Research On The Method Of Path Optimization In Vehicle Navigation System For Energy Conservation And Emissions Reduction

With the speeding up of urbanization process, the number of motor vehicles isincreasing significantly. This result indicates that the transportation energy consumptionaccounting for the proportion of the total energy consumption society is graduallyincreasing. When the global energy crisis and environmental pollution become visible,how to improve the fuel economy of vehicles on the road and to build the modern city inenergy saving, environmental protection and sustainable development, have become theincreasingly urgent research subject.This paper came from the intelligent transportation technology open projects of keylaboratory in transportation industry——the research of taxi operation index evaluationalgorithm.This paper was based on traffic flow state influencing on urban road fueleconomy. In order to establish fuel economy model of segments and intersectionsrespectively, the author made segments and intersections as the basic research units andthen verified the model using the actual data and simulation data. The path and the ODpair of fuel economy models were established under the condition of considering fueleconomy. The model as a resistance function was embedded in the algorithm——thek-best paths algorithm of dynamic limit search area, Relying on Changchun, GuangzhouCity navigation electronic map to complete the algorithm verification.The vehicle fuel consumption and road traffic flow data observation test wasdesigned from the determination of test methods, the test line, the test vehicle and driver,the setting of test process. The filed observation and VISSIM simulation were used to getthe fuel consumption and traffic flow data of segments and intersections under differenttraffic state and signal control program. From the traffic flow angle, the impact factors ofsegments and intersections fuel economy were analyzed. Saturation on the impact ofsegments fuel economy and saturation, split on the impact of intersections fuel economywere analyzed. On the basis of the analysis, the fuel economy models for road segmentsand intersections were established respectively based on saturation, saturation and split.Then, the models were verified though the field observation data and VISSIM simulation data, providing the traveler navigation path reference...