SBS和SBR改性沥青混合料抗紫外线老化性能研究

沥青路面的耐久性与沥青混合料抗老化性能密切相关.为了研究紫外线老化作用对沥青混合料力学性能以及高温抗变形能力的影响,通过对相同级配的SBS,SBR和基质沥青混合料紫外老化后进行劈裂试验和车辙试验,分析了经过不同紫外老化时间后3种混合料的劈裂强度和动稳定度的变化规律.结果表明：改性沥青混合料均表现出更好的抗紫外线老化的性能,其中SBS改性沥青混合料效果优于SBR改性沥青混合料.     

城际铁路与市域快轨的规划决策支持研究

基于城际铁路与市域快轨在决策体系和功能技术上的现状背景,分析深圳、香港两地的都市圈轨道交通建设实践案例,旨在提出统筹空间规划、轨道交通规划与工程设计的决策支持框架。从出行人性化、空间相契合、经济可持续三方面阐述正确处理城际铁路和市域快轨关系应考虑的三方面因素。进而提出涵盖车站、线路、土地利用、周边接驳、投融资等方面的规划决策分析框架。强调城际铁路和市域快轨的功能要落实在都市圈的空间规划上,通过全程旅行速度来控制速度目标值的实现,进而确定车辆选型、供电制式、站间距等设计要素。     

血液酒精浓度对驾驶行为的影响研究

为了探讨饮酒对驾驶员驾驶行为的影响,以驾驶模拟器为平台,测试了13名驾驶人员在不同血液酒精浓度（0mg/dl,20mg/dl,50 mg/dl,80 mg/dl）、不同场景下加速、刹车情况并调查了其主观感受。进行数据分析后初步得到一些结论：饮酒（特别是在较高血液酒精浓度的情况下）确实会对驾驶行为产生影响并可能会导致某些危险驾驶行为;性别和驾驶经验也会对不同酒精浓度下的驾驶行为产生影响。     

抗车辙剂作用下沥青混合料的路用性能指标

通过室内试验研究了抗车辙剂对沥青混合料高温稳定性、低温抗裂性和水稳定性等路用性能的影响.试验结果表明,加入抗车辙剂能明显地改善沥青混合料的路用性能.但抗车辙剂掺量并不是越大越好,虽然掺量越大高温稳定性越好,但当掺量太大时会降低混合料的低温抗裂性和水稳定性.综合来看抗车辙剂的最佳掺量为0.7％.     

振华启东船厂产能升级布局规划

振华启东船厂前身为成立于2007年的道达船厂,针对厂区内各功能模块之间的能力匹配问题凸显、部分设施破损、部分设施严重制约厂区生产能力的问题,通过厂区现状平面布局、工艺流程系统梳理,根据企业发展定位和关键生产要素潜能制定科学合理的规划目标,以生产设施产能分析计算分析为理论支撑,提出一套各区域产能相匹配且适应未来规模化、精益化、规范化、安全化发展的产能升级布局规划方案,达到各功能模块布局合理、生产能力匹配、生产工艺流畅、生产设施规范的目的。针对既有港区的产能升级规划,采用以定量计算为支撑的规划方法,可供类似工程参考与借鉴。     

航道治理建设规划环境影响识别及指标体系建立

针对航道治理建设规划环境影响识别及指标体系建立问题,对长江干线"十三五"航道治理建设规划环境影响评价成果进行分析研究,采用系统分析、生态因子识别、生态影响判别等方法,得出规划要素与资源、环境要素之间的关系,并结合环境目标提出评价指标体系,可为航道规划环境影响评价提供参考和借鉴。     

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

Recently, there has been a surge of interest in Tradable Credits (TC) as an alternative measure to manage the growth of personal car use. This paper summarises the results and methodologies of studies that have sought to anticipate the behavioural responses to several proposed TC schemes that target personal travel. In a critical reflection on this work and in an attempt to inspire future research, we argue that future empirical studies on TC behaviours can greatly benefit from insights from the fields of behavioural economics and cognitive psychology. Therefore, in the second part of the paper, we bring together behavioural concepts from these fields that are relevant in a TC decision-making context. Based on observations from current TC studies and the behavioural mechanisms identified in the second part of the paper, we propose promising directions for future research on understanding the impact of TC on personal car travel.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

Empirical analysis of short period traffic counts and their efficiency: the case of Indian traffic

Short period traffic counts (SPTCs) are conducted routinely to estimate the annual average daily traffic (AADT) at a particular site. This paper uses Indian traffic volume data to methodically and extensively study the effect of four aspects related to the design of SPTCs. These four aspects are: (i) for how long, (ii) on which days should SPTCs be carried out, (iii) how many times, and (iv) on which months should SPTCs be carried out? The analyses indicate that the best durations for conducting SPTCs are 3 days (starting with a Thursday) and 7 days, for total traffic and truck traffic, respectively. Further, these counts should be repeated twice a year keeping a separation of two months between the counts to obtain good estimates of AADT at minimal cost. An additional outcome of this study has been the determination of seasonal factor values for roads in developing economies, like India.