5.基于热点定价策略来缓解城市拥堵问题(Decongestion of urban areas with hotspot-pricing) 

May 4, 3:07 PM From arxiv.org 

by Albert Solé-Ribalta, Sergio Gómez, Alex Arenas 

(Translated by - HSAH_CHOI) 

''The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion which in turn affects air pollution. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable to ameliorate and control congestion. Here, we propose a local congestion pricing scheme, hotspot-pricing, that surcharges vehicles traversing congested junctions. The proposed tax is computed from the estimation of the evolution of congestion at local level, and the expected response of users to the tax (elasticity). Results on cities' road networks, considering real-traffic data, show that the proposed hotspot-pricing scheme would be more effective than current mechanisms to decongest urban areas, and paves the way towards sustainable congestion in urban areas.''

城市人口的快速增长正危及全球范围内的移动出行和空气质量，由此产生的最显著问题之一是交通拥堵又转而加剧了空气污染。随着对城市数据的实时检测技术的出现，我们可以通过分析这些公开的数据预测可能发生的情景，从而帮助改善和控制拥堵问题。在文章中，我们提出了一种针对局部拥堵的定价方案，热点定价，即对穿越拥堵路口的车辆征收附加费。该附加费是根据用户局部区域的拥堵演化以及其对税务的弹性预期估计出来的。我们结合城市的交通路网以及实际交通数据得到以下结果，我们的热点定价方案相较现有的机制能更好地缓解城市拥堵问题，并给出了一个缓解城市拥堵的可持续调控方向。 

原文链接