多类型信息下的网络交通流演化模型

交通信息发布机构提供描述信息和规范信息给不同的出行者，描述信息接收者依据信息和经验更新路径行程时间认知，根据认知选择路径；规范信息接收者仅根据经验更新认知.规范信息遵从者选择推荐路径，非遵从者依据认知选择路径.两类信息遵从率都取决于信息准确度.依据非线性动力学理论分析了模型性质，研究表明，模型不动点存在但是不一定唯一，不动点状态与信息混合使用情况有关.数值试验结果表明，模型不动点与随机用户均衡点不同，以恰当比例混合使用两类信息可提高交通流稳定性.     

Economic and ecological optimization of electric bus charging considering variable electricity prices and CO2eq intensities

In many cities, diesel buses are being replaced by electric buses with the aim of reducing local emissions and thus improving air quality. The protection of the environment and the health of the population is the highest priority of our society. For the transport companies that operate these buses, not only ecological issues but also economic issues are of great importance. Due to the high purchase costs of electric buses compared to conventional buses, operators are forced to use electric vehicles in a targeted manner in order to ensure amortization over the service life of the vehicles. A compromise between ecology and economy must be found in order to both protect the environment and ensure economical operation of the buses.In this study, we present a new methodology for optimizing the vehicles’ charging time as a function of the parameters CO_2eq emissions and electricity costs. Based on recorded driving profiles in daily bus operation, the energy demands of conventional and electric buses are calculated for the passenger transportation in the city of Aachen in 2017. Different charging scenarios are defined to analyze the influence of the temporal variability of CO_2eq intensity and electricity price on the environmental impact and economy of the bus. For every individual day of a year, charging periods with the lowest and highest costs and emissions are identified and recommendations for daily bus operation are made. To enable both the ecological and economical operation of the bus, the parameters of electricity price and CO₂ are weighted differently, and several charging periods are proposed, taking into account the priorities previously set. A sensitivity analysis is carried out to evaluate the influence of selected parameters and to derive recommendations for improving the ecological and economic balance of the battery-powered electric vehicle.In all scenarios, the optimization of the charging period results in energy cost savings of a maximum of 13.6% compared to charging at a fixed electricity price. The savings potential of CO_2eq emissions is similar, at 14.9%. From an economic point of view, charging between 2 a.m. and 4 a.m. results in the lowest energy costs on average. The CO_2eq intensity is also low in this period, but midday charging leads to the largest savings in CO_2eq emissions. From a life cycle perspective, the electric bus is not economically competitive with the conventional bus. However, from an ecological point of view, the electric bus saves on average 37.5% CO_2eq emissions over its service life compared to the diesel bus. The reduction potential is maximized if the electric vehicle exclusively consumes electricity from solar and wind power.     

Toward using social media to support ridesharing services: challenges and opportunities

Ridesharing has been attracting increasing attention from both academia and industry. One of the challenges posed by the study of ridesharing is to identify the most valuable information for improving the ridesharing decisions taken by participants. Another challenge is to use harvesting techniques to extract specific types of travel-related information. Many methods have been developed by the community in order to solve these issues. However, due to a lack of information sharing between different transit authorities and the difficulty of identifying subjective perceptions of the experience of ridesharing, understanding and evaluating how social media data might support or obstruct goals for mobility, safety and environmental sustainability in ridesharing is a difficult task. In this survey, we first analyze the literature on ridesharing with a focus on the properties and model of service, and introduce a framework to describe the major components required for a ridesharing service. Then, we illustrate the potential value of information extracted from social media and present the rationale for harvesting travel-related data. Finally, we detail some possible directions and different approaches for using social media data, and highlight their assets and drawbacks.     

气象信息在船舶管理中的应用

从船舶航行安全、可靠性角度考虑，一个重要的影响因素是航行船舶所在海域的气象状况，因此气象信息对于船舶调度管理起到非常积极重要的作用。如何获取气象信息，并把获取的气象信息融合到电子海图显示平台中，对于航行船舶的监控和管理显得十分有意义。针对如何获取气象信息及如何与电子海图叠加显示两方面的内容进行了论述。     

面向上海国际航运中心的洋山综合信息服务平台

介绍了洋山深水港面向国际航运中心,建设洋山综合信息服务平台的现实要求和建设基础,并详尽地叙述了洋山综合信息服务平台的主要功能和建设内容,以及洋山综合信息服务平台的积极意义和重要作用。     

舰载信息系统软件安全

软件安全是舰载信息系统设计、开发、使用、维护中需要考虑的重要问题,从舰载信息系统安全体系出发,讨论软件安全威胁和软件安全阶段的划分,提供一些有效的软件安全措施。     

基于VTS的海事信息发布系统

此文论述了建立海事信息发布系统的必要性,并结合海上交通的发展,特别是VTS的使用, 提出了海事信息发布系统的总体结构和实现方式。实际应用表明,该系统能满足海事信息化、政务化和商务化的要求。     

信息系统综合集成技术

综合集成作为我军实现新军事变革的重要方法，越来越受到各方面的广泛重视，首先概要介绍了综合集成的理念和实现的三个层次，着重分析介绍了信息系统综合集成中相关软件技术的发展和应用。     

城市轨道交通企业局域网建设探讨

通过介绍上海地铁运营有限公司车辆分公司计算机网络的组建和企业管理信息系统的开发和应用,阐明了企业计算机网络建设和计算机信息管理系统在地铁车辆管理中的重要性。并对轨道交通企业中建设网络和开发管理信息系统需要重视的几个问题及其解决的方法作了探讨。     

海图信息的压缩与恢复

用形态学方法对海图信息进行压缩和恢复，然后用游程编码对骨架进行编码和解码，达到用最少的空间存储最多的信息。