基于车辆检测与拥堵优化的达卡市智能交通信号控制研究
Towards Intelligent Traffic Signaling in Dhaka City Based on Vehicle Detection and Congestion Optimization
AI总结：
针对达卡非车道化异构交通，本文提出基于 RTSP、Raspberry Pi 4B、YOLO 检测与 NSGA-II 配时优化的智能信号系统，并在五岔路口验证其缓堵增效能力。
摘要：
在孟加拉国达卡等发展中国家的城市化城市中，车辆密度导致大量交通拥堵，造成糟糕的道路出行体验。交通信号控制是此类情形下有效交通管理的关键组成部分，但智能交通信号控制的进展一直为具有结构化交通的发达国家所独享。达卡市不基于车道的异构交通需要一种因地制宜的方法。本研究聚焦于开发在孟加拉国等发展中国家背景下可行的智能交通信号控制系统。我们提出一条流水线，利用实时流协议（RTSP）视频流、低资源系统 Raspberry Pi 4B 处理，以及在 Non-lane-based and Heterogeneous Traffic（NHT-1071）数据集上训练的、基于 YOLO 的最先进目标检测模型，来检测和分类异构交通。随后，多目标优化算法 NSGA-II 生成优化的信号配时，在最小化等待时间的同时最大化车辆吞吐量。我们在达卡 Palashi 的一个五道路交叉口测试了所实现的系统，证明了其显著改善类似情形下交通管理的潜力。所开发的测试平台为在达卡市等具有复杂交通动态的发展中地区构建更具情境适应性且更有效的 Intelligent Traffic Signaling（ITS）解决方案铺平了道路。
英文摘要：
The vehicular density in urbanizing cities of developing countries such as Dhaka, Bangladesh result in a lot of traffic congestion, causing poor on-road experiences. Traffic signaling is a key component in effective traffic management for such situations, but the advancements in intelligent traffic signaling have been exclusive to developed countries with structured traffic. The non-lane-based, heterogeneous traffic of Dhaka City requires a contextual approach. This study focuses on the development of an intelligent traffic signaling system feasible in the context of developing countries such as Bangladesh. We propose a pipeline leveraging Real Time Streaming Protocol (RTSP) feeds, a low resources system Raspberry Pi 4B processing, and a state of the art YOLO-based object detection model trained on the Non-lane-based and Heterogeneous Traffic (NHT-1071) dataset to detect and classify heterogeneous traffic. A multi-objective optimization algorithm, NSGA-II, then generates optimized signal timings, minimizing waiting time while maximizing vehicle throughput. We test our implementation in a five-road intersection at Palashi, Dhaka, demonstrating the potential to significantly improve traffic management in similar situations. The developed testbed paves the way for more contextual and effective Intelligent Traffic Signaling (ITS) solutions for developing areas with complicated traffic dynamics such as Dhaka City.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
