武汉关—中华路过江乘客出行选择行为研究

为提高武汉关-中华路间过江轮渡相对于轨道交通的竞争力,对过江乘客的出行选择行为进行分析。通过对武汉关-中华路356名过江乘客的调查,建立二元Logit模型,明确影响过江乘客选择轮渡或者轨道交通2号线过江的关键因素:出行者收入,出行费用,行程时间。提出通过制定合理的轮渡票价、优化轮渡班次、完善轮渡码头两侧的交通衔接设施,提高轮渡的竞争力。     

盾构法在城市地下共同管沟施工中的运用前景分析

对比介绍了地下共同管沟修建的几种常见施工工法的特点,对于穿越主城区干管或次干管或穿越江、河、海共同管沟建议采用盾构法施工;阐述了困扰盾构法施工在修建地下共同管沟中广泛应用的问题,并提出了解决问题的方法;分析了盾构法施工在城市地下共同管沟施工领域中的应用前景。     

客运专线建成后对成渝客运市场影响分析

随着成渝客运市场的发展,成渝间运输通道越来越不能满足旅客出行的需求,成渝客专建成后,将对区域经济和整个运输通道产生极大影响,既有铁路运能不足的情况将得到缓解,逐步实现客货分流,同时铁路和公路的市场占有率将发生相应的变化。客专效用值的变化,必然引起运输方式选择的变化,铁路的客运市场占有率将进一步提高。     

Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings

In recent years we have seen important extensions of logit models in behavioural research such as incorporation of preference and scale heterogeneity, attribute processing heuristics, and estimation of willingness to pay (WTP) in WTP space. With rare exception, however, a non-linear treatment of the parameter set to allow for behavioural reality, such as embedded risk attitude and perceptual conditioning of occurrence probabilities attached to specific attributes, is absent. This is especially relevant to the recent focus in travel behaviour research on identifying the willingness to pay for reduced travel time variability, which is the source of estimates of the value of trip reliability that has been shown to take on an increasingly important role in project appraisal. This paper incorporates, in a generalised non-linear (in parameters) logit model, alternative functional forms for perceptual conditioning (known as probability weighting) and risk attitude in the utility function to account for travel time variability, and then derives an empirical estimate of the willingness to pay for trip time variability-embedded travel time savings as an alternative to separate estimates of time savings and trip time reliability. We illustrate the richness of the approach using a stated choice data set for commuter choice between unlabelled attribute packages. Statistically significant risk attitude parameters and parameters underlying decision weights are estimated for multinomial logit and mixed multinomial logit models, along with values of expected travel time savings.     

基于期望效用准则战场目标分配决策研究

文章通过分析影响目标价值的指标,构建火力分配决策模型,研究基于期望效用准则的战场目标分配决策方案模型,提出其分析步骤和方法,科学计算期望效用,较大程度上降低了决策的风险程度,具有一定的科学性和实用性,该方法为战场目标分配决策方案的选择提供理论依据。     

Study on State Parameter Control of Intake Air in Utility Tunnels Based on BB-MOPSO北大核心CSCD

In order to explore the control method of the intake air state in utility tunnels when the outside fresh air humidity is too high, taking the ventilation works of a utility tunnel section in Pingtan comprehensive experimental area as the research background, this paper proposes the control method of intake air state parameters for ventilation and dehumidification in utility tunnels under normal and accident conditions, by means of the effective ventilation and dehumidification duration prediction model, the evolutionary multi-objective algorithm (EMOA), and in combination with the ventilation control requirements. The results show that the intake air state parameter controller can be adjusted freely according to the different requirements of decision makers for ventilation fan working duration and dehumidifier working temperature and moisture content, and the optimized appropriate control objectives can be achieved, which is conducive to the real-time decision-making of the intake air state parameter control for ventilation and dehumidification in utility tunnels. © 2022, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

宝钢马迹山矿石中转港无功功率补偿及谐波滤波设计

宝钢马迹山矿石中转港盐雾腐蚀严重，供电电网短路容量小，港内有大冲击负荷。针对上述特点，在港区无功功率补偿及谐波设计时，选用了热管自冷却技术的SVC装置，实际运行效果非常好。可为类似工程提供借鉴。     

土工格栅的性能及其在路基工程中的应用

土工格栅是一种高分子聚合物经过定向拉伸形成的具有开孔网格、较高强度的平面网状材料，由于它具有独特的性能与功效，在国内的铁路和公路等土建工程中得到了广泛的应用。论述土工格栅的抗拉、抗疲劳性能和加筋、压实、抗变形等功能及其在路基工程中的各种应用，对指导工程实践具有重要意义。     

Generating complete all-day activity plans with genetic algorithms

Activity-based demand generation contructs complete all-day activity plans for each member of a population, and derives transportation demand from the fact that consecutive activities at different locations need to be connected by travel. Besides many other advantages, activity-based demand generation also fits well into the paradigm of multi-agent simulation, where each traveler is kept as an individual throughout the whole modeling process. In this paper, we present a new approach to the problem, which uses genetic algorithms (GA). Our GA keeps, for each member of the population, several instances of possible all-day activity plans in memory. Those plans are modified by mutation and crossover, while bad instances are eventually discarded. Any GA needs a fitness function to evaluate the performance of each instance. For all-day activity plans, it makes sense to use a utility function to obtain such a fitness. In consequence, a significant part of the paper is spent discussing such a utility function. In addition, the paper shows the performance of the algorithm to a few selected problems, including very busy and rather non-busy days.