CN109631928B - Non-motor vehicle navigation method integrating comfort level and travel distance - Google Patents

Non-motor vehicle navigation method integrating comfort level and travel distance Download PDF

Info

Publication number
CN109631928B
CN109631928B CN201910095697.8A CN201910095697A CN109631928B CN 109631928 B CN109631928 B CN 109631928B CN 201910095697 A CN201910095697 A CN 201910095697A CN 109631928 B CN109631928 B CN 109631928B
Authority
CN
China
Prior art keywords
route
comfort level
motor vehicle
comfort
road
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910095697.8A
Other languages
Chinese (zh)
Other versions
CN109631928A (en
Inventor
赵顗
钱勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Forestry University
Original Assignee
Nanjing Forestry University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Forestry University filed Critical Nanjing Forestry University
Priority to CN201910095697.8A priority Critical patent/CN109631928B/en
Publication of CN109631928A publication Critical patent/CN109631928A/en
Application granted granted Critical
Publication of CN109631928B publication Critical patent/CN109631928B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3461Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3492Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Abstract

The invention provides a non-motor vehicle navigation method integrating comfort level and travel distance, which comprehensively considers various indexes influencing the comfort level of a non-motor vehicle, solves the relation between the integrated comfort level and the travel distance, and can recommend a non-motor vehicle navigation route with the overall relatively optimal comfort level and travel distance. The method comprises the following steps: firstly, determining alternative routes between starting and ending points; determining comfort level indexes and weights of all road sections forming each route according to a certain comfort level evaluation standard, and calculating the comfort level q of each road section; calculating the comfort level P of each route according to the comfort level q of each route and the percentage of the length of each route in the total length of each route; and (4) taking the product of the comfort level P of each route and the length S of the route as the impedance of each route, and deducing and selecting the optimal non-motor vehicle travel route with the minimum impedance value.

Description

Non-motor vehicle navigation method integrating comfort level and travel distance
Technical Field
The invention relates to a method for determining an optimal travel route of a non-motor vehicle according to different comfort levels and travel distances of different routes, belonging to the technical field of navigation.
Background
The existing non-motor vehicle navigation tools are more, and navigation software such as a high-grade map and a Baidu map can provide the non-motor vehicle navigation function. However, the existing navigation mode basically takes the shortest travel distance, the shortest travel time or the lowest travel expense as a navigation target, and does not consider the comfort degree of the travel route of the non-motor vehicle. This drawback may result in that the navigation recommended route for achieving the same trip purpose is the shortest travel distance, the shortest travel time, or the shortest travel cost, but the comfort level is very poor, and other routes with slightly higher travel distance, travel time, or travel cost are not recommended even if the comfort level is very high. Therefore, the invention provides a non-motor vehicle navigation method based on comprehensive comfort and travel distance.
Disclosure of Invention
The invention provides a non-motor vehicle navigation method integrating comfort level and travel distance, which takes the non-motor vehicle navigation method as a research object, comprehensively considers various indexes influencing the comfort level of the non-motor vehicle, solves the relation between the integration comfort level and the travel distance, and can recommend a non-motor vehicle navigation route with the overall relatively optimal comfort level and travel distance.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method of non-motor vehicle navigation integrating comfort and travel distance, comprising the steps of:
a. firstly, determining alternative routes between starting and ending points;
b. determining comfort level indexes and weights of all road sections forming each route according to a certain comfort level evaluation standard, and calculating the comfort level q of each road section;
c. calculating the comfort level P of each route according to the comfort level q of each route and the percentage of the length of each route in the total length of each route;
d. and (4) taking the product of the comfort level P of each route and the length S of the route as the impedance of each route, and deducing and selecting the optimal non-motor vehicle travel route with the minimum impedance value.
The invention has the beneficial effects that: the method not only takes the route length as the selection standard of the travel route, but also considers the comfort level index and the weight of each route forming each route and the percentage of each route length in each route length, and takes the comfort level index and the weight as the specific basis for judging and calculating the comfort level P of each route, has strong starting performance, and can recommend the route with comprehensive comfort level and travel distance for the travel of the non-motor vehicle.
Meanwhile, according to public travel habits, if the travel comfort level is high, the sensed travel distance will be shorter than the actual travel distance, whereas if the travel comfort level is low, the sensed travel distance will be longer than the actual travel distance. Therefore, as a further improvement to the above method for navigating a non-motor vehicle, after step c and before step d, there is a step d 0: determining a distance adjustment coefficient eta according to the comfort level P pair of each route; the better the comfort level is, the smaller the distance adjustment coefficient is, the worse the comfort level is, and the larger the distance adjustment coefficient is;
the step d is as follows: and (4) taking the product of the distance adjustment coefficient eta of each route and the length S of the route as the comprehensive impedance of each route, and selecting the optimal non-motor vehicle travel route with the minimum comprehensive impedance value.
Preferably, in step d0, the route comfort levels P are respectively 0.2, 0.4, 0.6, 0.8 and 1, and the corresponding distance adjustment coefficients η are respectively 1.4, 1.2, 1, 0.8 and 0.6.
That is to say, a distance adjustment coefficient eta is determined according to the comfort level P pair of each route, and the method of taking the magnitude of the comprehensive impedance as the optimal non-motor vehicle traveling route is adopted, so that the actual feeling of the non-motor vehicle traveling can be better met.
As a further improvement to the above method for navigating a non-motor vehicle, the method for calculating the road comfort level in step b is as follows:
road section comfort level q is equal to road self factor multiplied by 0.6+ road environment factor multiplied by 0.4
(road surface mass × 0.25+ road surface characteristic × 0.25+ lane grade × 0.25+ lane width × 0.25) × 0.6+ (non-motor vehicle flow × 0.6+ landscape × 0.4) × 0.4,
the pavement quality is divided into four grades, namely grade I, and the pavement is high in flatness and free of damage; level II, the road surface is flat and slightly damaged, but the driving is not influenced; grade III, the road surface is damaged more and uneven, and the driving comfort is influenced; grade IV, the road surface is seriously damaged and cannot normally pass; the pavement quality is I, II, III and IV grades, and the pavement quality values in the formula are 1, 0.6, 0.4 and 0 respectively;
for asphalt pavement, cement pavement and mud pavement, the pavement characteristic values in the formula are respectively 0.8, 0.6 and 0.4;
for the independent lane and the non-independent lane, the lane grade values in the formula are 0.8 and 0.2 respectively;
the lane widths are respectively 0.2, 0.6 and 0.9 under the condition that the lane widths are less than 1.5m, 1.5-3.0m and more than 3.0 m;
the flow saturation of the non-motor vehicles is 0-0.3, 0.3-0.6 and 0.6-1.0, and the flow values of the non-motor vehicles in the formula are 1, 0.5 and 0.1 respectively;
the landscape along the way is very rich, the landscape is along the way but not much, the landscape is along the way with little or no landscape, and the values of the landscape along the way in the formula are respectively 0.9, 0.6 and 0.4.
As a further improvement to the above-mentioned method for navigating a non-motor vehicle, in step c, the comfort level P of the route composed of n road segments is calculated as follows:
P=q 1 ×β 1 +q 2 ×β 2 +q 3 ×β 3 +···+q n ×β n
q i for the comfort of the ith road segment,
β i for the length S of the ith road section i The ratio in the path length S, i.e. beta i =S i /S;
S=S 1 +S 2 +S 3 +···+S n
i=1,2,3,···,n。
When the comfort level of the road section is calculated, the road self factors such as the road surface quality, the road surface characteristic, the lane grade, the lane width and the like are considered, the road environment factors such as the flow of non-motor vehicles, the landscape along the way and the like are also considered, the weight among different factors is further considered, the calculation of the comfort level of the road section is convenient, the method can be applied in practice, the comfort level evaluation is comprehensive, and the practical feeling of the travel of the non-motor vehicles is met.
Drawings
FIG. 1 is a schematic diagram of an alternative route;
FIG. 2 is a system of influencing non-motor vehicle navigation comfort indicators;
FIG. 3 is a travel route diagram of an embodiment;
FIG. 4 is a flowchart
Detailed Description
The present invention is further illustrated in the present section by way of examples, which are intended to be purely exemplary of the invention and are not intended to limit the scope of the invention, which is to be given the full breadth of the appended claims and any and all modifications thereof which may occur to one skilled in the art upon reading the present specification and which fall within the broad scope and range of equivalents of the claims appended hereto.
A non-motor vehicle navigation method integrating comfort level and travel distance comprises the steps of firstly determining alternative routes between starting and ending points, determining comfort level indexes and weights of all routes according to certain comfort level evaluation criteria so as to determine the comfort level, then determining the travel distance of each road section, secondly integrating the comfort level and the travel distance to form integrated impedance of each route, and finally selecting the optimal non-motor vehicle travel route according to the integrated impedance value.
The method comprises the following specific steps:
1. determining alternate routes between start and end points
Determining a plurality of alternative routes with the shortest travel distance from the starting point A to the end point B, and analyzing by taking two alternative routes, namely a selected route a and a selected route B as an example. Wherein the route a is represented by a 1 、a 2 、a 3 Three road sections, the route b is composed of b 1 、b 2 、b 3 、b 4 、b 5 Five road segments as shown in figure 1.
2. Determining comfort indicators and weights
And selecting indexes influencing the navigation comfort of the non-motor vehicle, and determining the weight of the indexes.
Four-level indexes in the pavement quality: grade I, the pavement is very high in flatness and free of damage; level II, the road surface is flat and slightly damaged, but the driving is not influenced; grade III, the road surface is damaged more and uneven, and the driving comfort is influenced; grade IV, the road surface is seriously damaged, and the vehicle cannot normally pass.
Three-level indexes in road surface characteristics: the comfort level of the asphalt pavement is high; the comfort level of the cement pavement is moderate; the dirt road surface has poor comfort.
The secondary indexes in the independent lane have the indexes of the independent lane, so that the comfort level is high; the comfort level is poor because of no independent lane.
Three-level indexes in lane width: below 1.5m, two non-motor vehicles have difficulty in running in parallel, and the driving comfort is influenced; 1.5-3.0m, the non-motor vehicle can normally pass through, and the comfort level is moderate; more than 3.0m, a plurality of non-motor vehicles can run in parallel, and the comfort level is high.
Three-level indexes in the flow of the non-motor vehicle: the non-motor vehicle with the flow saturation between 0 and 0.3 is in the open state; the non-motor vehicle slowly moves, and the non-motor vehicle slowly moves when the flow saturation degree is between 0.3 and 0.6; and congestion is realized when the saturation degree of the flow of the non-motor vehicles is between 0.6 and 1.0.
Three-level indexes in the landscape along the way: level I, the landscape along the way is very rich; level II, landscape exists along the way, but not much; class III, with little or no landscape along the way.
Specific indicator selection and weight assignment are shown in fig. 2.
Thus, the road comfort q
Road self factor x 0.6+ road environment factor x 0.4
Road quality × 0.25+ road characteristics × 0.25+ lane grade × 0.25+ lane width × 0.25) × 0.6+ (non-motor vehicle flow × 0.6+ landscape × 0.4) × 0.4 (1)
Wherein the comfort level of each road section in the route a is q a1 、q a2 、q a3
Comfort degree of each road section in the route b is q b1 、q b2 、q b3 、q b4 、q b5
3. Determining the length of each line and each road segment
The length of each road segment and the entire route can be determined by measurement, as shown in fig. 1.
Length S of route a a =S a1 +S a2 +S a3
Length S of route b b =S b1 +S b2 +S b3 +S b4 +S b5 (2)
4. The comprehensive comfort degree and the travel distance obtain the comprehensive impedance of each route
In order to comprehensively consider the comfort and the travel distance, the comfort and the travel distance need to be converted into values of the same dimension.
Firstly, the ratio of each path length in the whole trip line needs to be calculated:
in the route a and the route b, the proportion of each road section is respectively as follows:
Figure BDA0001964481370000041
β 3 =S a3 /(S a1 +S a2 +S a3 );
γ 1 =S b1 /(S b1 +S b2 +S b3 +S b4 +S b5 );
γ 2 =S b2 /(S b1 +S b2 +S b3 +S b4 +S b5 );
γ 3 =S b3 /(S b1 +S b2 +S b3 +S b4 +S b5 );
γ 4 =S b4 /(S b1 +S b2 +S b3 +S b4 +S b5 );
γ 5 =S b5 /(S b1 +S b2 +S b3 +S b4 +S b5 );
secondly, according to the comfort level of each section determined in the formula (1), the comfort level of the whole route is obtained as follows:
comfort Pa ═ q for route a a1 ×β 1 +q a2 ×β 2 +q a3 ×β 3
Comfort Pb ═ q for route b b1 ×γ 1 +q b2 ×γ 2 +q b3 ×γ 3 +q b4 ×γ 4 +q b5 ×γ 5 ; (4)
According to public trip habits, if the trip comfort level is high, the sensed trip distance is shorter than the actual trip distance, otherwise, if the trip comfort level is low, the sensed trip distance is longer than the actual trip distance. Therefore, the present invention proposes a distance adjustment coefficient η based on the comfort level of travel, which is smaller as the comfort level is higher, and which is shown in table 1.
TABLE 1 distance adjustment coefficient criteria
Comfort level 0.2 0.4 0.6 0.8 1
Coefficient of distance adjustment 1.4 1.2 1 0.8 0.6
When the public goes out, the public feels that the distance of the trip is the comprehensive impedance M of the route, and the calculation formula of the comprehensive impedance is as follows:
M a =S a ×η
M b =S b ×η (5)
5. determining optimal route for non-motor vehicle navigation
And according to the magnitude of the comprehensive impedance of the line a and the line b, selecting the line with the minimum comprehensive impedance value as a recommended line for the non-motor vehicle navigation.
A specific example is given below for further explanation.
1. Determining alternate routes between start and end points
Determining two alternative routes with the shortest travel distance from the starting point A to the end point B: route a and route b are analyzed as examples. The route a is composed of three links of a 1-300 m, a 2-100 m and a 3-100 m, and the route b is composed of five links of b 1-150 m, b 2-150 m, b 3-50 m, b 4-50 m and b 5-100 m, as shown in fig. 3.
2. Determining comfort indicators and weights
First, the comfort index and the weight are determined according to the above detailed step 2, see fig. 2.
Secondly, according to the basic conditions of the links of the route a and the route b obtained by measurement and observation, the corresponding weights are converted into the following values according to a comparison chart 2:
road segment a 1: road surface quality, grade ii (0.6); pavement properties, asphalt pavement (0.8); lane grade, with independent lanes (0.8); lane width, 1.5-3.0m (0.9); the flow of the non-motor vehicle is smooth (1); landscape along the way, level II (0.6);
road segment a 2: road surface quality, grade iii (0.4); pavement properties, cement pavement (0.6); lane grade, with independent lanes (0.8); lane width, 1.5m or less (0.2); non-motor vehicle flow, creep (0.5); landscape along the way, level II (0.6);
road segment a 3: pavement quality, grade i (1); pavement properties, cement pavement (0.6); lane grade, with independent lanes (0.8); lane width, 1.5-3.0m (0.9); the flow of the non-motor vehicle is smooth (1); landscape along the way, level II (0.6);
road segment b 1: road surface quality, grade ii (0.6); pavement properties, cement pavement (0.6); lane grade, no independent lane (0.2); lane width, 1.5m or less (0.2); non-motor traffic, congestion (0.1); landscape along the way, class iii (0.4);
section b 2: pavement quality, grade i (1); pavement properties, asphalt pavement (0.8); lane grade, with independent lanes (0.8); lane width, 3.0m or more (0.9); the flow of the non-motor vehicle is smooth (1); landscape along the way, level II (0.6);
section b 3: pavement quality, grade i (1); pavement properties, asphalt pavement (0.8); lane grade, with independent lanes (0.8); lane width, 1.5-3.0m (0.9); the flow of the non-motor vehicle is smooth (1); landscape along the way, level I (0.9);
section b 4: road surface quality, grade ii (0.6); pavement properties, cement pavement (0.6); lane grade, with independent lanes (0.8); lane width, 1.5-3.0m (0.9); non-motor traffic, congestion (0.1); landscape along the way, level II (0.6);
road segment b 5: road surface quality, grade iii (0.4); pavement properties, cement pavement (0.6); lane grade, no independent lane (0.2); lane width, 1.5-3.0m (0.9); non-motor traffic, congestion (0.1); landscape along the way, class iii (0.4);
finally, the comfort q of each section of the route a and the route b is determined as follows:
road section comfort level q is road self factor multiplied by 0.6+ road environment factor multiplied by 0.4
(road surface mass × 0.25+ road surface characteristic × 0.25+ lane grade × 0.25+ lane width × 0.25) × 0.6+ (non-motor vehicle flow × 0.6+ landscape along × 0.4) × 0.4 ×
Comfort q of route section a1 a1 =((0.6+0.8+0.8+0.9)×0.25)×0.6+((1×0.6+0.6×0.4))×0.4=0.801
Comfort q of route a2 a2= ((0.4+0.6+0.8+0.2)×0.25)×0.6+((0.5×0.6+0.6×0.4))×0.4=0.516
The following calculation methods are the same and no specific calculation formula is listed.
Comfort q of route a3 a3 =0.831
Comfort q of road section b1 b1 =0.328
Comfort q of road section b2 b2 =0.861
Comfort q of road section b3 b3 =0.909
Comfort q of road section b4 b4 =0.555
Comfort q of road section b5 b5 =0.403
3. Determining distance per road segment
The a in the route a can be obtained by measurement 1 =300m、a 2 =100m、a 3 100m, route b 1 =150m、b 2 =150m、b 3 =50m、b 4 =50m、b 5 100m as shown in fig. 3.
4. Obtaining the evaluation standard of the navigation comfort of the non-motor vehicle by integrating the comfort and the travel distance
Firstly, calculating the ratio of the lengths of the routes a and b in the whole travel route:
β 1 =S a1 /(S a1 +S a2 +S a3 )=0.6;
β 2 =S a2 /(S a1 +S a2 +S a3 )=0.2;
β 3 =S a3 /(S a1 +S a2 +S a3 )=0.2;
γ 1 =S b1 /(S b1 +S b2 +S b3 +S b4 +S b5 )=0.3;
γ 2 =S b2 /(S b1 +S b2 +S b3 +S b4 +S b5 )=0.3;
γ 3 =S b3 /(S b1 +S b2 +S b3 +S b4 +S b5 )=0.1;
γ 4 =S b4 /(S b1 +S b2 +S b3 +S b4 +S b5 )=0.1;
γ 5 =S b5 /(S b1 +S b2 +S b3 +S b4 +S b5 )=0.2;
secondly, the comfort of the whole route is obtained according to the formula (4), as follows:
comfort Pa ═ q for route a a1 ×β 1 +q a2 ×β 2 +q a3 ×β 3
=0.801×0.6+0.516×0.2+0.831×0.2=0.75;
Comfort Pb of route b q b1 ×γ 1 +q b2 ×γ 2 +q b3 ×γ 3 +q b4 ×γ 4 +q b5 ×γ 5
=0.328×0.3+0.861×0.3+0.909×0.1+0.555×0.1+0.403×0.2=0.5837;
Finally, the distance adjustment coefficient η and the comprehensive impedance M are determined according to table 1:
the adjustment coefficient eta of the route a can be found by interpolation from Table 1 a =0.85
Adjustment coefficient eta of route b b =1.0163
Calculating the integrated impedance according to equation (5):
M a =S a ×η=(300+100+100)×0.85=425
M b =S b ×η=(150+150+50+50+100)×1.0163=508.15
5. determining optimal non-motor vehicle navigation route
And according to the magnitude of the comprehensive impedance of the line a and the line b, selecting the line with the minimum comprehensive impedance value as a recommended line for the non-motor vehicle navigation.
M a =425<M b =508.15
Thus, the recommended route for non-motor vehicle navigation is route a.
The general flow of the method is shown in fig. 4.
The comfort level index and the weight of each route are determined according to a certain comfort level evaluation standard, so that the comfort level of a road section is determined, an index system influencing the navigation comfort level of the non-motor vehicle is established, a first-level index is divided into factors of the road and factors of the road environment, a second-level index is divided into road surface quality, road surface characteristics, lane grade, lane width, non-motor vehicle flow and landscape along the way, and a third-level index is divided into indexes which can be quantized and are convenient to measure and calculate. And determining a distance adjustment coefficient according to the comfort level of the route, calculating the comprehensive impedance of different routes, and selecting the route with the minimum comprehensive impedance value as a recommended route for the navigation of the non-motor vehicle.

Claims (4)

1. A method for non-motor vehicle navigation integrating comfort and travel distance is characterized in that: the method comprises the following steps:
a. firstly, determining alternative routes between starting and ending points;
b. determining comfort level indexes and weights of all road sections forming each route according to a certain comfort level evaluation standard, and calculating the comfort level q of each road section;
c. calculating the comfort level P of each route according to the comfort level q of each route and the percentage of the length of each route in the length of each route;
d 0: determining a distance adjustment coefficient eta according to the comfort level P pair of each route; the better the comfort level is, the smaller the distance adjustment coefficient is, the worse the comfort level is, and the larger the distance adjustment coefficient is;
d. and (4) taking the product of the distance adjustment coefficient eta of each route and the length S of the route as the comprehensive impedance of each route, and selecting the optimal non-motor vehicle travel route with the minimum comprehensive impedance value.
2. The method of non-motor vehicle navigation according to claim 1, wherein: in step d0, the route comfort levels P are respectively 0.2, 0.4, 0.6, 0.8, and 1, and the corresponding distance adjustment coefficients η are respectively 1.4, 1.2, 1, 0.8, and 0.6.
3. A method of navigating a non-motor vehicle according to claim 1 or 2, wherein: the road section comfort degree calculation method in the step b is as follows:
road section comfort level q is equal to road self factor multiplied by 0.6+ road environment factor multiplied by 0.4
(road surface mass × 0.25+ road surface characteristic × 0.25+ lane grade × 0.25+ lane width × 0.25) × 0.6+ (non-motor vehicle flow × 0.6+ landscape × 0.4) × 0.4,
the pavement quality is divided into four grades, namely grade I, and the pavement is high in flatness and free of damage; level II, the road surface is smooth and has little damage, but the driving is not influenced; grade III, the road surface is damaged more and uneven, and the driving comfort is influenced; grade IV, the road surface is seriously damaged and cannot pass normally; the pavement quality is I, II, III and IV grades, and the pavement quality values in the formula are 1, 0.6, 0.4 and 0 respectively;
for asphalt pavement, cement pavement and dirt pavement, the values of the pavement characteristics in the formula are respectively 0.8, 0.6 and 0.4;
for the independent lane and the non-independent lane, the lane grade values in the formula are 0.8 and 0.2 respectively;
the lane widths are respectively 0.2, 0.6 and 0.9 for the lane widths below 1.5m, 1.5-3.0m and above 3.0 m;
the flow saturation of the non-motor vehicles is 0-0.3, 0.3-0.6 and 0.6-1.0, and the flow values of the non-motor vehicles in the formula are 1, 0.5 and 0.1 respectively;
the landscape along the way is very rich, the landscape is not much but not much along the way, and the landscape along the way has little or no landscape, and the values of the landscape along the way in the formula are respectively 0.9, 0.6 and 0.4.
4. The method of non-motor vehicle navigation according to claim 3, wherein: in step c, the comfort level P of the route composed of n road segments is calculated as follows:
P=q 1 ×β 1 +q 2 ×β 2 +q 3 ×β 3 +···+q n ×β n
q i for the comfort of the ith road segment,
β i for the length S of the ith road section i The ratio in the path length S, i.e. beta i =S i /S;
S=S 1 +S 2 +S 3 +···+S n
i=1,2,3,···,n。
CN201910095697.8A 2019-01-31 2019-01-31 Non-motor vehicle navigation method integrating comfort level and travel distance Active CN109631928B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910095697.8A CN109631928B (en) 2019-01-31 2019-01-31 Non-motor vehicle navigation method integrating comfort level and travel distance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910095697.8A CN109631928B (en) 2019-01-31 2019-01-31 Non-motor vehicle navigation method integrating comfort level and travel distance

Publications (2)

Publication Number Publication Date
CN109631928A CN109631928A (en) 2019-04-16
CN109631928B true CN109631928B (en) 2022-08-26

Family

ID=66064379

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910095697.8A Active CN109631928B (en) 2019-01-31 2019-01-31 Non-motor vehicle navigation method integrating comfort level and travel distance

Country Status (1)

Country Link
CN (1) CN109631928B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111288994B (en) * 2020-02-25 2021-09-21 华南理工大学 Urban walking path planning method based on walking comfort level of unit distance
CN112556712A (en) * 2020-12-04 2021-03-26 东南大学 Bicycle path calculation method and system device based on road safety impedance calculation
CN115376349A (en) * 2022-08-22 2022-11-22 南京林业大学 Method for selecting vehicle running path integrating comfort, safety, time and distance

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007187514A (en) * 2006-01-12 2007-07-26 Honda Motor Co Ltd Navigation server and navigation apparatus
CN101349566A (en) * 2007-07-19 2009-01-21 康佳集团股份有限公司 Method and system for vehicle real time navigation
CN101645200A (en) * 2009-08-19 2010-02-10 深圳华为通信技术有限公司 Navigation path selecting method and device
CN102128629A (en) * 2010-01-13 2011-07-20 华为技术有限公司 Path planning method, navigation system and geographical information system
CN106248096A (en) * 2016-09-29 2016-12-21 百度在线网络技术(北京)有限公司 The acquisition methods of road network weight and device
CN106779492A (en) * 2017-01-20 2017-05-31 石家庄铁道大学 A kind of urban road network asset evaluation method
CN107490383A (en) * 2017-08-09 2017-12-19 百度在线网络技术(北京)有限公司 The service providing method of path health and fitness information, server and computer-readable recording medium in navigation
CN107908643A (en) * 2017-09-30 2018-04-13 百度在线网络技术(北京)有限公司 Recommendation method, server apparatus and the computer-readable medium of guidance path
CN108592931A (en) * 2018-04-27 2018-09-28 福州大学 A method of providing guidance path according to human comfort
CN108629975A (en) * 2018-05-24 2018-10-09 北京交通大学 The quality evaluating method of freeway traffic flow data

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5892004B2 (en) * 2012-08-29 2016-03-23 アイシン・エィ・ダブリュ株式会社 Route search system, route search device, route search method, and computer program

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007187514A (en) * 2006-01-12 2007-07-26 Honda Motor Co Ltd Navigation server and navigation apparatus
CN101349566A (en) * 2007-07-19 2009-01-21 康佳集团股份有限公司 Method and system for vehicle real time navigation
CN101645200A (en) * 2009-08-19 2010-02-10 深圳华为通信技术有限公司 Navigation path selecting method and device
CN102128629A (en) * 2010-01-13 2011-07-20 华为技术有限公司 Path planning method, navigation system and geographical information system
CN106248096A (en) * 2016-09-29 2016-12-21 百度在线网络技术(北京)有限公司 The acquisition methods of road network weight and device
CN106779492A (en) * 2017-01-20 2017-05-31 石家庄铁道大学 A kind of urban road network asset evaluation method
CN107490383A (en) * 2017-08-09 2017-12-19 百度在线网络技术(北京)有限公司 The service providing method of path health and fitness information, server and computer-readable recording medium in navigation
CN107908643A (en) * 2017-09-30 2018-04-13 百度在线网络技术(北京)有限公司 Recommendation method, server apparatus and the computer-readable medium of guidance path
CN108592931A (en) * 2018-04-27 2018-09-28 福州大学 A method of providing guidance path according to human comfort
CN108629975A (en) * 2018-05-24 2018-10-09 北京交通大学 The quality evaluating method of freeway traffic flow data

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
不同需求影响下的自行车出行路径规划方法;何凡等;《通信息与安全》;20171028;第35卷(第5期);106-114 *
个性化骑行线路优化技术;张敬等;《华北理工大学学报(自然科学版)》;20180725;第40卷(第3期);65-72 *
何少辰.城市居民自行车出行行为路径导向优化.《计算机仿真》.2018,第35卷(第7期),422-425. *
公路行车广义舒适度评价指标体系研究;王海涛等;《公路》;20150630(第10期);174-180 *
基于OpenStreetMap的城市自行车网建模与多判据路径规划;宋青等;《交通运输系统工程与信息》;20170615;第17卷(第3期);143-148 *
面向驾驶员个性化需求的动态路径诱导方法;龙琼等;《中南大学学报(自然科学版) 》;20130526;第44 卷(第5 期);2129-2124 *

Also Published As

Publication number Publication date
CN109631928A (en) 2019-04-16

Similar Documents

Publication Publication Date Title
CN109631928B (en) Non-motor vehicle navigation method integrating comfort level and travel distance
CN110126841B (en) Pure electric vehicle energy consumption model prediction method based on road information and driving style
CN103366557B (en) Traffic congestion evaluation method based on congestion index
CN112201038B (en) Road network risk assessment method based on risk of bad driving behavior of single vehicle
CN109900292B (en) Motor vehicle navigation method integrating comfort level and travel distance
CN102288193B (en) Motor vehicle travel route determination method based on historical data
CN111081019B (en) Road network traffic running condition evaluation method based on road segment weight coefficient
US20110106419A1 (en) Methods for reducing the consumption and cost of fuel
JP5017437B2 (en) TRAVEL TIME ESTIMATION METHOD, TRAVEL TIME ESTIMATION DEVICE, TRAVEL TIME ESTIMATION PROGRAM IMPLEMENTING THE METHOD AND MEDIUM CONTAINING THE PROGRAM, TRAVEL TIME PREDICTION METHOD, TRAVEL TIME PREDICTION DEVICE, TRAVEL TIME PREDICTION PROGRAM INCLUDING THE METHOD, AND ITS PROGRAM Stored media
JP2008309789A (en) Traffic information providing system and method for generating traffic information
CN114925483A (en) Carbon emission measuring method for urban traffic network
JP4003827B2 (en) Road surface property estimation method and system using traffic detector
Ding et al. Trip-based explanatory variables for estimating vehicle fuel consumption and emission rates
CN108389404B (en) Road traffic jam treatment method
Cunha et al. Truck equivalence factors for divided, multilane highways in Brazil
CN108171975B (en) Urban automobile running speed prediction method based on road section and intersection distribution
CN105139640A (en) Length optimization method for express lane intersection area
CN109900291A (en) A kind of motor vehicle navigation method of general safety and travel time
CN114842641B (en) Multi-mode chain traffic distribution method for province domain
JP3951828B2 (en) Road shape estimation device
Sahlholm et al. Piecewise linear road grade estimation
Zunhwan et al. Development of a new highway capacity estimation method
CN107392373B (en) Linear index selection and optimization method based on sensitivity analysis and driving safety
CN109520517B (en) Route planning method and system
CN112330516A (en) Method and device for generating road surface maintenance plan

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant