LED综合节能照明装置在地铁工程中的应用

以深圳地铁2号线工程为例,讨论发光二极管(LED)综合节能照明装置的使用范围、类型参数、技术要求、控制方式,分析异型LED照明装置的布置情况,并对其节能效果进行评估。结果表明,单套LED综合节能装置能接收欧洲安装总线(EIB)控制系统的带有数字可寻址灯光照明接口(DALI)的调光信号,单灯具备可连续调光功能,可使整个车站根据不同模式及运营需求进行整体调光,具有明显的节能优势,且不会降低使用要求。     

上海市公交柴油车碳烟排放的评估与分析

介绍了上海市道路交通以及公交汽车拥有量的发展；按照发动机购置年份、机型以及车队等统计上海市公交柴油车碳烟排放状况；追踪某一车队同一机型连续几年来的百公里油耗以及碳烟排放水平，分析了影响公交柴油车碳烟排放的各种因素；最后从管理方面提出加强I／M制度以降低公交柴油车碳烟排放。     

后置发动机城市公交车冷却系统的定性分析

简要介绍后置发动机城市公交客车冷却系统的布置结构,定性分析影响后置发动机城市公交客车冷却系统散热效果的各种原因,明确提高冷却系统散热效果的途径以及设计中的处理建议、注意事项等。     

基于CCP协议的HEV用ECU标定系统设计

CCP协议是基于CAN总线通信方式的车用ECU标定协议，具有通信可靠、传输速度快、通用性好等优点。在实时内核环境下设计了一套基于CCP协议的标定系统，并使用该系统实现了对混合动力电动汽车(HEV)动力系统中多个ECU同时标定的工作。     

Bus Priority Using pre-signals

The need to provide efficient public transport services in urban areas has led to the implementation of bus priority measures in many congested cities. Much interest has recently centred on priority at signal controlled junctions, including the concept of pre-signals, where traffic signals are installed at or near the end of a with-flow bus lane to provide buses with priority access to the downstream junction. Although a number of pre-signals have now been installed in the U.K., particularly in London, there has been very little published research into their design, operation and optimisation. This paper addresses these points through the development of analytical procedures which allow pre-implementation evaluation of specific categories of pre-signals. The paper initially sets out three categories of pre-signal, which have different operating characteristics, different requirements for signalling and different impacts on capacity and delay. Key issues concerning signalling arrangements for these categories are then discussed, together with a summary of the analytical approach adopted and the assumptions required. Equations are developed to allow appropriate signal timings to be calculated for pre-signalised intersections. Further equations are then developed to enable delays to priority and non-priority traffic, with and without pre-signals, to be estimated with delay being taken here as the key performance criterion. The paper concludes with three application examples illustrating how the equations are applied and the impacts of pre-signals in different situations.The analyses confirm the potential benefits of pre-signals, where these signals apply to non-priority traffic only. Where buses are also subject to a pre-signal, it is shown that disbenefits to buses can often occur, unless bus detectors are used to gain priority signalling.     

非港湾式公交停车对道路交通流的影响分析

公交车进出站点不仅影响本身,也给其他车辆运行带来很大干扰。文章首先比较全面地分析非港湾式公交停车影响下道路交通流特征,然后借助于EXCEL软件,构建关于公交停车频率、公交停车时间、最大公交停车长度及其存在时间、道路流量的车速和车头时距多元线性模型,并进行了严格的数学检验。该研究为合理分析路段交通流状况、正确计算区间行驶车速与车头时距提供了依据。     

激光焊接技术在载货车驾驶室顶盖柔性制造中的应用研究

将激光焊接技术应用在载货车驾驶室试制中的柔性制造，利用进口的三维五轴CO2激光加工机成功地完成了大型三维驾驶室顶盖激光对接焊，试制的顶盖完全达到产品图纸要求。研制了顶盖激光切割、焊接专用夹具，并针对车身常用裸板和镀锌钢板进行了工艺试验。     

Analytical and simulation approaches to understand combined effects of transit signal priority and road-space priority measures

Transit signal priority (TSP) may be combined with road-space priority (RSP) measures to increase its effectiveness. Previous studies have investigated the combination of TSP and RSP measures, such as TSP with dedicated bus lanes (DBLs) and TSP with queue jump lanes (QJLs). However, in these studies, combined effects are usually not compared with separate effects of each measure. In addition, there is no comprehensive study dedicated to understanding combined effects of TSP and RSP measures. It remains unclear whether combining TSP and RSP measures creates an additive effect where the combined effect of TSP and RSP measures is equal to the sum of their separate effects. The existence of such an additive effect would suggest considerable benefits from combining TSP and RSP measures. This paper explores combined effects of TSP and RSP measures, including TSP with DBLs and TSP with QJLs. Analytical results based on time-space diagrams indicate that at an intersection level, the combined effect on bus delay savings is smaller than the additive effect if there is no nearside bus stop and the traffic condition in the base case is under-saturated or near-saturated. With a near-side bus stop, the combined effect on bus delay savings at an intersection level can be better than the additive effect (or over-additive effect), depending on dwell time, distance from the bus stop to the stop line, traffic demand, and cycle length. In addition, analytical results suggest that at an arterial level, the combined effect on bus delay savings can be the over-additive effect with suitable signal offsets. These results are confirmed by a micro-simulation case study. Combined effects on arterial and side-street traffic delays are also discussed.     

Driving cycle prediction model based on bus route features

Bus fuel economy is deeply influenced by the driving cycles, which vary for different route conditions. Buses optimized for a standard driving cycle are not necessarily suitable for actual driving conditions, and, therefore, it is critical to predict the driving cycles based on the route conditions. To conveniently predict representative driving cycles of special bus routes, this paper proposed a prediction model based on bus route features, which supports bus optimization. The relations between 27 inter-station characteristics and bus fuel economy were analyzed. According to the analysis, five inter-station route characteristics were abstracted to represent the bus route features, and four inter-station driving characteristics were abstracted to represent the driving cycle features between bus stations. Inter-station driving characteristic equations were established based on the multiple linear regression, reflecting the linear relationships between the five inter-station route characteristics and the four inter-station driving characteristics. Using kinematic segment classification, a basic driving cycle database was established, including 4704 different transmission matrices. Based on the inter-station driving characteristic equations and the basic driving cycle database, the driving cycle prediction model was developed, generating drive cycles by the iterative Markov chain for the assigned bus lines. The model was finally validated by more than 2 years of acquired data. The experimental results show that the predicted driving cycle is consistent with the historical average velocity profile, and the prediction similarity is 78.69%. The proposed model can be an effective way for the driving cycle prediction of bus routes.     

A systematic analysis of multimodal transport systems with road space distribution and responsive bus service

A smart design of transport systems involves efficient use and allocation of the limited urban road capacity in the multimodal environment. This paper intends to understand the system-wide effect of dividing the road space to the private and public transport modes and how the public transport service provider responds to the space changes. To this end, the bimodal dynamic user equilibrium is formulated for separated road space. The Macroscopic Fundamental Diagram (MFD) model is employed to depict the dynamics of the automobile traffic for its state-dependent feature, its inclusion of hypercongestion, and its advantage of capturing network topology. The delay of a bus trip depends on the running speed which is in turn affected by bus lane capacity and ridership. Within the proposed bimodal framework, the steady-state equilibrium traffic characteristics and the optimal bus fare and service frequency are analytically derived. The counter-intuitive properties of traffic condition, modal split, and behavior of bus operator in the hypercongestion are identified. To understand the interaction between the transport authority (for system benefit maximization) and the bus operator (for its own benefit maximization), we examine how the bus operator responds to space changes and how the system benefit is influenced with the road space allocation. With responsive bus service, the condition, under which expanding bus lane capacity is beneficial to the system as a whole, has been analytically established. Then the model is applied to the dynamic framework where the space allocation changes with varying demand and demand-responsive bus service. We compare the optimal bus services under different economic objectives, evaluate the system performance of the bimodal network, and explore the dynamic space allocation strategy for the sake of social welfare maximization.