富春江船闸扩建改造工程创新设计与实践

针对碍航闸坝瓶颈问题,以富春江船闸为例,全面总结已建枢纽实施船闸扩建改造工程的主要关键技术与创新设计,包括保留原船闸并紧接新建一座大尺度船闸的总体布置、船闸结构设计、新老船闸衔接输水系统、老船闸加固改造、坝下施工围堰等,达到既满足通航安全要求,又避免对大坝安全、防洪安全、电站发电等不利影响,对解决我国众多枢纽船闸碍航问题具有典型示范作用。     

海上装配式混凝土石油平台设计

以渤海湾某油田为例,针对海油陆采一体化技术所需平台的功能要求,基于我国水运工程规范体系及现状技术水平,提出一种适用于油田开采的新型装配式混凝土平台结构方案,并对平台的结构设计理念、规范适应性研究、设计方案、施工船机配置、平台弃置等进行研究,可为类似海上大型平台结构提供借鉴。     

既有立交改扩建工程方案设计探讨

既有立交改扩建工程方案设计时,需综合考虑立交的新功能定位、交通量适应性、既有构造物利用、对现有道路交通的影响、立交工程造价等因素。结合相关经验,根据立交改扩建的背景原因,提出不同情况下既有立交改扩建工程方案设计思路,具有一定的理论和实际意义。     

梧州西江四桥主桥结构设计及受力分析

文章结合梧州西江四桥主桥工程方案，介绍了该主桥桥型的结构受力特性，阐述了主桥各主要构件的设计要点，并通过静力计算及动力分析，验证了该主桥结构设计方案的合理性和可行性。     

寒区公路隧道消防工程设计探讨

分析寒区公路隧道消防工程的现状,提出全新的消防设计方案,以解决寒冷地区冬季消防不可靠、费用高的问题.该设计方案可为类似工程提供一定借鉴.     

大神高速公路穿越矿区选线思路

结合山西省大营至神池高速公路设计经验,对矿区公路的特点进行了总结归纳,并以实际工程为例,提出了选线设计的总体原则和主要思路,供设计人员参考。     

Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

The goal of a network design problem (NDP) is to make optimal decisions to achieve a certain objective such as minimizing total travel time or maximizing tolls collected in the network. A critical component to NDP is how travelers make their route choices. Researchers in transportation have adopted human decision theories to describe more accurate route choice behaviors. In this paper, we review the NDP with various route choice models: the random utility model (RUM), random regret-minimization (RRM) model, bounded rationality (BR), cumulative prospect theory (CPT), the fuzzy logic model (FLM) and dynamic learning models. Moreover, we identify challenges in applying behavioral route choice models to NDP and opportunities for future research.     

We can all get along: The alignment of driver and bicyclist roadway design preferences in the San Francisco Bay Area

Two trends in the United States—growth in bicycling and enthusiasm for complete streets—suggest a need to understand how various roadway users view roadway designs meant to accommodate multiple modes. While many studies have examined bicyclists’ roadway design preferences, there has been little investigation into the opinions of non-bicyclists who might bicycle in the future. Additionally, little research has explored the preferences of the motorists who share roads with cyclists—despite the fact that motorists compose the vast majority of roadway users in the United States and similarly developed countries.This paper presents results from an internet survey examining perceived comfort while driving and bicycling on various roadways among 265 non-bicycling drivers, bicycling drivers, and non-driving bicyclists in the San Francisco Bay Area. Analysis of variance tests revealed that both drivers and bicyclists are more comfortable on roadways with separated bicycling facilities than those with shared space. In particular, roadways with barrier-separated bicycle lanes were the most popular among all groups, regardless of bicycling frequency. Striped bicycle lanes, a common treatment in the United States, received mixed reviews: a majority of the sample believed that they benefit cyclists and drivers through predictability and legitimacy on the roadway, but the lanes were rated significantly less comfortable than barrier-separated treatments—particularly among potential bicyclists.These findings corroborate research on bicyclists’ preferences for roadway design and contribute a new understanding of motorists’ preferences. They also support the U.S. Federal Highway Administration’s efforts to encourage greater accommodation of bicyclists on urban streets.     

A mixed logit model for predicting exit choice during building evacuations

Knowledge on human behaviour in emergency is crucial to increase the safety of buildings and transportation systems. Decision making during evacuations implies different choices, of which one of the most important concerns is the escape route. The choice of a route may involve local decisions on alternative exits from an enclosed environment. This study investigates the effect of environmental (presence of smoke, emergency lighting and distance of exit) and social factors (interaction with evacuees close to the exits and with those near the decision-maker) on local exit choice. This goal is pursued using an online stated preference survey carried out making use of non-immersive virtual reality. A sample of 1503 participants is obtained and a mixed logit model is calibrated using these data. The model shows that the presence of smoke, emergency lighting, distance of exit, number of evacuees near the exits and the decision-maker and flow of evacuees through the exits significantly affect local exit choice. Moreover, the model indicates that decision making is affected by a high degree of behavioural uncertainty. Our findings support the improvement of evacuation models and the accuracy of their results, which can assist in designing and managing building and transportation systems. The main aim of this study is to enrich the understanding of how local exit choices are made and how behavioural uncertainty affects these choices.     

A bi-objective optimization framework for three-dimensional road alignment design

Optimization of three-dimensional road alignments is a nonlinear non-convex optimization problem. The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment. In this study, we developed a novel bi-objective optimization approach to solve a three dimensional road alignment problem where the horizontal and vertical alignments are optimized simultaneously. Two conflicting cost objective functions, earthwork cost and the utility cost, are cast in a bi-objective optimization problem. We numerically compare several multi-objective optimization solvers, and find that it is possible to determine the Pareto front in a reasonable time.