Road traffic congestion in the developing world
Road traffic congestion in the developing world
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DOI：
10.1145/2160601.2160616
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发表时间：
2012-03
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影响因子：
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通讯作者：
Vipin Jain;Ashlesh Sharma;L. Subramanian
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文献类型：
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作者：
Vipin Jain;Ashlesh Sharma;L. Subramanian
道路交通拥堵仍然是世界上大多数城市的一个主要问题，特别是在发展中地区，导致大规模延误、燃料浪费增加和金钱损失。由于道路网络规划不善，许多发展中地区的一个共同结果是存在一些小型关键区域，这些区域是常见的拥堵热点；这些热点地区周围的交通管理不善可能会导致长期交通拥堵。在本文中，我们首先提出了一种简单的自动图像处理机制，用于通过处理闭路电视摄像机图像输入来检测道路交通的拥堵程度。我们的算法专为图像质量较差的嘈杂流量而设计。根据肯尼亚和巴西多个交通信号灯的实时闭路电视摄像头反馈，我们显示了多个地点持续很长时间的拥堵崩溃行为的证据。为了部分缓解这个问题，我们提出了一种本地去拥塞协议，该协议可以协调小区域内的交通信号行为，并可以在本地防止拥塞崩溃，从而维持随时间变化的交通突发。基于对简单网络拓扑的模拟分析，我们表明我们的本地缓解拥塞协议可以增强道路容量并防止局部环境中的拥塞崩溃。
Road traffic jams continue to remain a major problem in most cities around the world, especially in developing regions resulting in massive delays, increased fuel wastage and monetary losses. Due to the poorly planned road networks, a common outcome in many developing regions is the presence of small critical areas which are common hot-spots for congestion; poor traffic management around these hotspots potentially results in elongated traffic jams. In this paper, we first present a simple automated image processing mechanism for detecting the congestion levels in road traffic by processing CCTV camera image feeds. Our algorithm is specifically designed for noisy traffic feeds with poor image quality. Based on live CCTV camera feeds from multiple traffic signals in Kenya and Brazil, we show evidence of this congestion collapse behavior lasting long time-periods across multiple locations. To partially alleviate this problem, we present a local de-congestion protocol that coordinates traffic signal behavior within a small area and can locally prevent congestion collapse sustaining time variant traffic bursts. Based on a simulation based analysis on simple network topologies, we show that our local de-congestion protocol can enhance road capacity and prevent congestion collapse in localized settings.