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摘要:
Congestion is a dynamic phenomenon and hence efficiently computing alternate shortest route can only help expedite decongestion. This research is aimed to efficiently compute shortest path for road traffic network so that congestion can be eased resulting in reduced CO2 emission and improved economy. Congestion detection is achieved after evaluating road capacity and road occupancy. Congestion index, a ratio of road occupancy to road capacity is computed, congestion index higher than 0.6 necessitates computation of alternate shortest route. Various algorithms offer shortest alternate route. The paper discusses minimization of graph based by removing redundant nodes which don’t play a role in computation of shortest path. The proposal is based on continuous definition of a bounding box every time a next neighboring node is considered. This reduces maximum number of contentious nodes repeatedly and optimizes the network. The algorithm is deployed from both the ends sequentially to ensure zero error and validate the shortest path discovery. While discovering shortest path, the algorithm also offers an array of shortest path in ascending order of the path length. However, vehicular traffic exhibits network duality viz. static and dynamic network graphs. Shortest route for static distance graph is pre-computed and stored for look-up, alternate shortest path based on assignment of congestion levels to edge weights is triggered by congestion index. The research also supports directed graphs to address traffic rules for lanes having unidirectional and bidirectional traffic.
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篇名 Shortest Alternate Path Discovery through Recursive Bounding Box Pruning
来源期刊 交通科技期刊(英文) 学科 医学
关键词 Bounding Box PRUNING Geometric Containers Shortest ALTERNATE PATH Shortest PATH Vehicular Traffic Vehicular CONGESTION DETECTION SYSTEM Vehicular CONGESTION DETECTION SYSTEM
年,卷(期) 2017,(2) 所属期刊栏目
研究方向 页码范围 167-180
页数 14页 分类号 R73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
Bounding
Box
PRUNING
Geometric
Containers
Shortest
ALTERNATE
PATH
Shortest
PATH
Vehicular
Traffic
Vehicular
CONGESTION
DETECTION
SYSTEM
Vehicular
CONGESTION
DETECTION
SYSTEM
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
交通科技期刊(英文)
季刊
2160-0473
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
254
总下载数(次)
0
总被引数(次)
0
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