提高客车电气系统可靠性的措施

客车质量的好坏离不开电气系统的可靠性。简要介绍如何提高客车电气系统的可靠性。     

非港湾式停靠站对路段通行能力的影响研究

分析了路段上非港湾公交车站对路段通行能力有影响的6个因素,在实地调查的基础上,运用VISSIM进行试验仿真,得到大量数据,定量分析了各影响因素对路段通行能力的影响。建立神经网络模型对仿真数据进行分析,得到一组权值和偏差矩阵数据,通过该数据以及神经网络模型,可以在不同条件下,得到非港湾停靠站对路段通行能力的影响系数。     

Signal coordination model for local arterial with heavy bus flows

Conventional Transit Signal Priority (TSP) controls often reach the limitation for arterials accommodating heavy bus flows since the priority function can significantly increase delay at minor streets. Under such conditions, a proper signal progression plan that accounts for the benefits of buses may offer the potential to improve the reliability of bus operations and increase the bus ridership. This study proposes a bus-based progression model to reduce the delay of buses on local arterials. Given the cycle length and green splits at each intersection, the bus-based progression model, grounded on the same notion as conventional signal progression methods, considers the operational characteristics of transit vehicles, such as the impact of bus dwell time and the capacity constraints at bus stops. Also, to deal with the stochastic nature of dwell time, this study introduces additional constraints to maximize the percentage of buses which can stay within the green band after leaving bus stops. Taking an arterial with five intersections and three two-way bus stops as an example, this study applies VISSIM as an unbiased tool for model evaluation. The simulation results demonstrate that the proposed model can significantly reduce bus passenger delays and the average person delays for the entire arterial, compared with the conventional progression models.     

A stochastic analysis of highway capacity: Empirical evidence and implications

This paper presents a stochastic characterization of highway capacity and explores its implications on ramp metering control at the corridor level. The stochastic variation of highway capacity is captured through a Space–Time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0, 0, 2₃) × (0, 1, 0)₂, which indicates that the capacities of adjacent locations are spatially–temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this paper is to study (1) how to take advantage of the extra information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean–standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model algorithm is introduced. The numerical experiment suggests that considering capacity variation information would alleviate the spillback effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using capacity variation information, and thus enhances the necessity of implementing stochastic capacity in traffic operation.     

我国客车产业的管理及技术进步

在回顾我国客车发展历程的基础上,阐述国家汽车产业管理政策及客车产品技术进步的一些认识,提出进一步强化强制性标准、提高客车安全性、重视动态试验研究的建议。     

铝制后舱门粘接制作工艺

主要介绍ZGT6102DHG大型城市客车铝制后舱门的粘接制作工艺。     

电容式传感器原理及在客车上的应用

介绍了电容式传感器的原理及其在客车上的应用方式,对汽车电子的发展及可靠性提高起到一定推动运用。     

XML6155大型城市客车的设计与开发

介绍了XML6155大型城市客车的开发背景和主要配置,重点阐述了顶盖、空调风道、扶手、座椅及暖风设计,指出了XML6155大型城市客车降噪方案的技术创新点。     

基于实时交通信息的行程时间估算及路径选择分析

路段行程时间的估计和预测是诱导系统的关键技术之一。由于路网参数不断变化,路段行程时间的估计必须满足实时性的要求。以城市交通控制系统的基本设施为基础,根据我国城市交通目前的发展状况,分析了影响路段行程时间的各种因素和路段行程时间的组成。利用设置在路段上的车辆自动检测装置搜集到的实时交通流信息,并结合随机服务系统的相关理论建立了城市道路路段行程时间的动态计算模型,提出了一种具有真实最短路径意义的实时动态最短路径选择的方法。     

车速传感器试验台的系统开发

设计了ABS车速传感器试验台,分析设计结构及其车速传感器所采集的信号调理电路并与微机进行实时的通信,实时监测车速传感器的性能参数,开发了数据采集系统进行数据分析处理。研究表明该系统性能稳定,抗干扰能力强,为车速传感器测试提供了方便。