As an important element of the airport ecosystem,airport billboards are playing a crucial role in publicizing the city image and facilitating humanistic airport construction.At the same time,airport billboards have gr...As an important element of the airport ecosystem,airport billboards are playing a crucial role in publicizing the city image and facilitating humanistic airport construction.At the same time,airport billboards have great commercial value and is a popular channel for enterprises to prompt their products and to build their brand image.Currently,most airports in China adopt a simple fixed pricing mechanism for airport billboards.Specifically,for any type of billboard,the advertising price is mainly determined by considering historical prices and the total passenger flow of the entire airport during a whole year.However,this seemingly crude pricing mechanism only considers macro-level data of passenger flow and fails in reflecting the real value of billboards in different locations effectively,since the value of a particular billboard depends not only on its media form,but also on the number of passengers flowing through and whether these passengers are the target customers of the advertising content.Based on big data on airport layout,flight information,and passenger attributes,this paper proposes a time-and location-based value assessment model for airport billboards.Using sample data collected from the Beijing Capital International Airport,the assessment model is adopted to evaluate the value of two real billboards in Terminal T3.Application of this model can reflect the difference in the value of airport billboards located in different spots during various periods.Furthermore,this model provides a solid foundation for airport executives to develop differentiated/dynamic pricing and flexible advertisement scheduling strategies,thereby improving the overall efficiency.展开更多
Beijing is festooned with gigantic billboards extolling the virtues of luxurious accommodation and leaving no doubt that a prestigious address is a symbol
Limited research has explored roadside advertisements’ effects on road user behavior in Middle Eastern countries. This study aims to understand distraction perceptions, including advertisements, their impact on behav...Limited research has explored roadside advertisements’ effects on road user behavior in Middle Eastern countries. This study aims to understand distraction perceptions, including advertisements, their impact on behavior, and potential influences from advertisement type, in-vehicle distraction, and country factors (reflecting culture and environment). A standardized questionnaire was administered in Jordan and Kuwait, complemented by observations across three segment types: roadside advertisements, commercial signs, and road signs as control segments. Descriptive and inferential statistics were used. Results indicated a significant disparity in distraction perception between the two groups. Advertisement presence influenced Kuwaiti but not Jordanian behavior. Behavior varied by advertisement type in Jordan, not Kuwait, and in-vehicle distraction did not impact driver behavior. The study suggests explicitly revising advertising policies with a traffic safety focus. Overall, the study contributes insights into road user perceptions and behaviors, highlighting the complex interplay of distractions and advertising on road safety. Further research is required to validate these findings and shape road safety regulations.展开更多
为实现大规模角色运动场景的高真实感快速仿真,提出了一种基于动态纹理的可视化方法.使用基于关节点旋转角的动作迁移方法,获取角色的运动动作;使用基于曲线式骨骼的变形方法,实现运动角色变形;将角色运动过程,通过渲染到纹理技术,生成...为实现大规模角色运动场景的高真实感快速仿真,提出了一种基于动态纹理的可视化方法.使用基于关节点旋转角的动作迁移方法,获取角色的运动动作;使用基于曲线式骨骼的变形方法,实现运动角色变形;将角色运动过程,通过渲染到纹理技术,生成内容可以实时更新的动态纹理;将角色的动态纹理应用到Billboard上,替代运动角色,实现快速绘制;使用GPGPU(General Purpose on GPU)技术加速角色变形和绘制,进一步提高仿真速度.对于包含1万个角色的大规模场景,可以实现30 FPS的实时渲染,实验结果表明该可视化方法能够快速仿真大规模角色的运动场景.展开更多
Out-door billboard advertising plays an important role in attracting potential customers.However,whether a customer can be attracted is influenced by many factors,such as the probability that he/she sees the billboard...Out-door billboard advertising plays an important role in attracting potential customers.However,whether a customer can be attracted is influenced by many factors,such as the probability that he/she sees the billboard,the degree of his/her interest,and the detour distance for buying the product.Taking the above factors into account,we propose advertising strategies for selecting an effective set of billboards under the advertising budget to maximize commercial profit.By using the data collected by Mobile Crowdsensing(MCS),we extract potential customers’implicit information,such as their trajectories and preferences.We then study the billboard selection problem under two situations,where the advertiser may have only one or multiple products.When only one kind of product needs advertising,the billboard selection problem is formulated as the probabilistic set coverage problem.We propose two heuristic advertising strategies to greedily select advertising billboards,which achieves the expected maximum commercial profit with the lowest cost.When the advertiser has multiple products,we formulate the problem as searching for an optimal solution and adopt the simulated annealing algorithm to search for global optimum instead of local optimum.Extensive experiments based on three real-world data sets verify that our proposed advertising strategies can achieve the superior commercial profit compared with the state-of-the-art strategies.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.72125002.
文摘As an important element of the airport ecosystem,airport billboards are playing a crucial role in publicizing the city image and facilitating humanistic airport construction.At the same time,airport billboards have great commercial value and is a popular channel for enterprises to prompt their products and to build their brand image.Currently,most airports in China adopt a simple fixed pricing mechanism for airport billboards.Specifically,for any type of billboard,the advertising price is mainly determined by considering historical prices and the total passenger flow of the entire airport during a whole year.However,this seemingly crude pricing mechanism only considers macro-level data of passenger flow and fails in reflecting the real value of billboards in different locations effectively,since the value of a particular billboard depends not only on its media form,but also on the number of passengers flowing through and whether these passengers are the target customers of the advertising content.Based on big data on airport layout,flight information,and passenger attributes,this paper proposes a time-and location-based value assessment model for airport billboards.Using sample data collected from the Beijing Capital International Airport,the assessment model is adopted to evaluate the value of two real billboards in Terminal T3.Application of this model can reflect the difference in the value of airport billboards located in different spots during various periods.Furthermore,this model provides a solid foundation for airport executives to develop differentiated/dynamic pricing and flexible advertisement scheduling strategies,thereby improving the overall efficiency.
文摘Beijing is festooned with gigantic billboards extolling the virtues of luxurious accommodation and leaving no doubt that a prestigious address is a symbol
文摘Limited research has explored roadside advertisements’ effects on road user behavior in Middle Eastern countries. This study aims to understand distraction perceptions, including advertisements, their impact on behavior, and potential influences from advertisement type, in-vehicle distraction, and country factors (reflecting culture and environment). A standardized questionnaire was administered in Jordan and Kuwait, complemented by observations across three segment types: roadside advertisements, commercial signs, and road signs as control segments. Descriptive and inferential statistics were used. Results indicated a significant disparity in distraction perception between the two groups. Advertisement presence influenced Kuwaiti but not Jordanian behavior. Behavior varied by advertisement type in Jordan, not Kuwait, and in-vehicle distraction did not impact driver behavior. The study suggests explicitly revising advertising policies with a traffic safety focus. Overall, the study contributes insights into road user perceptions and behaviors, highlighting the complex interplay of distractions and advertising on road safety. Further research is required to validate these findings and shape road safety regulations.
文摘为实现大规模角色运动场景的高真实感快速仿真,提出了一种基于动态纹理的可视化方法.使用基于关节点旋转角的动作迁移方法,获取角色的运动动作;使用基于曲线式骨骼的变形方法,实现运动角色变形;将角色运动过程,通过渲染到纹理技术,生成内容可以实时更新的动态纹理;将角色的动态纹理应用到Billboard上,替代运动角色,实现快速绘制;使用GPGPU(General Purpose on GPU)技术加速角色变形和绘制,进一步提高仿真速度.对于包含1万个角色的大规模场景,可以实现30 FPS的实时渲染,实验结果表明该可视化方法能够快速仿真大规模角色的运动场景.
基金This work is supported by Jilin Science and Technology Department Key Technology Project(20190304127YY)the National Natural Science Foundations of China(1772230,61972450 and 62072209)+4 种基金Natural Science Foundations of Jilin Province(20190201022JC)National Science Key Lab Fund Project(61421010418),Innovation Capacity Building Project of Jilin Province Development and Reform Commission(2020C017-2)Changchun Science and Technology Development Project(18DY005)Key Laboratory of Defense Science and Technology Foundations(61421010418)Jilin Province Young Talents Lifting Projec(3D4196993421).
文摘Out-door billboard advertising plays an important role in attracting potential customers.However,whether a customer can be attracted is influenced by many factors,such as the probability that he/she sees the billboard,the degree of his/her interest,and the detour distance for buying the product.Taking the above factors into account,we propose advertising strategies for selecting an effective set of billboards under the advertising budget to maximize commercial profit.By using the data collected by Mobile Crowdsensing(MCS),we extract potential customers’implicit information,such as their trajectories and preferences.We then study the billboard selection problem under two situations,where the advertiser may have only one or multiple products.When only one kind of product needs advertising,the billboard selection problem is formulated as the probabilistic set coverage problem.We propose two heuristic advertising strategies to greedily select advertising billboards,which achieves the expected maximum commercial profit with the lowest cost.When the advertiser has multiple products,we formulate the problem as searching for an optimal solution and adopt the simulated annealing algorithm to search for global optimum instead of local optimum.Extensive experiments based on three real-world data sets verify that our proposed advertising strategies can achieve the superior commercial profit compared with the state-of-the-art strategies.