基于抖音平台开展汽车营销课程改革与探索

2020年,在新冠疫情全球持续蔓延的背景下,面对汽车销量近年的持续下滑,汽车厂家和经销商都积极地在互联网与新媒体上进行各种汽车营销活动。为了使职业院校汽车营销专业的课程内容与企业需求更为贴合,文章以抖音短视频平台中的汽车营销模式为例,探索汽车营销的课程改革,为职业院校汽车营销专业的师生提供借鉴。     

汽车ACC毫米波雷达和视觉传感器目标级融合方法研究

自适应巡航控制系统是实现未来智能化汽车辅助驾驶的重要功能之一,以往该系统主要采用毫米波雷达感知周围环境,但是容易出现较多的误识别和漏识别情况。针对现存的问题,文章研究了自适应巡航感知系统,不同于以往单一雷达的方案,本设计采用毫米波雷达和视觉传感器融合的办法改善感知系统的性能。通过搭建电动车传感器数据采集系统,编写CAN通信报文解析程序,分析毫米波雷达和视觉传感器特性等,完成了对雷达和视觉信号的采集及处理,实现了感知系统目标级融合。并在巡航和跟车工况下进行离线仿真,验证了目标级融合方案能够有效地提高感知系统的准确性和合理性。     

电辅助驱动技术研究

文章提供一种第二轴采用传统驱动桥作为主驱动、第三轴采用电驱动桥作为辅助驱动的驱动力复合并联混合动力三轴车型方案,结合提升轴空气悬架控制技术,该方案在运营经济性方面比传统双后轴驱动车型更优。     

石太铁路山区段涵洞水害成因分析及防治

山区铁路涵洞每年雨季易发生水害,影响铁路正常运营.为了查明山区铁路涵洞发生水害的原因,提高山区铁路抵御水害的能力,依托石家庄至太原铁路某涵洞水害实际治理工程,对特大洪水造成涵洞闷孔水害的成因进行分析,在调查该地区气象、水文、地质资料的基础上,按照"原状复旧、适当提升、完善排水系统、提升抗洪能力"的原则,经过桥涵水文检算...     

城市基础设施公私合作模式所有权归属的模型分析

基础设施公私合作(PPP)模式中项目的所有权归属问题一直是PPP模式实施的难点.所有权的归属影响了基础设施PPP模式的推进.通过模型分析认为,若基础设施资产所有权的激励效应大于风险成本,所有权归民营企业最优;若资产所有权的激励效应小于风险成本,所有权归国有最优.     

南京地铁列车车轮踏面非正常磨耗初析

研究了南京地铁列车车轮踏面非正常沟状磨耗的成因.对车轮、钢轨的外形、材质和硬度等进行了测试,分析了轮轨接触和制动磨损的影响,提出了沟状磨耗的原因.测试结果分析表明,该地铁车辆拖车轮踏面上的凹槽磨耗主要是由于在制动施加频度过高、轮轨接触又不均匀的内因作用下产生的.     

基于模型预测控制的智能车轨迹跟踪控制研究

为了完成智能车的轨迹跟踪,提出一种基于模型预测控制的轨迹跟踪方法,利用将运动学模型这个非线性系统线性化的方案,来获得必须的线性时变系统,采取模型预测控制的三要素来设计控制器。并且基于MPC在控制过程中能增加多种约束的优点,建立基于车辆运动学模型的约束做轨迹跟踪仿真实验,最后,基于山东理工大学智能车平台上GPS提供的定位信息,在校园中采集路线并对前提规划好的的轨迹进行实车验证。实验结果表明:基于MPC算法所设计的控制器能快速且稳定地跟踪期望轨迹。     

Second best toll and capacity optimisation in networks: solution algorithm and policy implications

This paper looks at the first and second best jointly optimal toll and road capacity investment problems from both policy and technical oriented perspectives. On the technical side, the paper investigates the applicability of the constraint cutting algorithm for solving the second best problem under elastic demand which is formulated as a bilevel programming problem. The approach is shown to perform well despite several problems encountered by our previous work in Shepherd and Sumalee (Netw. Spat. Econ., 4(2): 161–179, 2004). The paper then applies the algorithm to a small sized network to investigate the policy implications of the first and second best cases. This policy analysis demonstrates that the joint first best structure is to invest in the most direct routes while reducing capacities elsewhere. Whilst unrealistic this acts as a useful benchmark. The results also show that certain second best policies can achieve a high proportion of the first best benefits while in general generating a revenue surplus. We also show that unless costs of capacity are known to be low then second best tolls will be affected and so should be analysed in conjunction with investments in the network.

Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and archive large amounts of data on the traffic system. These data can be used to estimate current conditions and predict future conditions on the roadway network. A general solution methodology for identifying the optimal aggregation interval sizes for four scenarios is proposed in this article: (1) link travel time estimation, (2) corridor/route travel time estimation, (3) link travel time forecasting, and (4) corridor/route travel time forecasting. The methodology explicitly considers traffic dynamics and frequency of observations. A formulation based on mean square error (MSE) is developed for each of the scenarios and interpreted from a traffic flow perspective. The methodology for estimating the optimal aggregation size is based on (1) the tradeoff between the estimated mean square error of prediction and the variance of the predictor, (2) the differences between estimation and forecasting, and (3) the direct consideration of the correlation between link travel time for corridor/route estimation and forecasting. The proposed methods are demonstrated using travel time data from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system of the Houston Transtar system. It was found that the optimal aggregation size is a function of the application and traffic condition.

Regulation of the informal transport sector in Rio de Janeiro,Brazil: welfare impacts and policy analysis

In Brazil, the explosion of informal transport activity during the past decade has had profound effects on formal public transport systems and is a source of great controversy in the urban transportation sector. A variety of policies have been proposed to manage the growth of the sector. This study seeks to understand how proposed policies will impact the users of these systems. A corridor in Rio de Janeiro with substantial informal activity was used as a case study. Measures of welfare changes in a discrete choice framework were used to estimate proposed policies’ impacts on users. Eleven candidate policies were evaluated, ranging from the eradication of the informal modes and investment in formal modes, to the legalization of the informal modes. Benefits were compared with costs and the distribution of benefits across income classes was explored. Net benefits from some policies were found to be substantial. Legalizing the informal sector was found to benefit users slightly but further investments in the sector are probably inefficient. Users benefited most from improvements in formal mass transit modes, at roughly 100–200 dollars per commuter per year. Finally, policies to foster a competitive environment for the delivery of both informal and formal services were shown to benefit users about 100 dollars per commuter per year. Together, the regulation of the informal sector and investments in the formal sector serve to reinforce the movement towards competitive concessions for services and help reduce the impacts of cartelization and costly in-road competition.