Are Longer and Heavier Vehicles (LHVs) Beneficial for Society? A Cost Benefit Analysis to Evaluate their Potential Implementation in Spain

Abstract

In this paper we carry out a thorough review of the current research related to the benefits and costs arising from the implementation of longer and heavier vehicles (LHVs). From this review we concluded that despite the many studies available, little has been said about the sensitivity of the benefits and costs to the ultimate performance of the key variables related to the evolution of the economy, road transport performance, safety, and so on. In order to fill this gap, we have designed a sensitivity approach based on a cost benefit analysis tool to determine which variables demonstrate the greatest influence on the benefits and costs stemming from the implementation of LHVs. In order to test the methodology, we have used it in an analysis of the Spanish trunk network. The results show that the benefits of LHVs for society are significant. Even in the least favorable scenario, the economic benefits are greater than €3500 million over 15 years, and the environment enhanced as well, for CO₂ emissions are reduced by 2 Million tonnes. Overall we noted how the results are not very sensitive to the evolution of key variables in determining the final outcome. However, we found that the variables that have the greatest affect on the final benefit, such as traffic growth and social discount rate, depend basically on the performance of the overall economy. Moreover, the private cost for haulers seems to be more important in determining the final benefit than externality costs.     

基于响应面法的双前桥转向机构参数优化

针对某重型双前桥转向汽车轮胎磨损严重的问题,运用Adams/View建立了该型汽车双前桥转向机构的运动学模型,对其进行了运动学及转向性能仿真分析。针对第二桥车轮实际转角与理想转角之间差异较大的问题,采用灵敏度分析的方法,找出对转角差异影响较大的因子,在Adams/Insight中,使用响应面分析方法,对双前桥转向机构的参数进行了优化。对比优化前后的转角差异可知,实际转角与理想转角之间的差异得到了有效控制,从而降低了轮胎的磨损。     

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为更科学计算运输通道各种交通方式供给能力的配置量,运用随机效用理论和离散选择模型,建立基于动态广义费用的交通方式选择Logit模型,以郑州-西安客运通道为实例,运用Matlab软件编写程序,进行求解验证.研究表明,交通方式建设成本分摊随分担量变化而变化,并与随机感知系数和出行时间价值一起影响各方式分担率.与现有模型的对比表明,各方式分担率变化幅度与建设成本大小差异并非同向;交通方式选择的广义费用是动态变化的,不能仅仅依据静态的在途时间和票价进行方式分担率计算.该模型既能保证出行者的个体要求又能保障各种交通方式的持续运营,所计算的通道各交通方式分担率更符合实际.     

交通网络最优路径搜索的蚁群算法

针对交通网络中最优路径搜索问题,本文提出一种基于蚁群算法的新的求解方法。首先从剖析最优路径问题的求解要求出发,探讨蚁群算法求解的优势,由于其并行性、正反馈、协作性等特点,能在较短的时间内发现较优解。然后,根据交通网络的特性,在基本蚁群算法的基础上,引入信息素限定规则,采用平滑机制进行局部更新,改进了全局更新模型等,使该算法更能满足交通系统最优路径的求解要求,降低了路径选择的复杂性,从而提高计算效率。对改进的模型进行的模拟实验和比较分析表明,该模型与算法的效果良好。该研究为交通系统最优路径问题开创了一条新的途径,同时显示出蚁群算法在交通分配中的良好使用前景。     

大跨度隧道施工核心岩柱宽度优化研究

依托重庆轨道交通六号线红土地暗挖车站,利用有限元软件计算不同核心岩柱宽度下,围岩应力,支护结构内力,围岩塑性应变和拱顶沉降随开挖工序的变化。大量计算数据表明,深埋大跨度隧道双侧壁导坑法施工过程中,核心岩柱的宽度存在一个最优值,建议取为隧道跨度的0.3倍,该结论对其他类似的大跨度隧道双侧壁导坑法施工中核心岩柱宽度的留设具有借鉴意义。     

浅谈高速公路排水的优化完善

通过介绍平榆高速公路修建中,排水优化完善的过程和所采用的处理方法,分析了处理路基排水问题和处理已有水利管网与路基相交叉时采用的方法,处理问题时应注意的主要事项和关键时间,浅谈了高速公路排水优化完善的方法,为高速公路的排水设计和施工提出几点建议。     

一种渐变概率选择操作的实数编码量子进化算法

为进一步提高实数编码量子进化算法在进化过程中的种群多样性以及在高维复杂函数优化上的全局收敛性,参照模拟退火算法的特点,提出了一种渐变选择概率的实数编码量子进化算法,该方法通过在进化过程中逐步提高更好解的选择概率,在进化计算初期保持种群的多样性,能较为全面地对解空间进行搜索,而在进化末期,选择概率逐渐提高到1,只接受更好的解而保证算法稳定的收敛。仿真实验结果表明,该算法能有效避免早熟和局部极值问题,具有更快的收敛速度和更高的求解精度。     

基于粒子群的城市交通信号两级模糊控制

针对城市交通流的特点,设计一种单交叉口多相位两级模糊控制器,有效地减少控制规则数,实现相序、绿信比、周期随交通状况而自适应变化,并采用粒子群算法对模糊控制器的隶属度函数进行优化。仿真结果表明,该系统能有效地提高交叉口的通行能力,减少车辆平均延误。     

三峡水库航运优化调度蓄水方案研究

文章通过研究分析水库蓄水过程对坝上下游河段演变的影响,并根据汛末长江来水过程,对三峡枢纽汛末蓄水的起蓄时间、起蓄水位及下泄流量进行了研究,提出了合理的优化调度方案。该方案可降低三峡枢纽汛末蓄水对坝上回水变动区河段淤积的不利影响．提高对坝下河段浅滩的冲刷效果,并保证三峡水库按时蓄满。     

Ground delay program planning under uncertainty in airport capacity

Abstract

This paper presents an algorithm for assigning flight departure delays under probabilistic airport capacity. The algorithm dynamically adapts to weather forecasts by revising, if necessary, departure delays. The proposed algorithm leverages state-of-the-art optimization techniques that have appeared in recent literature. As a case study, the algorithm is applied to assigning departure delays to flights scheduled to arrive at San Francisco International Airport in the presence of uncertainty in the fog clearance time. The cumulative distribution function of fog clearance time was estimated from historical data. Using daily weather forecasts to update the probabilities of fog clearance times resulted in improvement of the algorithm's performance. Experimental results also indicate that if the proposed algorithm is applied to assign ground delays to flights inbound at San Francisco International airport, overall delays could be reduced up to 25% compared to current level.