Number Of Truck Trips Research Articles

The applications of multiple route optimization heuristics and meta-heuristic algorithms to solid waste transportation: A case study in Turkey

The dense population and high solid waste production make it challenging to determine the optimal routes for garbage collection trucks in metropolitan cities. Moreover, incorrectly planned routes cause waste of fuel, time, and other resources in the municipal garbage collection process. Vehicle Routing Problem (VRP) is a combinatorial optimization problem that aims to find optimal routes for a certain number of vehicles that start from a depot, visit all customers, and return to the depot. This study aims to find the optimal routes that satisfy all the needs by considering the waste collection process of the Istanbul Umraniye district. Data on the currently used routes, daily tonnages, number of truck trips, and the number and locations of containers in the Umraniye district were obtained from the Umraniye municipality. We solve the route optimization problem of the Umraniye municipality with multiple heuristics and meta-heuristic algorithms like the nearest neighbor, savings, Christofides, simulated annealing, greedy descent, guided local search, and Tabu Search algorithms. We show the examined heuristics and meta-heuristics can produce fast and feasible solutions to large-size real-life problems.

Lexicographic goal programming approach for a short-term mining planning problem

This article addresses a short-term mining planning problem. There are four objectives to be minimized: the deviations in grades and ore proportion in particle size ranges of the plant goals, the deviation in the waste mass to achieve the stripping rate, and the number of truck trips between mining fronts and discharges. The problem was solved through the lexicographical goal programming (LGP) method, which generates solutions that can guarantee a more comprehensive analysis of the decision-making process. The LGP method was tested by using several scenarios of a Brazilian mining company. These scenarios differ in the number of excavators and the tolerances concerning meeting the plants' ore grades. In the results, the impact on the values of the other objectives is analysed of varying the number of excavators and the tolerances in the plants' grade targets.

Análise da relação entre variáveis socioeconômicas e o número de viagens de veículos de carga na região metropolitana do Rio de Janeiro

The goal of this paper is to analyze the relation between socioeconomic variables and freight trip generation, regarding the Metropolitan Region of Rio de Janeiro, through the use of linear regression models. A systematic literature review is conducted in order to identify which independent variables could be used in the models. The variables found are mostly related to the establishment, such as number of employees, floor area, number of stores among others; and socioeconomic variables, such as population, households and jobs in the region. The relation between the latter and number of truck trips is verified with linear regression models, and the results show that the models are valid and the variables are able to explain the freight flow in the region studied, contributing to the region’s transport planning and to the strategic planning of companies that operate in the region.

Development of Expressway Network and Truck Trips through Logistics Facilities in Tokyo Metropolitan Area

In this study, the authors investigated the effects of expressway network on truck trips through logistics facilities in Tokyo Metropolitan Area by analyzing the Road Traffic Census in 1990 and 2005. As a result, first, the authors indicated that the number of truck trips through logistics facilities increased significantly over the 15 years. Second, the authors found that travel time savings that development of expressway induced affected the generation and number of truck trips through logistics facilities by tobit models. However, third, the authors found that only part of the truck trip origin and destinations (ODs) used the newly opened expressway sections with minimum travel time, and that it was likely that the travel time saved was consumed for arriving at the logistics facilities earlier than later.本研究では，東京都市圏を対象に， 1990年と2005年の道路交通センサスオーナーマスターODデータ等を利用し，全国の高速道路ネットワークの発達と物流施設を経由する貨物車トリップの経年変化を把握した上で，地域ごと品目ごとに高速道路ネットワークの発達が物流施設を経由する貨物車トリップの拡大や所要時間の変化をどのように促してきたかという点に着目して分析を行った．その結果，ほとんどの物流品目における貨物車トリップに関する所要時間抵抗は全施設着よりも物流施設着の方が大きくなっており，後者の方が高速道路ネットワークの発達等による所要時間の減少の影響をより大きく受けることがわかった．また，高速道路ネットワークが発達したことにより，一都三県（東京23区を除く）の物流施設に到着する貨物車トリップの最短所要時間は減少しているものの，多くの貨物車トリップが最短所要時間よりも長い所要時間を要しており，さらに，所要時間の短縮による余裕時間は到着後に利用し，1990年より2005年ではより早く到着している傾向があることがわかった．

Modelling natural drying of European beech (Fagus sylvatica L.) logs for energy based on meteorological data

ABSTRACTA key factor for improving the whole fuel wood supply chain is moisture management. Moisture affects material quality, transport costs and revenue. The aim of this study was to develop a drying model for piled European beech (Fagus sylvatica L.) logs based on meteorological data, employing the continuous weighing approach. Two drying cycles with three piles altogether were conducted. In the first one (February to October 2013) the moisture content of the pile dropped from 43.5% to 22.5%, whereas in the second one (December 2013 to March 2015), the moisture content of the 2 piles dropped from 42.1% and 40.5% to 20.6% and 19.8%, respectively. Model performance (R2 adj = 0.41) was validated by applying the model developed from the second cycle's data on the first cycle's data. Model's mean deviation in moisture content from the observed curve was −0.41% ± 0.72%. Economic benefits and environmental impact were highlighted. Calorific value increased from 2.65 to 3.57 kWh kg–1 from February to October 2013. Truckload volume utilization increased by 25.1% and transported calorific value by 48.0%. The number of truck trips for transportation was reduced from nine to seven.

A novel multi-objective meta-heuristic model for solving cross-docking scheduling problems

Cross-docking is a material handling and distribution technique in which products are transferred directly from the receiving dock to the shipping dock, reducing the need for a warehouse or distribution center. This process minimizes the storage and order-picking functions in a warehouse. In this paper, we consider cross-docking in a supply chain and propose a multi-objective mathematical model for minimizing the make-span, transportation cost and the number of truck trips in the supply chain. The proposed model allows a truck to travel from a supplier to the cross-dock facility and from the supplier directly to the customers. We propose two meta-heuristic algorithms, the non-dominated sorting genetic algorithm (NSGA-II) and the multi-objective particle swarm optimization (MOPSO), to solve the multi-objective mathematical model. We demonstrate the applicability of the proposed method and exhibit the efficacy of the procedure with a numerical example. The numerical results show the relative superiority of the NSGA-II method over the MOPSO method.

지역간과 대도시 화물자동차 통행발생 특성 비교

본 연구는 지역적 범위에 따른 화물자동차의 통행발생 특성을 비교 분석함으로써 지역간 및 대도시 화물수요모형 추정의 차이점을 도출하고 지역적 범위에 적합한 화물수요모형 개발의 필요성을 제시하고자 하였다. 지역간 및 대도시 화물자동차의 통행발생 특성을 분석하기 위하여 화물자동차 속성, 출발지 특성, 도착지 특성, 적재품목을 고려한 서열로짓모형을 구축하였으며, 이를 통하여 다양한 특성이 화물자동차의 통행발생에 미치는 영향을 정량적으로 분석하였다. 분석결과, 지역간 화물자동차와 대도시 화물자동차의 통행발생 특성은 화물자동차 속성, 출발지 특성, 도착지 특성, 적재품목에서 모두 서로 상이한 것으로 나타났다. 특히 지역간 화물자동차는 대도시와 달리 출발지 및 도착지 유형이 제조업이고, 출발지 및 도착지의 산업단지 생산액이 클수록 통행수가 많은 것으로 나타났다. this study is to deduct the difference between regional and urban commercial trips by analyzing the characteristics of the regional and urban truck movements. To achieve this, we investigated the relation between the number of truck trips and various truck generation attributes such as truck attributes, origin and destination attributes, and commodity type using ordered logit models, which are separately estimated for regional and urban truck movements using truck diary data of Korea Transport Database (KTDB). According to the estimation results, regional and urban truck movements have different characteristics in truck attributes, origin and destination attributes and commodity type. Especially, the number of regional trucks trips increased as origin and destination are manufactural area and as the total value of products of industrial area in origin and destination increase.