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首页> 外文期刊>Fresenius environmental bulletin >ARC ROUTING PROBLEM APPROACH FOR REDUCING EXHAUST GAS EMISSION IN ROAD TRANSPORTATION: A CASE STUDY OF ERZURUM
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ARC ROUTING PROBLEM APPROACH FOR REDUCING EXHAUST GAS EMISSION IN ROAD TRANSPORTATION: A CASE STUDY OF ERZURUM

机译:减少道路交通中废气排放的ARC路由问题方法:以erzurum为例

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摘要

One of the sectors that have the greatest impact on greenhouse gas emissions around the world is the road transportation sector. For this reason, the studies carried out for the logistic activities of the enterprises and entrepreneurs in a way that will cause the least harm to the environment are accelerating day by day. Some processes are routinely carried out on the road to ensure both transportation safety and environmental regulation. One of these processes is the snow plowing process, which is frequently performed in winter months. There are several heavy-duty vehicles that using for snow plowing operations on the roads, and these vehicles are seriously releasing exhaust gases. Therefore, in this study, the measures reducing the adverse effects of exhaust emissions on the environment arising from road vehicles were analyzed by arc routing problem approach. As one of these measures, transportation planning of the vehicles traveling on the road network and the completion of the process by vehicles in the shortest distance is expected. The optimum routes of vehicles traveling on the roads are critically important in terms of cost, distance and environmental effects. In this study, multiple vehicle variants of k-Chinese Postman Problem (k- CPP), which is one of the most frequently used approaches of arc routing problems, are addressed. A new type called Balanced k-Chinese Postman Problem (Bk-CPP) that balances the workload among vehicles and that has an important role for real-world applications is developed. A bi-objective integer-programming model is presented. There are two objectives; to minimize the total distance covered, and to balance the workload in terms of distance traveled among vehicles as much as possible. The proposed Bk-CPP model is applied to a network of a part of Ataturk University campus in Turkey for snow plowing operations. Additionally, well-known arc routing test instances that are widely used in the literature are solved to demonstrate the effectiveness and applicability of the proposed Bk-CPP model. The results show that the optimum routes significantly outperform to reduce the amount of exhaust gas emissions.
机译:对全世界温室气体排放影响最大的部门之一是公路运输部门。因此,针对企业和企业家的物流活动以对环境造成最小损害的方式进行的研究正在日益加快。为了确保运输安全和环境监管,通常在道路上进行一些处理。这些过程之一是除雪过程,该过程通常在冬季进行。有几种重型车辆用于道路上的扫雪作业,这些车辆正在严重释放废气。因此,在本研究中,通过弧线问题法分析了减少道路车辆产生的废气排放对环境的不利影响的措施。作为这些措施之一,期望在道路网络上行驶的车辆的运输计划以及最短距离的车辆的完成处理。就成本,距离和环境影响而言,在道路上行驶的车辆的最佳路线至关重要。在这项研究中,解决了k-中国邮递员问题(k-CPP)的多种变体,k-中国邮递员问题是弧路由问题最常用的方法之一。开发了一种新的类型,称为平衡k-中文邮递员问题(Bk-CPP),它可以平衡车辆之间的工作量,并在实际应用中具有重要作用。提出了一种双目标整数规划模型。有两个目标;以最大程度地减少覆盖的总距离,并尽可能平衡车辆之间的行驶距离。提议的Bk-CPP模型应用于土耳其阿塔图尔克大学校园一部分的网络,用于除雪作业。此外,解决了在文献中广泛使用的众所周知的弧形布线测试实例,以证明所提出的Bk-CPP模型的有效性和适用性。结果表明,最佳路线明显优于减少废气排放量的路线。

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