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It is estimated that the connected vehicle program could prevent 592,000 crashes from occurring, and save 1,083 lives .Further, twenty-eight percent of nation’s greenhouse gas emissions could be reduced from the transportation sector .The existing studies are focused on the separate development of ecological transportation (eco-driving, eco-signal, or eco-routing) algorithms.
Researchers proposed an eco-routing model to approximate the impacts of major acceleration events associated lane changes and intersection idling.
Results show that vehicle specification, especially weight and engine displacement, may affect the fuel consumption from eco-routing.
Providing advices on eco-driving pattern can contribute to fuel consumption reduction by 20-25%.
The eco-signal application can eliminate hard accelerations and deceleration maneuvers, resulting in reductions of 9% energy consumption, 18% carbon monoxide and 25% nitrogen oxides emissions .
The multidisciplinary knowledge to develop the algorithms, models, and tools for the eco-transportation system could include transportation engineering, environmental science and engineering, mathematics, computer science and engineering, and electronics engineering.
Techniques to support these models and algorithms would take account of transportation theories, environmental science, Operations Research (OR), computational algorithms, probability analysis, statistics, KDD (or data mining), machine learning and digital signal processing.Received date: April 24, 2017; Accepted date: April 27, 2017; Published date: April 30, 2017 Citation: Qiao F, Li Q, Yu L (2017) Status and Research Topics in Developing Ecological Transportation System within Connected Vehicle Age with Knowledge Discovery in Database Techniques. Visit for more related articles at Environment Pollution and Climate Change Traditional transportation studies normally focus on the development of countermeasures for the improvement of safety and mobility of transportation systems. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.It is reported that eco-driving techniques are able to improve fuel consumption efficiency with up to 30% , by providing drivers with a variety of advice and feedback on eco-driving style on board as well as through public education.The advice and feedback include vehicle maintenance, operational decision, such as driving speed, and the use of cruise control, and tactical decisions, such as the route selection and the selection of the road type .With the newly identified evidences and increased public concerns, the impacts of transportation activities on environment and ecologic systems attract more and more attentions.This article reviews the current air quality and vehicle emission models and real-time intelligent network control methods in ecological transportation (or called eco-transportation) systems with the efforts in reducing greenhouse gases and exhaust emissions, and improving air quality and public health.The eco-routing is a vehicle navigation strategy and was initially proposed.They developed an eco-routing based navigation system to instruct commuters to optimize their route selection, which were applied to 109 real journeys.More specifically, during an eco-driving practice, an on-board eco-driving system executes a quick analysis and short-term modeling prediction on driving styles and realtime conditions on roads, such as traffic congestion, road grade, and traffic signal.Based on the analysis and prediction results, eco-driving operational decisions are formed and delivered to drivers to adjust their driving behaviors, in terms of driving speed and navigation .