Urban Road Traffic Control Method Of Fuel Consumption Based On The Generalized Travel Cost

With the expansion of city and the rapid increase of population and vehicle, fuel consumption will increase. To save fuel consumption, it is feasible to improve the performance of cars and to study the impact of urban road traffic conditions and facilities on the law of fuel consumption. The fuel consumption would be a part of generalized travel costs. When the vehicle technical characteristics, climatic conditions, altitude, fuel quality, driving level are same, on the one hand, to the urban traffic management, the adjustment of intersection signal control method is adjusted to reduce the fuel consumption, on the other hand, to the urban road traffic users, the impact of the route choice on fuel economy is studied.First, this paper analyzes the way of fuel consumption and calculation of fuel consumption particularly. The operation process of the vehicles is analyzed and then studied the fuel consumption of vehicles when are slowing down, idling and accelerating. Based on this, increment model of fuel consumption was established in the signalized intersection and the application of the model was analyzed. The model could be used in signal timing optimization, intersection design and drainage, transport cost analysis.Secondly, this paper studies the interaction between driver and the signal control method to improve fuel consumption. Compared with the traditional IDM model, the established IDMP model plays an active role in improving the fuel consumption. Wireless information transmission network is required for signal control data transmission. Our preliminary results suggest 25% fuel consumption is saved.Then, this paper proposes signal timing method to minimize integrated generalize expense including the time and energy costs in order to find an optimal cycle and green ratio to reduce fuel consumption. The main design parameters of intersection signal timing is the signal cycle and green ratio. In the traditional intersection signal timing method, cycle length depends on the total delay of vehicle, but green ratio distributes on the traffic flow ratio of the phase. The traditional signal timing methods treat large vehicles and other vehicles equally. The fuel consumption of large vehicle is more than fuel consumption of small vehicle. It is unfair for the phase which has many large vehicles. It is not good for the "saving fuel consumption" idea.In addition, the paper also studied the signal optimization method of single intersection not to minimize the time cost but to take the cost of fuel consumption inti consideration. Improved performance index of VISSIM include fuel consumption index in addition to delay and stop. Compared with two indexes, it has the conflict between the environment optimization and the user optimization. If people want to reduce fuel consumption, travel time and delay will inevitably grow little. Therefore, to integrate time costs and the fuel costs should be the principles of traffic control.Finally, based on the residents travel status of the road transport network, the sum of time costs and the fuel is the standard of generalized travel cost. Traffic distribution model is established with a minimum generalized travel cost as a goal. The traditional BPR model is improved based on mix column of motorized vehicle and non-motorized vehicle in China. Finally, in particular transport network the best traffic flow of vehicles was gained with a minimum generalized travel cost as a goal.The results of study could correspond on the environment demand and travel time demand.