RFID data and dynamic vehicle source based route guidance method

Abstract

The invention provides an RFID data and dynamic vehicle source based route guidance method. The method includes steps of 1) constructing an urban road traffic network; 2) matching RFID base stations with road segment nodes; extracting road segment node based travelling ODs based on RFID record data; 3) distributing the travelling ODs to different road segments by adopting an MSA algorithm and obtaining road segment flows and external driving time; 4) calculating total external driving time of each RFID base station and taking N RFID base stations having the longest total external driving time as major vehicle sources causing jamming; 5) when performing route guidance, as for travel from the major vehicle sources causing jamming and travel from other vehicle sources, using different road resistance functions for calculating resistance of different road segments respectively and distributing all travels of the time period to different road segments based on MSA algorithm. According to the invention, route guidance can be performed for partial vehicles in a targeted manner and traffic jamming can be relieved.

Description

technical field [0001] The invention belongs to the technical field of transportation, and in particular relates to a route induction method based on RFID data and dynamic vehicle sources. Background technique [0002] With the acceleration of urbanization and the increase of car usage, the problem of urban traffic congestion is becoming more and more serious. The occurrence of traffic congestion will bring about various problems such as fuel consumption, pollution gas emissions, and increased travel time, which will affect people's living environment and travel experience. How to improve the efficiency of urban transportation and alleviate traffic congestion is one of the important issues to solve resource conservation, environmental protection and human health. At present, the main ways to alleviate traffic congestion include: controlling traffic demand, improving road network structure, improving traffic infrastructure, intelligent path guidance, etc. Among them, compar...

AI Technical Summary

Problems solved by technology

[0003] 1) Lack of accurate and real-time traffic demand data, research on intelligent route induction is limited to theoretical models, and its feasibility and practicability are difficult to prove

[0004] 2) Most of the current route guidance methods use static traffic information to conduct route guidance from a global perspective. The wide range of management is not conducive to the implementation of the management department, and it is not conducive to the driver's acceptance of the guidance strategy

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