Method for dynamically estimating travel time of motor vehicle on urban road under control of signal lamps

A technology of signal light control and travel time, applied in the direction of traffic flow detection, etc., can solve the problems of inability to dynamically estimate intersection delays, inability to collect vehicle numbers, etc.

Inactive Publication Date: 2010-06-09
SUZHOU UNIV
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Problems solved by technology

However, in the current situation, the traffic signal control system usually records the number of vehicles detected every 5, 10 or 15 minutes as traffic flow. At this time, the sampling inte

Method used

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  • Method for dynamically estimating travel time of motor vehicle on urban road under control of signal lamps
  • Method for dynamically estimating travel time of motor vehicle on urban road under control of signal lamps
  • Method for dynamically estimating travel time of motor vehicle on urban road under control of signal lamps

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Embodiment 1

[0065] Embodiment one: see attached figure 1 to attach Figure 4 as shown,

[0066] A method for estimating the dynamic travel time of motor vehicles on urban roads controlled by signal lights. The 6 hours (8:00-14:00) of the investigation period are divided into 10-minute time windows, and the time interval in the time window is defined as 15 seconds. Taking the time window of 8:00-8:10 as an example below, an example of how to estimate the travel time of a main road in a time window is given.

[0067] (1) Definition of state and its variables

[0068] attached image 3 It is a schematic diagram of the state of the arterial system and its variables between 8:00-8:10, and how to define the state of the arterial system and its variables at each time interval in the time window of 8:00-8:10 variable, the system has 2 5 = 32 states, the state numbers of which are distributed as m=1, 2, . . . , 32. According to formula (2), the queuing duration of each intersection can be ca...

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Abstract

The invention discloses a method for dynamically estimating travel time of a motor vehicle on an urban road under control of signal lamps. The method comprises the following steps of: dividing analysis time into time windows and dividing a current time window into a plurality of time points at equal time intervals; determining crossings and distances between every two crossings that the motor vehicle passes by, acquiring the real-time signal timing data of each crossing and universal traffic flow data acquired by each crossing coil detector from a traffic signal control system and calculating traffic flows in each current signal period according to traffic flow detection time; and realizing dynamic estimation on the travel time on a trunk road according to the state change probability of the system. The method has the advantages of realizing the dynamic estimation on the travel time of the motor vehicle on the urban road under the control of the signal lamps, having good portability and greatly enhancing economical efficiency.

Description

technical field [0001] The present invention relates to the dynamic estimation method of travel time of motor vehicle traffic flow on urban roads, in particular to using the traffic flow data obtained through detection of traffic signal light control systems at consecutive intersections to dynamically estimate motor vehicles on urban signal control roads A method for estimating travel time in traffic flow. Background technique [0002] According to different estimation objects, travel time estimation can be divided into two categories: continuous flow travel time estimation and discontinuous flow travel time estimation. On urban roads, signal lights are usually set at intersections, and traffic control is carried out by signal lights. Affected by them, the traffic flow on urban roads is intermittent traffic flow. At the same time, vehicles are often affected by various factors when driving on the section. Compared with continuous traffic flow, intermittent traffic flow on s...

Claims

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Application Information

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IPC IPC(8): G08G1/01
Inventor 张勇
Owner SUZHOU UNIV
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