CN113048996B - Dangerous chemical road transportation driver portrait generation method based on position data - Google Patents
Dangerous chemical road transportation driver portrait generation method based on position data Download PDFInfo
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- CN113048996B CN113048996B CN202110191828.XA CN202110191828A CN113048996B CN 113048996 B CN113048996 B CN 113048996B CN 202110191828 A CN202110191828 A CN 202110191828A CN 113048996 B CN113048996 B CN 113048996B
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- 239000000126 substance Substances 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000032258 transport Effects 0.000 claims description 17
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000012384 transportation and delivery Methods 0.000 claims description 3
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 description 3
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 description 3
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 3
- YXFVVABEGXRONW-UHFFFAOYSA-N Toluene Chemical compound CC1=CC=CC=C1 YXFVVABEGXRONW-UHFFFAOYSA-N 0.000 description 3
- KBPLFHHGFOOTCA-UHFFFAOYSA-N 1-Octanol Chemical compound CCCCCCCCO KBPLFHHGFOOTCA-UHFFFAOYSA-N 0.000 description 2
- KAKZBPTYRLMSJV-UHFFFAOYSA-N Butadiene Chemical compound C=CC=C KAKZBPTYRLMSJV-UHFFFAOYSA-N 0.000 description 2
- LRHPLDYGYMQRHN-UHFFFAOYSA-N N-Butanol Chemical compound CCCCO LRHPLDYGYMQRHN-UHFFFAOYSA-N 0.000 description 2
- ISWSIDIOOBJBQZ-UHFFFAOYSA-N Phenol Chemical compound OC1=CC=CC=C1 ISWSIDIOOBJBQZ-UHFFFAOYSA-N 0.000 description 2
- PPBRXRYQALVLMV-UHFFFAOYSA-N Styrene Chemical compound C=CC1=CC=CC=C1 PPBRXRYQALVLMV-UHFFFAOYSA-N 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- IAYPIBMASNFSPL-UHFFFAOYSA-N Ethylene oxide Chemical compound C1CO1 IAYPIBMASNFSPL-UHFFFAOYSA-N 0.000 description 1
- CTQNGGLPUBDAKN-UHFFFAOYSA-N O-Xylene Chemical compound CC1=CC=CC=C1C CTQNGGLPUBDAKN-UHFFFAOYSA-N 0.000 description 1
- IKHGUXGNUITLKF-XPULMUKRSA-N acetaldehyde Chemical compound [14CH]([14CH3])=O IKHGUXGNUITLKF-XPULMUKRSA-N 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 231100000481 chemical toxicant Toxicity 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 239000002283 diesel fuel Substances 0.000 description 1
- -1 ethylene, propylene, 1-butene Chemical class 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000003502 gasoline Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 230000000607 poisoning effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 239000003440 toxic substance Substances 0.000 description 1
- 238000011282 treatment Methods 0.000 description 1
- 239000008096 xylene Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
Abstract
The invention provides a dangerous chemical road transportation driver portrait generating method based on position data, which comprises the following steps: each time a transportation driver carries dangerous chemicals, a preset driving route is planned in advance; the method comprises the steps that when a transport driver carries dangerous chemicals each time, the position of the transport vehicle is obtained in real time, and an actual driving route when the transport driver carries dangerous chemicals each time is generated; comparing deviation information of an actual driving route and a preset driving route in the process of transporting dangerous chemicals each time by a transportation driver, wherein the deviation information at least comprises the number of deviations of the route in the process of transporting dangerous chemicals each time and the distance of a deviation road section corresponding to each deviation; calculating the average deviation rate and the average route deviation times of the transportation driver when transporting the dangerous chemicals, evaluating the driving habit of the transportation driver for transporting the dangerous chemicals, and establishing the representation of the transportation driver. The invention provides a dangerous chemical road transportation driver portrait generating method based on position data.
Description
Technical Field
The invention relates to the field of road transportation of dangerous chemicals. More particularly, the present invention relates to a method for creating an image of a driver of road transportation of dangerous chemicals based on location data.
Background
Dangerous chemicals are highly toxic chemicals and other chemicals which have the properties of poisoning, corrosion, explosion, combustion supporting and the like and are harmful to human bodies, facilities and environment. The main dangerous chemicals involved in road transportation of the common petrochemical industry product transportation, china Petroleum transportation Limited company, comprise: gasoline, diesel oil, crude oil, petroleum asphalt, pure benzene, etc. The main varieties of organic raw materials produced by China Petroleum and Natural gas group Co., ltd are: 15 of ethylene, propylene, 1-butene, butadiene, toluene, xylene, methanol, butanol, octanol, ethylene oxide, acetaldehyde, styrene, phenol, acetone, naphtha, etc. The above 20 dangerous chemicals are easy to leak once accidents occur, and pollute the surrounding environment. The current road transportation of dangerous chemicals has higher requirements for transportation drivers, but part of transportation drivers cannot be prevented from running according to a specified route when the dangerous chemicals are transported.
Disclosure of Invention
The invention aims to provide a dangerous chemical road transportation driver portrait generating method based on position data.
To achieve these objects and other advantages and in accordance with the purpose of the invention, there is provided a dangerous chemical road transportation driver portrayal generating method based on location data, comprising the steps of:
each time a transportation driver carries dangerous chemicals, a preset driving route is planned in advance;
the method comprises the steps that when a transport driver carries dangerous chemicals each time, the position of the transport vehicle is obtained in real time, and an actual driving route when the transport driver carries dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in the process of transporting dangerous chemicals each time by a transportation driver, wherein the deviation information at least comprises the number of deviations of the route in the process of transporting dangerous chemicals each time and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times of the transportation driver when transporting the dangerous chemicals, evaluating the driving habit of the transportation driver for transporting the dangerous chemicals, and establishing the representation of the transportation driver.
Preferably, in the method for generating an image of a driver for road transportation of dangerous chemicals based on position data, the method for calculating the average deviation rate when the driver transports the dangerous chemicals is as follows:
wherein S is i ' is the sum of the distances of the deviation road sections in the ith transportation of dangerous chemicals by the transportation driver; s is S i The ith transport route of dangerous chemicals for the transportation driver; n is the number of dangerous chemical deliveries.
Preferably, in the method for generating the image of the dangerous chemical road transportation driver based on the position data, the image of the transportation driver further comprises overspeed information, fatigue driving information and emergency alarm information when the transportation driver transports the dangerous chemical.
Preferably, in the method for generating an image of a dangerous chemical road transportation driver based on position data, the deviation information further includes road condition information of each deviation road section and road condition information of a predetermined road section in a predetermined driving route replaced by each deviation road section, and when the driving habit of the transportation driver for transporting dangerous chemicals is evaluated, if the road condition information of any deviation road section is better than the road condition information of the predetermined road section in the predetermined driving route replaced by the deviation road section, the deviation road section is removed from the deviation information.
Preferably, in the method for generating an image of a driver for road transportation of dangerous chemicals based on position data, the passing weight of each deviation road section is calculated according to the road condition information of each deviation road section, and the passing weight of each preset road section is calculated according to the road condition information of each preset road section, and if the passing weight of any deviation road section is smaller than the passing weight of the corresponding preset road section, the deviation road section is removed from the deviation information.
Preferably, in the method for generating an image of a driver of a dangerous chemical road transportation based on position data, the road condition information of each deviation road section includes the length, the passing time and the passing cost of the road section, and the calculation method of the passing weight of the deviation road section is as follows:
C 1 ＝W a ×L 1 +W b ×T 1 +W c ×Q 1 (2)
wherein C is 1 The traffic weight of the deviation road section; w (W) a The length weight of the deviation road section; l (L) 1 Is the length of the deviated road section; w (W) b Time weight for the deviated road section; t (T) 1 The transit time of the deviated road section; w (W) c The traffic weight of the deviation road section; q (Q) 1 The traffic cost of the deviated road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section is as follows:
C 2 ＝W d ×L 2 +W e ×T 2 +W f ×Q 2 (3)
wherein C is 2 The traffic weight of the predetermined road section; w (W) d A length weight for a predetermined road segment; l (L) 2 Is the length of a predetermined road segment; w (W) e Time weight for a predetermined road segment; t (T) 2 The estimated passing time is the estimated passing time of the preset road section; w (W) f A traffic weight for a predetermined road section; q (Q) 2 Is estimated toll for a predetermined road segment.
Preferably, in the method for generating an image of a driver on a dangerous chemical road transportation based on position data, if any one of the deviation road sections is located in a non-downtown area, the passing time of the deviation road section is smaller than the passing time of the corresponding predetermined road section, and the corresponding predetermined road section is located in a downtown area, the deviation road section is removed from the deviation information.
Preferably, in the method for generating an image of a driver for road transportation of dangerous chemicals based on position data, the road condition information of each predetermined road section includes real-time traffic conditions of the road section when the vehicle passes through the corresponding deviation road section, and if any deviation road section is located in a non-downtown area, the corresponding predetermined road section is located in the downtown area and traffic jam occurs, the deviation road section is removed from the deviation information.
Preferably, in the method for generating an image of a driver of a dangerous chemical road transportation based on position data, if any one of the deviation road sections is removed from the deviation information three times, the deviation road section is replaced with the corresponding predetermined road section.
The image generation method of dangerous chemical road transportation drivers based on the position data carries out comprehensive transportation risk assessment on transportation drivers so as to carry out relevant treatments such as dispatching, transportation service training and the like on the transportation drivers in time, thereby minimizing the risk of dangerous chemical road transportation safety
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Detailed Description
The present invention is described in further detail below with reference to examples to enable those skilled in the art to practice the same by referring to the description.
The embodiment of the invention provides a dangerous chemical road transportation driver portrait generating method based on position data, which comprises the following steps:
each time a transportation driver carries dangerous chemicals, a preset driving route is planned in advance;
the method comprises the steps that when a transport driver carries dangerous chemicals each time, the position of the transport vehicle is obtained in real time, and an actual driving route when the transport driver carries dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in the process of transporting dangerous chemicals each time by a transportation driver, wherein the deviation information at least comprises the number of deviations of the route in the process of transporting dangerous chemicals each time and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times of the transportation driver when transporting the dangerous chemicals, evaluating the driving habit of the transportation driver for transporting the dangerous chemicals, and establishing the representation of the transportation driver;
the calculation method of the average deviation rate when the transportation driver transports dangerous chemicals is as follows:
wherein S is i ' is the sum of the distances of the deviation road sections in the ith transportation of dangerous chemicals by the transportation driver; s is S i The ith transport route of dangerous chemicals for the transportation driver; n is the number of dangerous chemical deliveries.
In the embodiment, after obtaining deviation information of an actual driving route and a preset driving route in the process of transporting dangerous chemicals each time by a transportation driver, calculating average deviation rate and average route deviation times when the transportation driver transports dangerous chemicals, limiting the average deviation rate and the average route deviation times of the transportation driver in advance, carrying out punishment or rewarding to different degrees on different levels, simultaneously establishing an image of the transportation driver, and enabling a transportation driver dispatching commander to easily know driving habits and illegal risks of the transportation driver to analyze and dispatch the transportation driver.
Preferably, as another embodiment of the present invention, the driver portrait further includes overspeed information, fatigue driving information and emergency warning information for calculating when the driver delivers dangerous chemicals.
Preferably, as another embodiment of the present invention, the deviation information further includes road condition information of each deviation road section and road condition information of a predetermined road section in a predetermined driving route replaced by each deviation road section, and when evaluating driving habits of a transportation driver for transporting dangerous chemicals, if the road condition information of any deviation road section is better than the road condition information of the predetermined road section in the predetermined driving route replaced by the deviation road section, the deviation road section is removed from the deviation information;
specifically, the passing weight of each deviation road section is calculated according to the road condition information of each deviation road section, meanwhile, the passing weight of each preset road section is calculated according to the road condition information of each preset road section, and if the passing weight of any deviation road section is smaller than the passing weight of the corresponding preset road section, the deviation road section is removed from the deviation information;
the road condition information of each deviation road section comprises the length, the passing time and the passing cost of the road section, and the calculation method of the passing weight of the deviation road section is as follows:
C 1 ＝W a ×L 1 +W b ×T 1 +W c ×Q 1 (2)
wherein C is 1 The traffic weight of the deviation road section; w (W) a The length weight of the deviation road section; l (L) 1 Is the length of the deviated road section; w (W) b Time weight for the deviated road section; t (T) 1 The transit time of the deviated road section; w (W) c The traffic weight of the deviation road section; q (Q) 1 The traffic cost of the deviated road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section is as follows:
C 2 ＝W d ×L 2 +W e ×T 2 +W f ×Q 2 (3)
wherein C is 2 The traffic weight of the predetermined road section; w (W) d A length weight for a predetermined road segment; l (L) 2 Is the length of a predetermined road segment; w (W) e Time weight for a predetermined road segment; t (T) 2 For the estimated passing time of the preset road section, the real-time traffic road condition can be obtained according to the mobile phone navigation software to obtain T 2 ；W f A traffic weight for a predetermined road section; q (Q) 2 Is estimated toll for a predetermined road segment.
In addition, if any deviation road section is located in the downtown area, the passing time of the deviation road section is smaller than the passing time of the corresponding preset road section, and the corresponding preset road section is located in the downtown area, the deviation road section is removed from the deviation information; the road returning information of each preset road section comprises real-time traffic conditions of the road section when the vehicle passes through the corresponding deviation road section, and if any deviation road section is positioned in a non-downtown area, the corresponding preset road section is positioned in the downtown area and traffic jam occurs, the deviation road section is removed from the deviation information.
Preferably, as another embodiment of the present invention, if any deviation road segment is removed from the deviation information three times, it is indicated that the predetermined road segment corresponding to the deviation road segment is unreasonable to plan, and the deviation road segment should be replaced with the corresponding predetermined road segment to optimize the predetermined route.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown, it is well suited to various fields of use for which the invention is suited, and further modifications may be readily made by one skilled in the art, and the invention is therefore not to be limited to the particular details and examples shown and described herein, without departing from the general concepts defined by the claims and the equivalents thereof.
Claims (8)
1. The dangerous chemical road transportation driver portrait generating method based on the position data is characterized by comprising the following steps:
each time a transportation driver carries dangerous chemicals, a preset driving route is planned in advance;
the method comprises the steps that when a transport driver carries dangerous chemicals each time, the position of the transport vehicle is obtained in real time, and an actual driving route when the transport driver carries dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in the process of transporting dangerous chemicals each time by a transportation driver, wherein the deviation information at least comprises the number of deviations of the route in the process of transporting dangerous chemicals each time and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times of the transportation driver when transporting the dangerous chemicals, evaluating the driving habit of the transportation driver for transporting the dangerous chemicals, and establishing the representation of the transportation driver;
the calculation method of the average deviation rate when the transportation driver transports dangerous chemicals is as follows:
wherein S is i ' is the sum of the distances of the deviation road sections in the ith transportation of dangerous chemicals by the transportation driver; s is S i The ith transport route of dangerous chemicals for the transportation driver; n is the number of dangerous chemical deliveries.
2. The method for generating a representation of a dangerous chemical roadway transportation driver based on location data of claim 1, wherein said representation of the transportation driver further comprises calculating overspeed information, fatigue driving information and emergency alert information when the transportation driver is transporting the dangerous chemical.
3. The method for creating an image of a dangerous chemical road transportation driver based on position data according to claim 1, wherein the deviation information further comprises road condition information of each deviation road section and road condition information of a predetermined road section in a predetermined travel route replaced by each deviation road section, and when the driving habit of the transportation driver for transporting the dangerous chemical is evaluated, if the road condition information of any deviation road section is better than the road condition information of the predetermined road section in the predetermined travel route replaced by the deviation road section, the deviation road section is removed from the deviation information.
4. The method for creating an image of a driver on a dangerous chemical road transportation based on position data according to claim 3, wherein the passing weight of each deviation road section is calculated according to the road condition information of each deviation road section, and the passing weight of each preset road section is calculated according to the road condition information of each preset road section, and if the passing weight of any deviation road section is smaller than the passing weight of the corresponding preset road section, the deviation road section is removed from the deviation information.
5. The method for creating an image of a driver on a dangerous chemical road transportation based on position data as set forth in claim 4, wherein the road condition information of each deviation road section includes the length, the passing time and the passing cost of the road section, and the calculation method of the passing weight of the deviation road section is as follows:
C 1 ＝W a ×L 1 +W b ×T 1 +W c ×Q 1 (2)
wherein C is 1 The traffic weight of the deviation road section; w (W) a The length weight of the deviation road section; l (L) 1 Is the length of the deviated road section; w (W) b Time weight for the deviated road section; t (T) 1 The transit time of the deviated road section; w (W) c The traffic weight of the deviation road section; q (Q) 1 The traffic cost of the deviated road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section is as follows:
C 2 ＝W d ×L 2 +W e ×T 2 +W f ×Q 2 (3)
wherein C is 2 The traffic weight of the predetermined road section; w (W) d A length weight for a predetermined road segment; l (L) 2 Is the length of a predetermined road segment; w (W) e Time weight for a predetermined road segment; t (T) 2 The estimated passing time is the estimated passing time of the preset road section; w (W) f A traffic weight for a predetermined road section; q (Q) 2 Is estimated toll for a predetermined road segment.
6. The method for creating a driver's image of road transportation of dangerous chemicals based on location data as claimed in claim 5, wherein if any one of the deviated road sections is located in a downtown area, its passing time is smaller than that of the corresponding predetermined road section, and its corresponding predetermined road section is located in a downtown area, the deviated road section is removed from the deviation information.
7. The method for creating an image of a driver on a dangerous chemical road transportation based on location data as set forth in claim 5, wherein the road condition information of each predetermined section includes real-time traffic conditions of the corresponding deviation section when the vehicle passes through the section, and if any deviation section is located in a non-downtown area and the corresponding predetermined section is located in a downtown area and traffic jam occurs, the deviation section is removed from the deviation information.
8. The method for creating a driver's image of a dangerous chemical road transportation based on location data as recited in any one of claims 3 to 7, wherein if any one of the deviated road sections is removed from the deviation information three times, the deviated road section is replaced with the corresponding predetermined road section.
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| CN202110191828.XA CN113048996B (en) | 2021-02-19 | 2021-02-19 | Dangerous chemical road transportation driver portrait generation method based on position data |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455409A (en) * | 2013-09-17 | 2013-12-18 | 张家港美核电子科技有限公司 | System and method for monitoring safety of dangerous chemical transport in real time |
| CN103971168A (en) * | 2014-04-02 | 2014-08-06 | 中国人民解放军防化学院 | Hazardous chemical transport hazard predicting and controlling system |
| CN111932892A (en) * | 2020-08-21 | 2020-11-13 | 重庆电子工程职业学院 | Driving management method and system for dangerous transport driver |
| CN112102586A (en) * | 2020-09-17 | 2020-12-18 | 杭州海康威视系统技术有限公司 | Fatigue driving warning method, device and equipment |
| DE102019120148A1 (en) * | 2019-07-25 | 2021-01-28 | Avl Software And Functions Gmbh | Method and system for the improved use of free spaces in a vehicle by goods to be transported |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8972179B2 (en) * | 2006-06-20 | 2015-03-03 | Brett Brinton | Method and apparatus to analyze GPS data to determine if a vehicle has adhered to a predetermined route |
| US9952056B2 (en) * | 2016-03-11 | 2018-04-24 | Route4Me, Inc. | Methods and systems for detecting and verifying route deviations |
-
2021
- 2021-02-19 CN CN202110191828.XA patent/CN113048996B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455409A (en) * | 2013-09-17 | 2013-12-18 | 张家港美核电子科技有限公司 | System and method for monitoring safety of dangerous chemical transport in real time |
| CN103971168A (en) * | 2014-04-02 | 2014-08-06 | 中国人民解放军防化学院 | Hazardous chemical transport hazard predicting and controlling system |
| DE102019120148A1 (en) * | 2019-07-25 | 2021-01-28 | Avl Software And Functions Gmbh | Method and system for the improved use of free spaces in a vehicle by goods to be transported |
| CN111932892A (en) * | 2020-08-21 | 2020-11-13 | 重庆电子工程职业学院 | Driving management method and system for dangerous transport driver |
| CN112102586A (en) * | 2020-09-17 | 2020-12-18 | 杭州海康威视系统技术有限公司 | Fatigue driving warning method, device and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 基于时空数据分析的危化品车辆自动预警方案研究;王姝等;《物流工程与管理》;第36卷(第12期);124-126 * |
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