calming measures and the growing public desire for safer streets. Decision support (provided by the tool) is dependent upon measured or perceived problems, roadway type, and user objectives, as well as the potential impacts and current installation costs of traffic calming measures. An application to suburban Hamilton demonstrates the functionality of this tool.Key words: traffic calming, suburban retrofitting, urban sustainability, decision support system.


Sign in / Sign up

Export Citation Format

Share Document