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Study On Energy Consumption And Control Strategies For Bus Route System

Posted on:2017-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:C W WuFull Text:PDF
GTID:2272330485458011Subject:Transportation engineering
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In recent years, with the rapid development of transportation industry, traffic congestion, energy shortages, environment pollutions are increasingly prominent. Developing mass transit has been the most effective way of sustainable development by far. However, high energy consumption per vehicle, poor punctuality and uneven loading rate still plagued the development of mass transit. Hence, studying the energy consumption and control strategy in bus operation is of great significance, which can reduce energy consumption or emissions, improve the operating efficiency and be beneficial to economic development, as well as environmental conservation. This thesis establishes a cellular automata model of bus energy consumption, analyzing the influences of passengers’ arrival rate and the bus departure frequency on passenger travel cost, bus operation and fuel costs to the cost of pollutant discharge, studying the effect of skip-stop strategy on bus operation, and then selecting an actual bus line to simulate. The main works of this thesis are as follows:(1) Adding the safe distance and acceleration parameters to the current cellular automaton model of bus route to have a better represention of bus routes system. Establishing a bus energy consumption model based on real-time speed and acceleration is a main work.(2) Analyzing the variation tendency of energy consumption costs, bus operation costs and passenger’s travel costs under different passengers’arrival rate and departure time intervals by simulation. The research shows that on the premise of meeting the demand of passengers, selecting the appropriate departure interval can improve the bus loading rate, also can achieve the best efficiency.(3) Studying the effect of skip-stop strategy on bus operation. Genetic algorithm and cellular automata simulation model are integrated considered, and selecting an actual bus line to optimize the skip-stop strategy of three buses, and have a further analysis of influences of bus operation cost under skip-stop strategy under different departure interval and different skip-stop pattern, the strategy is limited to the situation that a bus can only skip one bus station. The research shows that skip-stop strategy can reduce the bus operation cost, reduce the passenger travel cost in the suitable departure intervals cases at the same time. The research proves that appropriate skip-stop strategy has a positive effect on improving the operating efficiency and passengers’ satisfaction.
Keywords/Search Tags:Cellular automaton, Bus energy consumption and emissions, Passenger travel cost, Bus operating cost, Skip-stop strategy, Genetic algorithm
PDF Full Text Request
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