Factors Influence Hanoians’ Choice of Non-Motorized Transport Mode to Access Bus Stations

Hanoi’s rapid urbanization has led to a surge in private vehicle ownership, particularly motorcycles, amidst inadequate public transportation infrastructure. Despite government efforts, many still prefer motorized transport, citing mobility and safety concerns, exacerbated by insufficient pedestrian infrastructure. This study examines the motivations behind this reliance on motorized vehicles, particularly motorcycles, in Hanoi. Findings reveal safety and convenience as primary factors driving motorized transport use, especially for accessing bus stations. Economic incentives could promote non-motorized travel and public transport adoption. Policy implications highlight the importance of addressing economic factors and improving access infrastructure to manage motorized vehicle reliance and foster sustainable urban mobility in Hanoi.

Combined Effect of Bus Stop and Access on Expressway Capacity

To determinate the combined effect of bus bay stops near access points on the expressway capacity,a new theoretical approach is developed on the basis of gap acceptance theory and queuing theory. According to the location between the bus stop and the access upstream or downstream,the capacity models on the expressway are developed for four cases. The results show that there are no significant differences in the capacity among four cases when the bus arrival rate is less than 60 veh / h and the car volume at the entrance and exit is less than 200 pcu / h. As the bus arrival rate and the car volume at the entrance and exit increase,the bus stops at downstream of an entrance and upstream of an exit have remarkable effect on the capacity. The increasing of berth number of the bus stop has a positive effect on the capacities of four cases.

Mixed traffic flow modeling near Chinese bus stops and its applications

To determine how bus stop design influences mixed traffic operation near Chinese bus stops,a new theoretical method was developed by using additive-conflict-flows procedure.The procedure was extended from homogeneous traffic flow to mixed traffic flow.Based on the procedure and queuing theory,car capacity and speed models were proposed for three types of bus stops including curbside,bus bay and bicycle detour.The effects of various combinations of bus stop type,traffic volume,bus dwell time,and berth number on traffic operations were investigated.The results indicate that traffic volume,bus dwell time and berth number have negative effects on traffic operations for any type of bus stops.For different types of bus stops,at car volumes above approximately 200 vehicles per hour,the bus bay and bicycle detour designs provide more benefits than the curbside design.As traffic volume increases,the benefit firstly increases in uncongested conditions and then decreases in congested conditions.It reaches the maximum at car volumes nearly 1 100 vehicles per hour.The results can be used to aid in the selection of a preferred bus stop design for a given traffic volume in developing countries.

A New Macro Model for Traffic Flow on a Highway with Bus Stop

Based on the difference between the online bus stop and the offline bus stop, two macro models are developed to describe the two types of bus stops. The numerical results show that the two models can qualitatively reproduce some complex phenomena resulted by the two types of bus stops and that the otttine bus stop is more effective than the online bus stop when the initial density is relatively low.

Influence of bus stop with left-turn lines between two adjacent signalized intersections

Based on the symmetric two-lane Nagel–Schreckenberg（STNS） model, a three-lane cellular automaton model between two intersections containing a bus stop with left-turning buses is established in which model the occurrences of vehicle accidents are taken into account. The characteristics of traffic flows with different ratios of left-turn lines are discussed via the simulation experiments. The results indicate that the left-turn lines have more negative effects on capacity,accident rate as well as delay if the stop is located close to the intersections, where the negative effect in a near-side stop is more severe than that in a far-side one. The range of appropriate position for a bus stop without the bottleneck effect becomes more and more narrow with the increase of the ratio of left-turn bus lines. When the inflow is small, a short signal cycle and a reasonable offset are beneficial. When the inflow reaches or exceeds the capacity, a longer signal cycle is helpful. But if the stop position is inappropriate, the increase of cycle fails in reducing the negative effect of left-turning buses and the effectiveness of offset is weakened.

Suburban travel mode choice considering transit accessibility of stops in public transport

To analyze the influence of the transit accessibility of stops on the travel mode choices of suburban residents,the number of the lines passing by the stops within an accessible range of the resident origin and destination(OD)points and the average waiting time are used as the indexes of the transit accessibility of stops.Due to the correlation between travel time and accessible range,the transit accessibility of stops is contrasted as piecewise variables constrained by travel time.Taking the Jimei District of Xiamen,China,as an example,a binary logistic regression model of the suburban travel mode choice is constructed.The results show that it is necessary to construct transit accessibility of stops as piecewise variables.With a higher transit accessibility of stops,more residents will choose public transport.The choice of the travel mode is correlated with family attributes and personal characteristics.Morning and evening peak hours and travel distance have little effect on the choice of travel mode.Compared with the travel in urban areas,residents often chose public transport for travel within the suburbs.This research provides a basis for encouraging public transportation priority policies and decision making for transport planners in the suburbs.

Combined bottleneck effect of on-ramp and bus stop in a cellular automaton model

The combined bottleneck effect is investigated by modeling traffic systems with an on-ramp and a nearby bus stop in a two-lane cellular automaton model. Two cases, i.e. the bus stop locates in the downstream section of the on-ramp and the bus stop locates in the upstream section of the on-ramp, are considered separately. The upstream flux and downstream flux of the main road, as well as the on-ramp flux are analysed in detail, with respect to the entering probabilities and the distance between the on-ramp and the bus stop. It is found that the combination of the two bottlenecks causes the capacity to drop off, because the vehicles entering the main road from the on-ramp would interweave with the stopping （pulling-out） buses in the downstream （upstream） case. The traffic conflict in the former case is much heavier than that in the latter, causing the downstream main road to be utilized inefficiently. This suggests that the bus stop should be set in the upstream section of the on-ramp to enhance the capacity. The fluxes both on the main road and on the on-ramp vary with the distance between the two bottlenecks in both cases. However, the effects of distance disappear gradually at large distances. These findings might give some guidance to traffic optimization and management.

Optimization for Bus Stop Design Based on Cellular Automaton Traffic Model

Bus is a main component of public transportation,and then the design of bus stop position,size and form should improve efficiency of public transportation.The optimization of bus stop is studied in this paper.According to the observation and analysis of realistic traffic,a micro-cellular automaton mixed traffic flow model with bus stop is established.And then a new evaluation index for the bus stop design is introduced.Finally,an optimized bus stop scheme is obtained by simulation.This research is studied for providing a theoretical basis for the construction of bus stop.

基于智能边缘物联终端构建水利新型感知体系

算据是构建数字孪生的基础,获取更透彻的感知数据对数字孪生建设尤为重要。传统水利感知存在数据共享难、运行成本高、运行维护困难和智能化程度低等问题。基于智能边缘物联终端,实现多设备一站式接入、多协议多标准全兼容、App极简开发和部署、多样化高可靠通信保障和AI智能分析,解决目前遥测终端功能单一、接收平台过多、采控不统一的问题,可有效降低整体运行维护成本,提升工作效能。基于智能物联终端构建新型水利感知体系,使水利感知更加便捷、透彻和智能,进而为数字孪生提供更全面的数据支撑。

Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario

This paper aims to answer how to use traffic information to design energy management strategies for fuel cell buses in a networked environment.For the buses entering the bus stops scenario,this paper proposes a hierarchical energy management strategy for fuel cell buses,which considers the traffic information near the bus stops.In the upper-level trajectory planning stage,the optimal SOC trajectory under various historical traffic conditions is solved through dynamic planning.The traffic information and the best SOC trajectory are mapped through BiLSTM,which can achieve fast,real-time long-term SOC reference.In the lower-level real-time predictive energy management strategy,the optimal SOC is used as the state reference to guide the predictive energy management of fuel cell buses when entering the bus stops.Simulation results show that compared with the strategy without SOC trajectory reference,the life cost of the proposed strategy is reduced by 13.8%,and the total cost is reduced by 3.61%.The SOC of the proposed strategy is closer to the DP optimal solution.

基于公交车站的可达性度量模型

基于机会模型、潜能模型和Allen网络可达性模型,客观评价公交车站所在节点乘客以公交系统为载体的空间可达性,提出可达性是可达数量和可达质量的复合,可达质量包括可达质量系数与可达性贡献率.分析影响可达质量的主要因素,构建公交车站可达性度量模型.研究结果表明,公交线路的数量、发车频率对所停靠公交车站的可达性影响显著,不同公交车站的可达性存在明显差异.

基于公交可达性的公交站距优化方法

提出了在公交运营成本、乘客舒适度等众多约束下提高公交可达性的公交站距优化方法.对公交可达性给出了新的度量方法,该方法分别以公交运营速度和公交客流量衡量空间可达性和时间可达性.利用公交站点覆盖面影响系数和潜在公交客流量,研究公交站距对公交客流量的影响;通过分析公交运营速度与公交站点停留时间、公交车加减速次数等因素的内在关系,研究公交站距对公交运营速度的影响.以秦皇岛公交线路为实例,结果显示提高公交可达性的有效途径是使用不大于5min的低发车间隔,无论公交客流量大小,最优公交站距都可以保持在600m以下;而对高发车间隔,公交站距在900-1 400m才能获得较高的可达性,而相比低发车间隔,公交可达性显著下降.

上海交大图书馆资源发现与获取平台建设

高校图书馆的学术资源系统受到Google Scholar等网络平台的冲击,力求建设以用户需求的学术资源系统。上海交大图书馆在Primo平台架构上建设了一站式学术资源发现与获取平台,文章从资源内容、栏目配置、系统整合、资源混搭和个性化服务方面详细阐述了系统平台的建设实施,并分析了存在的问题和未来的发展趋势。

基于GIS可达性模型的公交出行预测

以基于距离衰减理论的可达性模型为基础,运用GIS栅格数据分析方法,探讨了公交出行预测的新方法。主要过程包括社会经济活动的空间分解、可达性模型参数确定及其度量。以武汉市作为实例进行了公交出行需求的分布预测研究,并基于实际调查对结果进行了验证。结果表明,基于GIS的可达性模型对公交出行发生预测具有宏观意义,但在微观层面存在一定的变化。可达性模型不能反映公交站点的换乘情况,而实地观测数据也不能将换乘量剥离,导致一些站点的预测精度偏低。更为重要的是,城市社会经济活动的密度分布也会带来公交出行规律的变化,需要针对不同的区域分别校核模型参数。

基于均衡性和可达性的高速铁路列车停站方案优化

为了兼顾高速铁路的速度优势和旅客出行的方便,从列车停站数量的均衡性和区间的可达性出发,建立高速铁路列车停站方案的非线性多目标优化模型。结合模型的特点,设计了具有自适应性的遗传退火算法。自适应遗传算法控制全局的寻优方向,模拟退火的Metropolis邻域搜索策略提高算法的邻域搜索能力,可以快速搜索高质量的解。最后用2015年京沪高速铁路数据进行验证,并用得到的停站方案与原停站方案进行对比。结果表明,优化方案中开行列车的停站数量更加集中,停9站和停10站列车占开行列车总数的71.8%,显著提高了停站方案的均衡性,可达性提高约2.32%。

OAIster——开放存取数字资源的一站式检索平台

OAIster是开放存取数字资源的一站式检索平台。本文首先简单概述OAIster的研究背景,在此基础上针对系统设计、资源管理和检索功能等进行细致分析。最后就OAIster已经取得的成果和存在的局限性问题进行探讨。

基于GIS的城市公共汽车站可达性研究

公共汽车站可达性可衡量公共交通设施的便利程度。从居民出行点与公共汽车站的最短距离、出行者的出行阈值以及车站的平均服务范围三个方面出发,构建车站空间可达性度量模型,对出行者到达公共汽车站的难易程度进行度量。考虑途经车站的线路配车数量、高峰与平峰运营速度等因素,建立车站网络可达性度量模型,对出行者通过某个车站到达区域其他地方的机会大小进行度量。将车站空间可达性与车站网络可达性相结合,建立潜点网络可达性度量模型,对空间中各出行潜点到达其他区域的难易程度进行度量。选取哈尔滨市二环快速路范围内区域为研究对象,通过GIS手段对公共汽车站可达性进行建模与运算。结果表明,公共汽车站可达性空间分布不均衡,公共汽车出行分担率与公共汽车站可达性具有相关性。

基于最优停止的认知无线网络下行频谱接入算法

为有效平衡认知无线网络中次用户系统中接入信道的感知时间和信道总的吞吐量之间的矛盾，提出了一种只对部分信道进行感知的频谱接入策略，联合总的感知信道数和各条信道的感知时间进行优化，并通过最优停止算法求解，在最大化节省感知时间的同时，取得较大的平均吞吐量。与HC-MAC（ Hardware Constrained- Media Access Control）算法的仿真分析对比表明，该算法在相同给定条件下感知时间更短，吞吐量更大，具有明显的优势。

最优停止理论在电子供应链伙伴关系评价中的应用

本文针对电子供应链伙伴的选择与评价过程,根据最优停止理论,建立了电子供应链伙伴的数据信息校对最优问题的数学模型,对这一决策问题进行了概括。在此基础上,针对两种具体模型,提出了最优停止时间存在的条件及最优解,并利用截尾法给出了实际应用中的计算步骤。

县级市中小学周边道路交通特征分析与对策研究

在县级市中小学周边道路交通现状分析的基础上,结合典型案例将中小学分为位于国省道、城区环路和城区中心道路三种类型。通过对以上三类中小学周边道路交通特征的系统分析,提出了综合考虑过街设施、公交站台、减速设施设置等改进方案。文中所给出的县级市中小学校周边道路交通问题的解决方案和设计理念,为相似中小学周边道路交通的设施和安全设计提供范例。