Traffic optimization scheduling system and method based on smart city

Abstract

The invention discloses a traffic optimization scheduling system and method based on a smart city. The system comprises a central processing unit, a database, a departure interval time recording module, a bus passenger flow statistics module, a data calling module, a vehicle configuration rationality analysis module, a vehicle configuration optimization module, a bus stop positioning module, and areal-time display terminal. The reasonability of the departure time interval and the difference between the uplink passenger flow volume and the downlink passenger flow volume in the peak period of the bus route are analyzed by calling the departure interval time record and the passenger flow volume statistical record of the bus route, the departure time of the bus route is adjusted and optimizedaccording to the analysis result, and the buses in the uplink route and the downlink route are configured. so the travel requirements of passengers are met to the greatest extent, the punctuality ofbus taking is ensured, and the overall benefit and the service quality of a public transport system are improved.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a smart city-based traffic optimization scheduling system and method. Background technique [0002] With the rapid development of social economy, urban traffic problems are becoming more and more serious, and the status of public transportation is becoming more and more prominent. The optimal dispatch of public transportation has improved the urban traffic situation to a large extent. However, there are still many problems in public transportation: first, Due to the uneven distribution of passenger flow on the up and down routes of the bus, the number of passengers waiting at many stops on the bus route with too much passenger flow is too large, and the waiting time is too long, which will cause passengers to be dissatisfied with the service level of the bus; secondly, the bus Failure to adjust the departure time interval during the peak period will aggravate the traffic conges...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of social economy, urban traffic problems are becoming more and more serious, and the status of public transportation is becoming more and more prominent. The optimal dispatch of public transportation has improved the urban traffic situation to a large extent. However, there are still many problems in public transportation: first, Due to the uneven distribution of passenger flow on the up and down routes of the bus, the number of passengers waiting at many stations on the bus route with too much passenger flow is too large and the waiting time is too long, which will cause passengers to be dissatisfied with the service level of the bus; secondly, the bus Failure to adjust the departure time interval during the peak period will aggravate the traffic congestion during the peak period. Determining a reasonable bus departure time interval is also the key to the bus vehicle allocation time. To solve the above problems, public transportation needs to be rescheduled and optimized

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