원문정보
초록
영어
Now-a-days the transportation network traffic plays a vital role in the society. People are focusing on arriving at our destination as quickly as possible. With this lifestyle, people are not always aware of all the traffic conditions that are experienced while operating an automobile. In the existing system, reduction of green house gas emissions from transportation network based on road network graphs where all edges are annotated with accurate weight that capture environmental cost, fuel usage are needed for eco-routing. However, such weights are not readily available on the road network. So, randomly assign the weights for each road segments and it typically lack the speed pattern of the road network. This paper address these limitation, proposes two stage routing algorithm and weight propagation model to predict the cost of an arbitrary path on road network and accurately detects the traffic environment and also provides the optimal alternate route for destination.
목차
1. Introduction
1.1. Overview
2. Related Works
2.1. Motivation
2.2. Topology of a Road Network
3. Proposed System
3.1. System Architecture
3.2. Two Stage Routing Algorithm
3.3. Weight Propagation Model
4. Performance Evaluation
4.1. Evaluation on Traffic Prediction
4.2. Evaluation on Routing
4.3. Efficiency
5. Experimental Results
6. Conclusion
References