Variable lane and channelization transformation optimization method

Abstract

The invention relates to the technical field of traffic control, in particular to a variable lane and channelization transformation optimization method, which comprises the following steps: judging the unbalance condition of each unit time in any day according to the historical flow data of any entrance and a first unbalance threshold value; according to the unbalance condition, lane simulation switching is conducted on the entrance, whether reverse unbalance is caused in each unit time after lane simulation switching is judged, and a reverse unbalance judgment result corresponding to each unit time in one day is obtained; obtaining an unbalance condition and a reverse unbalance judgment result of each unit time of each day within one month, and obtaining a lane reconstruction result based on the unbalance condition and the reverse unbalance judgment result of each unit time of each day within one month, a preset unbalance day number proportion threshold value and a preset lane reconstruction strategy. And obtaining lane optimization suggestions of the entrance in the future one month. The method has the beneficial effects that the risk that prediction suggestions are not matched with intersection conditions after actual use is reduced, and the risk of waste of manpower and material resources is further reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic control, and in particular to a variable lane and channelization transformation optimization method. Background Art

[0002] With the continuous advancement of urbanization and the rapid increase in urban population density and car ownership, traffic congestion often occurs, urban traffic problems are becoming increasingly serious, and have seriously affected the efficient operation of the city and the work and life of residents.

[0003] The main cause of urban traffic congestion is congestion at intersections. If there are no facilities and markings to control the direction of the lanes at the intersection, the clarity of the traffic channel will be destroyed and driving safety will be reduced. Therefore, in order to enable drivers to drive on the correct route at the intersection and reduce arbitrariness, the method of "intersection channelization" is often used, that is, various traffic islands are set up on the lanes to close part of the intersection, and the restricted areas are separated by markings to disperse the conflict points where the traffic flows intersect as much as possible. Practice has proved that intersection channelization is a very important safety measure. However, a channelization scheme that is not adapted to the direction and volume of traffic will also disrupt traffic order, reduce traffic capacity, and may lead to an increase in traffic accidents.

[0004] Channeling and optimizing intersections or adding variable lanes based on actual traffic conditions can help alleviate traffic congestion. Currently, manual surveys and computer-assisted methods are often used to make lane optimization recommendations.

[0005] However, existing traffic control optimization methods are only supported by perception data, and do not simulate the consequences of the prediction results or recommend detailed plans, resulting in a mismatch with the intersection conditions after actual use, which in turn causes a waste of manpower and material resources. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a variable lane and channelization transformation optimization method, which solves the technical problem that the existing scheme relies only on external equipment support and perception data support, but has no prediction function, and is unable to simulate the consequences of the prediction results and recommend detailed schemes, which may lead to waste of manpower and material resources.

[0008] (II) Technical solution

[0009] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0010] In a first aspect, an embodiment of the present invention provides a variable lane and channelization optimization method, comprising:

[0011] S110, judging the imbalance situation corresponding to each unit time in any day according to the historical flow data preset at any inlet and the first imbalance threshold; the imbalance situation includes: normal flow, straight flow is much larger than left turn flow or left turn flow is much larger than straight flow;

[0012] S120, according to the imbalance situation, simulate lane switching of the entrance; the lane switching simulation is to simulate switching the flow direction of one lane in the entrance to another flow direction; the flow direction includes straight and left turn; the historical flow data includes the flow data of each unit time of the entrance within one month;

[0013] S130, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the historical traffic data and the first imbalance threshold, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day;

[0014] S140. Repeat steps S110 to S130 to obtain the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, and obtain lane optimization suggestions for the import within the next month based on the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, as well as the preset imbalance day ratio threshold and the preset lane reconstruction strategy.

[0015] Optionally, the S11 includes:

[0016] S110-1. Obtain a first imbalance coefficient corresponding to each unit time of any one day of the import according to the preset historical traffic data of any import and the preset formula 1; the historical traffic data includes the straight traffic and left turn traffic corresponding to each unit time of each day in the past month;

[0017] The formula 1 is:

[0018]

[0019] Among them, μ i is the first imbalance coefficient corresponding to any unit time of the import within one day, q i1 is the straight flow rate corresponding to any unit time of the import in one day in the historical flow data, q i2 is the left-turn flow corresponding to any unit time of the import in a day in the historical flow data, c 1 The predetermined through-traffic capacity of the import, c 2 the predetermined left-turn capacity for the entrance;

[0020] S110-2, judging whether the straight flow and the left-turn flow corresponding to each unit time in a day are unbalanced according to the first imbalance coefficient corresponding to each unit time in a day of the entrance and the preset first imbalance threshold;

[0021] When the first imbalance coefficient μ corresponding to any unit time in a day i >ε, it is judged that a flow imbalance occurs in the unit time, and the straight flow is much larger than the left-turn flow; ε is the first imbalance threshold;

[0022] When the first imbalance coefficient μ corresponding to any unit time in a day i <-ε, it is judged that there is a flow imbalance in this unit time, and the left-turn flow is much larger than the straight flow;

[0023] When the first imbalance coefficient corresponding to any unit time in a day |μ i When |≤ε, the flow rate in this unit time is considered normal;

[0024] Then the S120 includes:

[0025] When a flow imbalance occurs at any unit time in a day, and the through flow is much larger than the left-turn flow, the left-turn lane at the entrance is simulated to be switched to the through lane within the unit time;

[0026] When a traffic imbalance occurs at any unit time in a day, and the left-turn traffic is much larger than the through-traffic traffic, the through-traffic lane at the entrance is simulated to be switched to the left-turn lane within that unit time.

[0027] Optionally, the S130 includes:

[0028] S130-1. Based on the historical traffic data and the preset formula 2, obtain the second imbalance coefficient corresponding to each unit time of the entrance in one day after the lane simulation conversion; the formula 2 is:

[0029]

[0030] Among them, μ' i K is the second imbalance coefficient corresponding to each unit time of the import within one day after the lane simulation conversion. i1 is the number of original through lanes at the entrance before the preset lane simulation switch, K i2 K' is the original left-turn lane number of the entrance before the preset lane simulation switch; i1 is the number of through lanes at the entrance after lane simulation switching, K' i2 The number of left-turn lanes at the entrance after lane simulation switching;

[0031] S130-2, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the first imbalance coefficient, the second imbalance coefficient and the first imbalance threshold corresponding to any unit time, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day;

[0032] When μ i >ε and μ' i <-ε, or μ i <-ε and μ' i When >ε, there is a reverse imbalance in this unit time, and there is no reverse imbalance in other cases.

[0033] Optionally, after S120 and before S130-1, the following steps are further included:

[0034] S130-0, judging whether an abnormal lane number occurs according to the lane number after the lane switching simulation at the entrance;

[0035] When the lane number of the straight lane or the left-turn lane is 0 after the lane simulation switching, it is determined that the lane number abnormality occurs after the lane simulation switching in the corresponding unit time, and the process jumps to S140;

[0036] The reverse imbalance judgment result includes reverse imbalance, no reverse imbalance or abnormal lane number.

[0037] Optionally, after S130 and before S140, the following steps are further included:

[0038] When the imbalance situation corresponding to each unit time in any day and the reverse imbalance judgment result corresponding to each unit time in a day are obtained, the lane optimization suggestion for the entrance is obtained;

[0039] When the through traffic volume is much larger than the left-turn traffic volume on any day, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a through lane;

[0040] When the left-turn flow is much larger than the straight-ahead flow, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a left-turn lane.

[0041] Optionally, the S140 includes:

[0042] S140-1, repeating steps S110 to S130, obtaining the imbalance conditions and reverse imbalance judgment results for each unit time of each day in the past month; the reverse imbalance judgment results include reverse imbalance, no reverse imbalance or abnormal lane number;

[0043] S140-2. Based on the imbalance of each unit time of each day in the past month, count the number of days D in which the straight flow is much greater than the left turn flow corresponding to each unit time of one day in the past month. 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 ;

[0044] S140-3, based on the number of days D in which the straight flow rate is much greater than the left turn flow rate in each unit time of the day in the past month 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether lane optimization suggestions are needed for this unit time;

[0045] When D max =D 3 When , no lane optimization suggestion is needed;

[0046] When D max =D 1 , or D max =D 2 When the flow rate of each unit time in a day in the past month is much higher than the number of days D when the straight flow rate is much higher than the left turn flow rate 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , as well as the preset imbalance day threshold and the reverse imbalance judgment results of each unit time every day in the past month, to determine whether lane optimization suggestions are needed;

[0047] S140-4, when or , then lane optimization suggestions are needed for this unit time, and according to the imbalance situation and reverse imbalance judgment results in the past month of this unit time, as well as the preset imbalance day threshold, the lane optimization suggestions for this entrance in the future are obtained; the imbalance day threshold includes the first imbalance day threshold λ 1 .

[0048] Optionally, the S140-4 includes:

[0049] When D max =D 1 ,and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed;

[0050] When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a through lane;

[0051] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M that caused reverse imbalance after lane simulation transformation when the straight traffic volume is much larger than the left-turn traffic volume is counted. 1 , and the number of days M of reverse imbalance caused by lane simulation reconstruction when the straight traffic is much larger than the left-turn traffic 1 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether changing lanes will cause reverse imbalance; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a straight lane;

[0052] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M without reverse imbalance caused by lane simulation transformation when the straight traffic volume is much larger than the left-turn traffic volume is counted. 2 , and the number of days M without reverse imbalance caused by lane simulation transformation when the straight traffic is much larger than the left-turn traffic 2 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether to recommend setting up a variable lane; when , then the lane optimization suggestion is output, that is, a left-turn lane is set as a variable lane; the imbalance day threshold also includes a second imbalance day threshold λ 2 ;

[0053] When D max =D 2 ,and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed;

[0054] When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a left-turn lane;

[0055] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M that caused reverse imbalance after lane simulation transformation when the left-turn flow is much larger than the straight-through flow is counted. 3 , and the number of days M of reverse imbalance caused by lane simulation reconstruction when the left-turn flow is much greater than the straight-through flow 3, and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether changing lanes will cause reverse imbalance; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a left-turn lane;

[0056] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M without reverse imbalance caused by lane simulation transformation when the left-turn flow is much larger than the straight-through flow is counted. 4 , and the number of days M without reverse imbalance caused by lane simulation transformation when the left-turn flow is much larger than the straight flow 4 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether to recommend setting up a variable lane; when , then output a lane optimization suggestion, that is, set a straight lane as a variable lane.

[0057] Optionally, before S110, the step further includes:

[0058] S100, when each day in the past preset time ends, the flow data of all intersections in the preset road network of the day is obtained and saved in the historical flow data;

[0059] According to the entrance information of all intersections in the pre-set road network, determine whether the entrance is set with a variable lane. If a variable lane is set, the intersection is screened out;

[0060] Based on the entrance information of all intersections in the road network after screening, it is determined whether the entrance has a separate left-turn flow direction and a straight-ahead flow direction. If not, the intersection is screened out.

[0061] Optionally, after S140, the step further includes:

[0062] S150. Repeat steps S110 to S140 until the lane optimization suggestions for each unit time at each entrance of all intersections in the road network are obtained in advance, and based on the lane optimization suggestions for each unit time at each entrance of all intersections in the road network, the lane optimization suggestions for each entrance by time period are aggregated and displayed, and adjacent unit times with the same lane optimization suggestions are aggregated into one time period, and the lane optimization suggestion plan for each entrance is output in days, and the lane optimization suggestion plan is a summary of the lane optimization suggestions for all unit times at any entrance within one day.

[0063] Optionally, the S150 further includes:

[0064] Before outputting the lane optimization suggestion plan for each entrance, check whether the lane optimization suggestions for each entrance in the pre-set road network are the same throughout the day. If they are the same, the data of the entrance is judged to be abnormal and the lane optimization suggestion plan is not output.

[0065] (III) Beneficial effects

[0066] The beneficial effects of the present invention are as follows: a variable lane and channelization transformation optimization method of the present invention uses historical traffic data to make a prediction after lane simulation switching, and sets a verification of the rationality of whether there is a reverse imbalance after the simulation switching. Compared with the prior art, it can reduce the risk of the prediction suggestion not matching the intersection situation after actual use, thereby reducing the risk of waste of manpower and material resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A flow chart of a variable lane and channelization transformation optimization method;

[0068] Figure 2 The figure is a flowchart of a variable lane and channelization transformation optimization method. DETAILED DESCRIPTION

[0069] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0070] An optimization method for variable lanes and channelization transformation proposed in an embodiment of the present invention uses historical traffic data to make a prediction after lane simulation switching, and provides a verification of the rationality of whether there is a reverse imbalance after the simulation switching. Compared with the prior art, it can reduce the risk of the prediction suggestion not matching the intersection situation after actual use, thereby reducing the risk of waste of manpower and material resources.

[0071] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0072] Example 1

[0073] This embodiment provides a variable lane and channelization optimization method, such as Figure 1 As shown, including:

[0074] S100, when each day in the past preset time ends, the flow data of all intersections in the preset road network of the day is obtained and saved in the historical flow data;

[0075] According to the entrance information of all intersections in the pre-set road network, determine whether the entrance is set with a variable lane. If a variable lane is set, the intersection is screened out;

[0076] Based on the entrance information of all intersections in the road network after screening, it is determined whether the entrance has a separate left-turn flow direction and a straight-ahead flow direction. If not, the intersection is screened out.

[0077] Generally, a road network includes at least one intersection, each intersection includes two or more entrances; and each entrance includes multiple lanes.

[0078] S110, judging the imbalance situation corresponding to each unit time in any day according to the historical flow data preset at any inlet and the first imbalance threshold; the imbalance situation includes: normal flow, straight flow is much larger than left turn flow or left turn flow is much larger than straight flow; specifically including:

[0079] S110-1. Obtain a first imbalance coefficient corresponding to each unit time of any one day of the import according to the preset historical traffic data of any import and the preset formula 1; the historical traffic data includes the straight traffic and left turn traffic corresponding to each unit time of each day in the past month;

[0080] The formula 1 is:

[0081]

[0082] Among them, μ i is the first imbalance coefficient corresponding to any unit time of the import within one day, q i1 is the straight flow rate corresponding to any unit time of the import in one day in the historical flow data, q i2is the left-turn flow corresponding to any unit time of the import in a day in the historical flow data, c 1 The predetermined through-traffic capacity of the import, c 2 the predetermined left-turn capacity for the entrance;

[0083] S110-2, judging whether the straight flow and the left-turn flow corresponding to each unit time in a day are unbalanced according to the first imbalance coefficient corresponding to each unit time in a day of the entrance and the preset first imbalance threshold;

[0084] When the first imbalance coefficient μ corresponding to any unit time in a day i >ε, it is judged that a flow imbalance occurs in the unit time, and the straight flow is much larger than the left-turn flow; ε is the first imbalance threshold;

[0085] When the first imbalance coefficient μ corresponding to any unit time in a day i <-ε, it is judged that there is a flow imbalance in this unit time, and the left-turn flow is much larger than the straight flow;

[0086] When the first imbalance coefficient corresponding to any unit time in a day |μ i When |≤ε, the flow rate in this unit time is judged to be normal.

[0087] S120, according to the imbalance situation, simulate lane switching for the entrance; the lane switching simulation is to simulate switching the flow direction of one lane in the entrance to another flow direction; the flow direction includes straight ahead and left turn; the historical flow data includes the flow data of each unit time of the entrance within one month; specifically includes:

[0088] When a flow imbalance occurs at any unit time in a day, and the through flow is much larger than the left-turn flow, the left-turn lane at the entrance is simulated to be switched to the through lane within the unit time;

[0089] When a traffic imbalance occurs at any unit time in a day, and the left-turn traffic is much larger than the through-traffic traffic, the through-traffic lane at the entrance is simulated to be switched to the left-turn lane within that unit time.

[0090] S130, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the historical traffic data and the first imbalance threshold, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day; specifically comprising:

[0091] S130-0, judging whether an abnormal lane number occurs according to the lane number after the lane switching simulation at the entrance;

[0092] When the lane number of the straight lane or the left-turn lane is 0 after the lane simulation switching, it is determined that the lane number abnormality occurs after the lane simulation switching in the corresponding unit time, and the process jumps to S140;

[0093] The reverse imbalance judgment result includes reverse imbalance, no reverse imbalance or abnormal lane number.

[0094] S130-1. Based on the historical traffic data and the preset formula 2, obtain the second imbalance coefficient corresponding to each unit time of the entrance in one day after the lane simulation conversion; the formula 2 is:

[0095]

[0096] Among them, μ' i K is the second imbalance coefficient corresponding to each unit time of the import within one day after the lane simulation conversion. i1 is the number of original through lanes at the entrance before the preset lane simulation switch, K i2 K' is the original left-turn lane number of the entrance before the preset lane simulation switch; i1 is the number of through lanes at the entrance after lane simulation switching, K' i2 The number of left-turn lanes at the entrance after lane simulation switching;

[0097] S130-2, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the first imbalance coefficient, the second imbalance coefficient and the first imbalance threshold corresponding to any unit time, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day;

[0098] When μ i >ε and μ' i <-ε, or μ i <-ε and μ' i When >ε, there is a reverse imbalance in this unit time, and there is no reverse imbalance in other cases.

[0099] When the imbalance situation corresponding to each unit time in any day and the reverse imbalance judgment result corresponding to each unit time in a day are obtained, the lane optimization suggestion for the entrance is obtained;

[0100] When the through traffic volume is much larger than the left-turn traffic volume on any day, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a through lane;

[0101] When the left-turn flow is much larger than the straight-ahead flow, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a left-turn lane.

[0102] S140, repeating steps S110 to S130, obtaining the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, and obtaining the lane optimization suggestion of the entrance within the next month based on the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, as well as the preset imbalance day ratio threshold and the preset lane reconstruction strategy; specifically including:

[0103] S140-1, repeating steps S110 to S130, obtaining the imbalance conditions and reverse imbalance judgment results for each unit time of each day in the past month; the reverse imbalance judgment results include reverse imbalance, no reverse imbalance or abnormal lane number;

[0104] S140-2. Based on the imbalance of each unit time of each day in the past month, count the number of days D in which the straight flow is much greater than the left turn flow corresponding to each unit time of one day in the past month. 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 ;

[0105] S140-3, based on the number of days D in which the straight flow rate is much greater than the left turn flow rate in each unit time of the day in the past month 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether lane optimization suggestions are needed for this unit time;

[0106] When D max =D 3 When , no lane optimization suggestion is needed;

[0107] When D max =D 1 , or D max =D 2 When the flow rate of each unit time in a day in the past month is much higher than the number of days D when the straight flow rate is much higher than the left turn flow rate 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , as well as the preset imbalance day threshold and the reverse imbalance judgment results of each unit time every day in the past month, to determine whether lane optimization suggestions are needed;

[0108] S140, D max =D 1 ,and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed;

[0109] When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a through lane;

[0110] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M that caused reverse imbalance after lane simulation transformation when the straight traffic volume is much larger than the left-turn traffic volume is counted. 1 , and the number of days M of reverse imbalance caused by lane simulation reconstruction when the straight traffic is much larger than the left-turn traffic 1 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether changing lanes will cause reverse imbalance; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a straight lane;

[0111] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M without reverse imbalance caused by lane simulation transformation when the straight traffic volume is much larger than the left-turn traffic volume is counted. 2 , and the number of days M without reverse imbalance caused by lane simulation transformation when the straight traffic is much larger than the left-turn traffic 2 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether to recommend setting up a variable lane; when , then the lane optimization suggestion is output, that is, a left-turn lane is set as a variable lane; the imbalance day threshold also includes a second imbalance day threshold λ 2 ;

[0112] When D max =D 2 ,and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed;

[0113] When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a left-turn lane;

[0114] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M that caused reverse imbalance after lane simulation transformation when the left-turn flow is much larger than the straight-through flow is counted.3 , and the number of days M of reverse imbalance caused by lane simulation reconstruction when the left-turn flow is much greater than the straight-through flow 3 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether changing lanes will cause reverse imbalance; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a left-turn lane;

[0115] Otherwise, according to the reverse imbalance judgment results of each unit time every day in the past month, the number of days M without reverse imbalance caused by lane simulation transformation when the left-turn flow is much larger than the straight-through flow is counted. 4 , and the number of days M without reverse imbalance caused by lane simulation transformation when the left-turn flow is much larger than the straight flow 4 , and the number of days D in which the straight flow is much greater than the left turn flow in the past month for each unit time of the day 1 , the number of days when the left-turn traffic is much greater than the straight traffic D 2 and days with normal flow D 3 , determine whether to recommend setting up a variable lane; when , then output a lane optimization suggestion, that is, set a straight lane as a variable lane.

[0116] S150. Repeat steps S110 to S140 until the lane optimization suggestions for each unit time at each entrance of all intersections in the preset road network are obtained, and based on the lane optimization suggestions for each unit time at each entrance of all intersections in the road network, the lane optimization suggestions for each entrance by time period are aggregated and displayed, and adjacent unit times with the same lane optimization suggestions are aggregated into one time period, and the lane optimization suggestion plan for each entrance is output in units of days, and the lane optimization suggestion plan is a summary of the lane optimization suggestions for all unit times at any entrance in one day; before outputting the lane optimization suggestion plan for each entrance, check whether the lane optimization suggestions for each entrance in the preset road network throughout the day are the same. If they are the same, it is determined that the data of the entrance is abnormal, and the lane optimization suggestion plan is not output.

[0117] This embodiment uses historical traffic data to make a prediction after the lane simulation switch, and sets a verification of whether there is a rationality of reverse imbalance after the simulation switch, which can reduce the risk of the prediction suggestion not matching the intersection situation after actual use, thereby reducing the risk of waste of manpower and material resources.

[0118] Example 2

[0119] This embodiment provides a variable lane and channelization optimization method, and its flow chart is as follows: Figure 2 As shown, including:

[0120] Based on the intersection model and traffic data, the matching degree between traffic flow and intersection channelization is analyzed; that is, intersections where traffic flow characteristics do not match channelization are identified, and according to the specific conditions of the intersection, channelization reconstruction recommendations or variable lane time-sharing setting plans are recommended.

[0121] Create intersections for channelization or variable lane setting, and pre-process the data; set the basic configuration parameters required by the algorithm according to the algorithm model requirements; calculate the daily straight and left-turn traffic data analysis records of the intersection according to the algorithm model; determine whether lane switching will cause reverse imbalance based on the analysis records; form statistical records on a monthly basis; output recommended solutions for intersection channelization or variable lane setting.

[0122] Collect intersection models of all intersections in the road network and lane-level traffic data in the past month as historical traffic data, and pre-configure the parameters to be configured.

[0123] The intersection model includes: intersection ID, entrance ID, lane ID, flow direction and lane type; flow direction includes: left turn, straight ahead, right turn, straight left or straight right; lane types include: ordinary lane, variable lane, tidal lane, etc. (if there is no information, it defaults to ordinary lane).

[0124] Lane-level traffic data includes: intersection ID, entrance ID, lane ID, flow direction, number of vehicles passing, start time, and end time.

[0125] The parameters to be configured include: the duration of a unit time, a first imbalance threshold, a first imbalance days threshold, and a second imbalance days threshold.

[0126] After the end of the day (after 24:00), the basic model data of all intersections in the road network are obtained to start judgment.

[0127] For each intersection, determine whether variable lanes have been set up at each entrance. If variable lanes have been set up, no subsequent calculations will be performed (if relevant information cannot be obtained, it is assumed that there are no variable lanes by default).

[0128] Determine whether there are separate left-turn and straight-ahead flows at the intersection entrance. If not, stop calculating.

[0129] For each intersection, obtain the left-turn and straight-through traffic data of each entrance (if there is queue length data, it is necessary to superimpose the last green light end point and the vehicles in the queue within the unit time, if not, it is only the number of vehicles passing) and the number of lanes. Divide a day into different unit times with T as the time interval, that is, set the unit time to 1 hour, and set T to 1h by default. There are 24 unit times in a day.

[0130] The traffic data of all entrances and exits at all intersections in the road network in the past month are recorded as historical traffic data.

[0131] For each unit time at each intersection entrance, the hourly flow of left turns and straight-ahead traffic, i.e., left-turn traffic and straight-ahead traffic, is obtained. Generally, the flow direction traffic is the average flow of the lanes included in the flow direction (only lanes with data are counted).

[0132] For each unit time of each intersection k entrance i on the pre-specified day j, where the day j is usually any day in the past month, calculate the flow ratio of left-turn flow to straight flow, and record the straight flow per hour as q i1 , the left turn flow rate per hour is q i2 , the straight-through capacity is C 1 , the left-turn capacity is C 2 (The traffic capacity is the assumed traffic volume per unit time or the target traffic volume per unit time when or before each lane is built, and is a value known or set in advance for each entrance before the implementation of this embodiment.) According to the straight-line traffic volume per hour, q i1 , the left turn flow rate per hour is q i2 , the straight-through capacity is C 1 , the left-turn capacity is C 2 , and the preset formula 1, obtain the first imbalance coefficient corresponding to each unit time of the entrance i of the intersection k on the jth day;

[0133]

[0134] The data of each unit time is marked, and the marking logic is as follows:

[0135] If μ i >ε, then it is judged that the flow of inlet i in this unit time is unbalanced, and the straight flow is much larger than the left-turn flow, flag = 1;

[0136] If μ i <-ε, it is judged that the flow of inlet i in this unit time is unbalanced, and the left-turn flow is much larger than the straight flow, flag = 2;

[0137] In other cases, the traffic is normal, flag = 3;

[0138] Among them, ε is the import imbalance threshold, that is, the first imbalance threshold, which is a manually pre-configured parameter.

[0139] At this time, the imbalance judgment data can be recorded, including intersection ID, entrance ID, date, location of the unit time in a day (i.e., hour), straight flow, left turn flow, and flow condition label (flag value, straight flow is large, left turn flow is large, and normal).

[0140] For the data with flag = 1 or flag = 2 on the jth day, it is necessary to further determine whether the lane switch will cause reverse imbalance, including:

[0141] For data with flag = 1, that is, the execution flow is much greater than the left-turn flow, a lane simulation switch is performed, a left-turn lane is switched to a straight lane, and the flow distribution after the lane simulation switch is simulated based on the measured flow data of this lane (in the historical flow data), and the number of lanes in each direction after the entrance i changes lanes is calculated, that is:

[0142] K′ i1 =K i1 +1

[0143] K′ i2 =K i2 -1

[0144] Among them, K i1 is the number of original through lanes at the entrance before the preset lane simulation switch, K i2 K' is the original left-turn lane number of the entrance before the preset lane simulation switch; i1 is the number of through lanes at the entrance after lane simulation switching, K' i2 The number of left-turn lanes at the entrance after lane simulation switching.

[0145] Determine whether there is a reverse imbalance and initialize the flag; E=Fasle, F=Fasle.

[0146] Determine the number of lanes after adjustment, if K' i2 =0, then there is no left turn lane after adjustment, the reverse is unbalanced, the mark E = True, and the number of lanes is abnormal, the mark F = True.

[0147] If K' i2 ≠0, then the imbalance coefficient of the straight flow and the left-turn flow after the lane simulation switching is calculated based on Formula 2, that is, the second imbalance coefficient μ' i , the formula 2 is:

[0148]

[0149] and judging whether there is a reverse imbalance based on a preset first imbalance threshold;

[0150] If μ' i <-ε, then after changing lanes, the average flow rate in the left-turn lane is much greater than that in the straight lane, resulting in an imbalance in the reverse direction, and E=True is marked; in other cases, E=Fasle is marked.

[0151] For data with flag = 1, that is, the left-turn flow is much larger than the straight-through flow, a lane simulation switch is performed, a straight-through lane is switched to a left-turn lane, and the flow distribution after the lane simulation switch is simulated based on the measured flow data of this lane (in the historical flow data), and the number of lanes in each direction after the entrance i changes lanes is calculated;

[0152] K′ i1 =K i1 -1

[0153] K′ i2 =K i2 +1

[0154] Determine whether there is a reverse imbalance and initialize the flag; E=Fasle, F=Fasle.

[0155] The number of lanes after the adjustment is interrupted, if K' i2 =0, then there is no through lane after adjustment, there is an imbalance in the reverse direction, mark E = True, and the number of lanes is abnormal, mark F = True.

[0156] If K' i2 ≠0, then the second imbalance coefficient μ' of the straight flow and left turn flow after lane simulation switching is calculated based on Formula 2 i ;

[0157] and judging whether there is a reverse imbalance based on a preset first imbalance threshold;

[0158] If μ' i >ε, then after changing lanes, the average flow rate in the left-turn lane is much greater than that in the straight lane, resulting in an imbalance in the reverse direction, and E=True is marked; in other cases, E=Fasle is marked.

[0159] The information on whether there is a reverse imbalance, i.e., the reverse imbalance judgment result, can record the intersection id, entrance id, date, position of the unit time in a day (i.e., the hour), straight flow, left turn flow, flow condition label (flag value, large straight flow, large left turn flow, normal), whether there is a reverse imbalance (E value), and whether the number of lanes is abnormal (F value).

[0160] By combining the above conclusions, when the imbalance situation corresponding to each unit time in any day and the reverse imbalance judgment result corresponding to each unit time in a day are obtained, the lane optimization suggestion for the entrance is obtained;

[0161] When the through traffic volume is much larger than the left-turn traffic volume on any day, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold of 16 hours, the lane optimization suggestion for the entrance is output, that is, adding a through lane;

[0162] When the left-turn flow is much larger than the straight-ahead flow, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold of 16h, the lane optimization suggestion for the entrance is output, that is, adding a left-turn lane.

[0163] In the above manner, the data stored every day for the past month is obtained, and each entrance of each intersection is judged one by one, and statistics are made according to the flag value for each time period.

[0164] For the Lth unit time of each day in the past month, the number of days corresponding to flag = 1 is D 1 , flag=2, the corresponding number of days is D 2 , flag=3, the corresponding number of days is D 3 , let D = D 1 +D 2 +D 3 , D 1 , D 2 , D 3 The maximum value in is D max .

[0165] When D max =D 3 , then the unit time is normal, the time period label is marked as R=3, and the label marking the lane optimization suggestion is S=0, that is, there is no lane optimization suggestion.

[0166] D max = =D 1 ,and When , the straight flow rate per unit time is much larger than the left-turn flow rate, and the time period label is R = 1, otherwise R = 3; λ 1 is the first imbalance days threshold, and its default value is 0.5;

[0167] When R=1, based on the statistical reverse imbalance judgment results of this unit time every day in the past month, if the time period F=True, it means that the variable lane cannot be set, the time period label is R=1, and the recommended label S=1 (channelization transformation). The recommendation content is: add a straight lane; the reverse imbalance judgment results include reverse imbalance, no reverse imbalance or abnormal number of lanes.

[0168] Otherwise, the number of days with flag = 1 and E = True is M 1 (The number of days when lane simulation modification causes reverse imbalance when the straight traffic volume is much larger than the left-turn traffic volume) It indicates that changing lanes will lead to reverse imbalance, the time period label is R=1, and the label for marking lane optimization suggestions is S=1, that is, channelization transformation is carried out. The recommended content is: add a through lane;

[0169] Otherwise, the number of days with flag = 1 and E = False is M 2 (The number of days when lane simulation modification results in no reverse imbalance when the straight traffic volume is much larger than the left-turn traffic volume) The time period is marked as R = 1, and the recommended label S = 2, that is, setting a variable lane. The recommended content is: setting a left-turn lane as a variable lane; λ 2 The second imbalance days threshold, the default value is 0.5.

[0170] D max = =D 2 ,and When , the left-turn flow rate per unit time is much larger than the straight-through flow rate, and the time period label is R = 2, otherwise R = 3;

[0171] When R=2, based on the statistical results of the reverse imbalance judgment of the unit time every day in the past month, if the time period F=True, it means that the variable lane cannot be set, the time period label is R=2, the recommended label S=1 (channelization transformation), and the recommended content is: add a left turn lane;

[0172] Otherwise, the number of days with flag = 2 and E = True is M 3 (The number of days when the left-turn traffic is much larger than the straight-through traffic and the lane simulation modification causes reverse imbalance). It indicates that changing lanes will lead to reverse imbalance, the time period label is R=2, and the label for marking lane optimization suggestion is S=1, that is, channelization transformation is carried out and a left-turn lane is added;

[0173] Otherwise, the number of days with flag = 2 and E = False is M 4 (The number of days without reverse imbalance after lane simulation modification when the left-turn flow is much greater than the straight-through flow). The time period is marked as R=2, and the recommended label S=2, that is, setting a variable lane. Recommended content: setting a left-turn lane as a variable lane.

[0174] Record results: intersection ID, entrance ID, location of the unit time in a day (i.e., hour), time period label, and recommended label.

[0175] Filter the intersections that are recommended to set up variable lanes, obtain the above conclusions, and obtain the data of all unit times for each intersection and each entrance.

[0176] The time period intersection entrances including (R=1 or R=2) and S=2 are selected and output as the final intersection entrances for recommending setting variable lanes.

[0177] For each intersection and each entrance, set one lane as a variable lane. The recommended flow direction of the variable lane in different time periods is:

[0178] If R = 1 for a certain unit time, the recommended lane flow direction is straight ahead;

[0179] If R = 2 for a certain unit time, the recommended lane flow direction is to turn left;

[0180] In other cases, the recommended lane flow direction is the original flow direction (the flow direction when setting variable lanes).

[0181] The judgment results of each import per unit time are aggregated and displayed, and adjacent unit times with the same recommended flow direction are aggregated into one time period.

[0182] Check whether the lane optimization suggestions for each entrance in the road network are the same throughout the day. If they are the same, the data of the entrance is judged to be abnormal and no lane optimization suggestion plan is output.

[0183] Output intersection id, entrance id, location per unit time, and recommended flow direction of variable lanes.

[0184] This embodiment makes a prediction based on the traffic perception data algorithm model, verifies the rationality of whether there is a reverse imbalance after the prediction scheme is switched, simulates the consequences of the prediction results and recommends detailed schemes, reduces the risk of mismatch with the intersection conditions after actual use, and thus reduces the waste of manpower and material resources.

[0185] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0186] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0187] In the present invention, unless otherwise clearly specified and limited, when a first feature is “on” or “below” a second feature, it may be that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, when a first feature is “above”, “above” or “above” a second feature, it may be that the first feature is directly above or obliquely above the second feature, or it may simply mean that the first feature is higher in level than the second feature. When a first feature is “below”, “below” or “below” a second feature, it may be that the first feature is directly below or obliquely below the second feature, or it may simply mean that the first feature is lower in level than the second feature.

[0188] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0189] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A variable lane and channelization optimization method, characterized in that: include: S110, judging the imbalance situation corresponding to each unit time in any day according to the historical flow data preset at any import and the first imbalance threshold; The imbalance conditions include: normal traffic, straight traffic far greater than left-turn traffic, or left-turn traffic far greater than straight traffic; S120, according to the imbalance situation, simulate lane switching of the entrance; the lane switching simulation is to simulate switching the flow direction of one lane in the entrance to another flow direction; the flow direction includes straight and left turn; the historical flow data includes the flow data of each unit time of the entrance within one month; S130, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the historical traffic data and the first imbalance threshold, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day; S140. Repeat steps S110 to S130 to obtain the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, and obtain lane optimization suggestions for the import within the next month based on the imbalance situation and reverse imbalance judgment result of each unit time of each day within a month, as well as the preset imbalance day ratio threshold and the preset lane reconstruction strategy.

2. The variable lane and channelization optimization method according to claim 1, characterized in that: The S11 includes: S110-1. Obtain a first imbalance coefficient corresponding to each unit time of any one day of the import according to the preset historical traffic data of any import and the preset formula 1; the historical traffic data includes the straight traffic and left turn traffic corresponding to each unit time of each day in the past month; The formula 1 is: Among them, μ i is the first imbalance coefficient corresponding to any unit time of the import within one day, q i1 is the straight flow rate corresponding to any unit time of the import in one day in the historical flow data, q i2 is the left-turn flow corresponding to any unit time of the entrance in a day in the historical flow data, c1 is the predetermined straight-through capacity of the entrance, and c2 is the predetermined left-turn capacity of the entrance; S110-2, judging whether the straight flow and the left-turn flow corresponding to each unit time in a day are unbalanced according to the first imbalance coefficient corresponding to each unit time in a day of the entrance and the preset first imbalance threshold; When the first imbalance coefficient μ corresponding to any unit time in a day i >ε, it is judged that a flow imbalance occurs in the unit time, and the straight flow is much larger than the left-turn flow; ε is the first imbalance threshold; When the first imbalance coefficient μ corresponding to any unit time in a day i <-ε, it is judged that there is a flow imbalance in this unit time, and the left-turn flow is much larger than the straight flow; When the first imbalance coefficient corresponding to any unit time in a day |μ i When |≤ε, the flow rate in this unit time is considered normal; Then the S120 includes: When a flow imbalance occurs at any unit time in a day, and the through flow is much larger than the left-turn flow, the left-turn lane at the entrance is simulated to be switched to the through lane within the unit time; When a traffic imbalance occurs at any unit time in a day, and the left-turn traffic is much larger than the through-traffic traffic, the through-traffic lane at the entrance is simulated to be switched to the left-turn lane within that unit time.

3. The variable lane and channelization optimization method according to claim 2 is characterized in that: The S130 includes: S130-1. Based on the historical traffic data and the preset formula 2, obtain the second imbalance coefficient corresponding to each unit time of the entrance in one day after the lane simulation conversion; the formula 2 is: Among them, μ' i K is the second imbalance coefficient corresponding to each unit time of the import within one day after the lane simulation conversion. i1 is the number of original through lanes at the entrance before the preset lane simulation switch, K i2 K' is the original left-turn lane number of the entrance before the preset lane simulation switch; i1 is the number of through lanes at the entrance after lane simulation switching, K' i2 The number of left-turn lanes at the entrance after lane simulation switching; S130-2, judging whether a reverse imbalance is caused in each unit time within one day after the lane simulation switching according to the first imbalance coefficient, the second imbalance coefficient and the first imbalance threshold corresponding to any unit time, and obtaining a reverse imbalance judgment result corresponding to each unit time within one day; When μ i >ε and μ' i <-ε, or μ i <-ε and μ' i When >ε, there is a reverse imbalance in this unit time, and there is no reverse imbalance in other cases.

4. The variable lane and channelization optimization method according to claim 3 is characterized in that: After S120 and before S130-1, the following further includes: S130-0, judging whether an abnormal lane number occurs according to the lane number after the lane switching simulation at the entrance; When the lane number of the straight lane or the left-turn lane is 0 after the lane simulation switching, it is determined that the lane number abnormality occurs after the lane simulation switching in the corresponding unit time, and the process jumps to S140; The reverse imbalance judgment result includes reverse imbalance, no reverse imbalance or abnormal lane number.

5. The variable lane and channelization optimization method according to claim 1, characterized in that: After S130 and before S140, the following further includes: When the imbalance situation corresponding to each unit time in any day and the reverse imbalance judgment result corresponding to each unit time in a day are obtained, the lane optimization suggestion for the entrance is obtained; When the through traffic volume is much larger than the left-turn traffic volume on any day, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a through lane; When the left-turn flow is much larger than the straight-ahead flow, and the sum of the unit time without reverse imbalance is greater than the preset first time threshold, the lane optimization suggestion for the entrance is output, that is, adding a left-turn lane.

6. The variable lane and channelization optimization method according to claim 1, characterized in that: The S140 includes: S140-1, repeating steps S110 to S130, obtaining the imbalance conditions and reverse imbalance judgment results for each unit time of each day in the past month; the reverse imbalance judgment results include reverse imbalance, no reverse imbalance or abnormal lane number; S140-2. According to the imbalance of each unit time of each day in the past month, count the number of days D1 when the straight flow is much larger than the left turn flow, the number of days D2 when the left turn flow is much larger than the straight flow, and the number of days D3 when the flow is normal for each unit time of each day in the past month; S140-3, based on the number of days D1 when the straight traffic volume is much larger than the left-turn traffic volume, the number of days D2 when the left-turn traffic volume is much larger than the straight traffic volume, and the number of days D3 when the traffic volume is normal for each unit time in a day in the past month, determine whether a lane optimization suggestion is needed for the unit time; When D max =D3, no lane optimization suggestion is required; When D max =D1, or D max = D2, then according to the number of days D1 when the straight traffic is much larger than the left-turn traffic, D2 when the left-turn traffic is much larger than the straight traffic, and D3 when the traffic is normal, as well as the preset imbalance days threshold and the reverse imbalance judgment results of each unit time of each day in the past month, it is judged whether lane optimization suggestions are needed; S140-4, when or , then lane optimization suggestions are needed for this unit time, and according to the imbalance situation and reverse imbalance judgment results in the past month of this unit time, as well as the preset imbalance day threshold, the lane optimization suggestions for this import in the future are obtained; the imbalance day threshold includes the first imbalance day threshold λ1.

7. The variable lane and channelization optimization method according to claim 6, characterized in that: The S140-4 includes: When D max =D1, and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed; When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a through lane; Otherwise, according to the reverse imbalance judgment results of each unit time of each day in the past month, the number of days M1 when reverse imbalance is caused by lane simulation modification when the straight flow is much larger than the left turn flow is counted, and according to the number of days M1 when reverse imbalance is caused by lane simulation modification when the straight flow is much larger than the left turn flow, and the number of days D1 when the straight flow is much larger than the left turn flow, the number of days D2 when the left turn flow is much larger than the straight flow, and the number of days D3 when the flow is normal in each unit time of one day in the past month, it is judged whether reverse imbalance will be caused after changing the lane; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a straight lane; Otherwise, according to the reverse imbalance judgment results of each unit time of each day in the past month, the number of days M2 without reverse imbalance caused by lane simulation reconstruction when the straight flow is much larger than the left turn flow is counted, and according to the number of days M2 without reverse imbalance caused by lane simulation reconstruction when the straight flow is much larger than the left turn flow, and the number of days D1 when the straight flow is much larger than the left turn flow, the number of days D2 when the left turn flow is much larger than the straight flow, and the number of days D3 with normal flow corresponding to each unit time of one day in the past month, it is judged whether to recommend setting up variable lanes; when When , a lane optimization suggestion is output, that is, a left-turn lane is set as a variable lane; the imbalance day threshold also includes a second imbalance day threshold λ2; When D max =D2, and When the time is 100, the imbalance of the unit time every day in the past month is used to determine whether channelization transformation is needed; When the imbalance situation of the unit time in the past month has an abnormal number of lanes, a lane optimization suggestion is output, that is, channelization is carried out to add a left-turn lane; Otherwise, according to the reverse imbalance judgment results of each unit time of each day in the past month, the number of days M3 of reverse imbalance caused by lane simulation modification when the left-turn flow is much larger than the straight-going flow is counted, and according to the number of days M3 of reverse imbalance caused by lane simulation modification when the left-turn flow is much larger than the straight-going flow, and the number of days D1 of straight-going flow much larger than left-turn flow, the number of days D2 of left-turn flow much larger than straight-going flow, and the number of days D3 of normal flow corresponding to each unit time of one day in the past month, it is judged whether reverse imbalance will be caused after changing lanes; when It is determined that changing lanes will cause reverse imbalance, and a lane optimization suggestion is output, that is, channelization is performed to add a left-turn lane; Otherwise, according to the reverse imbalance judgment results of each unit time of each day in the past month, the number of days M4 without reverse imbalance caused by lane simulation reconstruction when the left-turn flow is much larger than the straight-through flow is counted, and according to the number of days M4 without reverse imbalance caused by lane simulation reconstruction when the left-turn flow is much larger than the straight-through flow, and the number of days D1 when the straight-through flow is much larger than the left-turn flow, the number of days D2 when the left-turn flow is much larger than the straight-through flow, and the number of days D3 with normal flow corresponding to each unit time of one day in the past month, it is judged whether to recommend setting up variable lanes; when , then output a lane optimization suggestion, that is, set a straight lane as a variable lane.

8. The variable lane and channelization optimization method according to claim 1, characterized in that: The S110 also includes: S100, when each day within the past preset time ends, the traffic data of all the intersections in the preset road network on that day is obtained and saved in the historical traffic data; According to the entrance information of all intersections in the pre-set road network, determine whether the entrance is set with a variable lane. If a variable lane is set, the intersection is screened out; Based on the entrance information of all intersections in the road network after screening, it is determined whether the entrance has a separate left-turn flow direction and a straight-ahead flow direction. If not, the intersection is screened out.

9. The variable lane and channelization optimization method according to claim 1, characterized in that: The S140 further includes: S150. Repeat steps S110 to S140 until the lane optimization suggestions for each unit time at each entrance of all intersections in the road network are obtained in advance, and based on the lane optimization suggestions for each unit time at each entrance of all intersections in the road network, the lane optimization suggestions for each entrance by time period are aggregated and displayed, and adjacent unit times with the same lane optimization suggestions are aggregated into one time period, and the lane optimization suggestion plan for each entrance is output in days, and the lane optimization suggestion plan is a summary of the lane optimization suggestions for all unit times at any entrance within one day.

10. The variable lane and channelization optimization method according to claim 9, characterized in that: The S150 further includes: Before outputting the lane optimization suggestion plan for each entrance, check whether the lane optimization suggestions for each entrance in the pre-set road network are the same throughout the day. If they are the same, the data of the entrance is judged to be abnormal and the lane optimization suggestion plan is not output.

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