上海出租车系统规划方案研究

通过国内外各种出租车运行方式的比较,结合上海的现状,对上海现今的出租车业务流程进行改革,并基于信息系统建立新的运行模式,在提高地区出租车服务水平(提高载客率)和降低出租车总体运营成本两者之间取得平衡.     

城市停车需求预测方法研究

本文以交通量-停车需求模型为基础,考虑了不同区位的小区出行吸引的交通方式构成对停车需求的影响,提出了先根据各小区出行吸引的交通方式构成对小区进行聚类分组,再分组预测未来年出行吸引的交通方式构成,继而预测各小区停车需求量的方法.最后,结合实例进行了分析,证明该方法可以保证预测的精度.     

驻车拉索固定支架断裂的故障改进研究

某车型在盐城试验场进行耐久试验时出现了驻车拉索固定支架断裂的质量问题,故障里程为1 200 km,同时在高寒试验时也出现了同样的故障,文章以该故障为基础,通过对驻车拉索的工作原理以及在整车环境的运行状态进行分析,提出了多种改进方案。经改进件的试制、装车和道路耐久路试等程序,验证改进方案可行,该故障得到了有效解决,未将该隐患输出到市场中,避免了市场车辆可能出现的抱怨,同时对类似故障模式的预防也有很好的设计借鉴意义。     

广西高速公路电子不停车收费ETC系统的应用研究

电子不停车收费技术是一种先进的电子收费技术方式,文章介绍了目前全国电子不停车收费技术的研究及应用情况,并针对广西的实际,提出了具体的研究内容及实施方案,为电子不停车技术在广西的应用提供依据。     

中心城区机动车停车设施规划研究

随着城市,尤其是城市中心城区停车需求的日益增加,停车问题的日益突出,对城市停车设施进行合理规划显得尤为重要。本文对城市中心城区停车特征进行分析归纳,对城市各种停车需求进行分类,在研究结论中针对每种停车需求提出相应的停车设施供应,并尝试给出各类停车设施的合理比例。本次研究成果在宜兴市中心城区停车设施规划中得到应用,并取得良好的效果。     

自动代客泊车技术发展现状及趋势分析

自动代客泊车被认为将是最先大规模商业化落地的L4级自动驾驶系统之一,具有广阔的应用前景,逐渐成为行业研究的重点和热点。重点分析了自动代客泊车的市场需求、政策环境、技术环境、技术演进过程、系统方案,对其发展趋势做出预测,并对未来代客泊车产业发展提出建议。     

Establishing parking generation rates/models of selected land uses for Palestinian cities

Estimating parking demand in Palestine requires more oriented studies towards parking generation to enrich transportation planning, design, and management. Using regional or international models and rates of parking demand may not be appropriate for Palestine. This research is conducted to establish a reference for provision of parking supply for three major types of land uses, which are residential, office, and retail.Seventy-three sites of different land uses were selected through field investigations, interviews, and availability of information for each site. The study covered all main cities in the West Bank, Palestine. Data collection was conducted manually, which contains site characteristics and average of two-day parking counts during three periods (AM, PM, and Peak of the Development).Numerous models and rates were investigated yielding variable statistical accuracies. Most appropriate statistical models/rates were summarized and highlighted for each type of land use, and parking generation models with acceptable statistical significance were recommended, otherwise, parking generation rates were recommended. Simple linear regression, natural logarithmic linear regression, and power were the forms of the recommended models for the studied land uses.This study forms the first step of a future Palestinian “Parking Generation Manual” that should contain various local land use types.     

Turning meter transactions data into occupancy and payment behavioral information for on-street parking

Over 95% of on-street paid parking stalls are managed by parking meters or kiosks. By analyzing meter transactions data, this paper provides a methodology to estimate on-street time-varying parking occupancy and understand payment behavior in an effective and inexpensive way. We propose a probabilistic payment model to simulate individual payment and parking behavior for each parker. Aggregating the payment/parking of all transactions leads to time-varying occupancy estimation. Two data sets are used to evaluate the methodology, parking spaces near Carnegie Mellon University (CMU) campus, and near the Civic Center in San Francisco. The proposed model generally provides reliable estimations of occupancies at a low error rate and substantially outperforms other naive models in the literature. From the results of the experiments we find that people generally tend to slightly underpay in CMU area, whereas for Civic Center area, payment behavior varies by time of day and day of week. For Fridays, people generally tend to overpay and stay longer in the mornings, compared to underpaying and parking for shorter durations in the late afternoons. Parkers’ payment behavior, in general, is more variable and noisier around Civic Center than around CMU. Moreover, we explore the effective granularity, defined as the highest spatial resolution for this model to perform reliably. For CMU areas, the effective granularity is around 10–20 spaces for each block of streets, while it is 150–200 spaces for the Civic Center area due to more random parking behavior.     

Dynamic pricing and reservation for intelligent urban parking management

Despite rapid advances of information technologies for intelligent parking systems, it remains a challenge to optimally manage limited parking resources in busy urban neighborhoods. In this paper, we use dynamic location-dependent parking pricing and reservation to improve system-wide performance of an intelligent parking system. With this system, the parking agency is able to decide the spatial and temporal distribution of parking prices to achieve a variety of objectives, while drivers with different origins and destinations compete for limited parking spaces via online reservation. We develop a multi-period non-cooperative bi-level model to capture the complex interactions among the parking agency and multiple drivers, as well as a non-myopic approximate dynamic programming (ADP) approach to solve the model. It is shown with numerical examples that the ADP-based pricing policy consistently outperforms alternative policies in achieving greater performance of the parking system, and shows reliability in handling the spatial and temporal variations in parking demand.     

别克荣御轿车双驻车辅助系统

主要阐述双驻车辅助系统(DPA)的结构及工作原理,对其电路工作情况进行了分析,介绍了该系统进行故障自诊断的方法及步骤。