CN211956719U - Horizontal transportation system for unmanned truck port - Google Patents
Horizontal transportation system for unmanned truck port Download PDFInfo
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- CN211956719U CN211956719U CN202020703107.3U CN202020703107U CN211956719U CN 211956719 U CN211956719 U CN 211956719U CN 202020703107 U CN202020703107 U CN 202020703107U CN 211956719 U CN211956719 U CN 211956719U
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Abstract
The utility model discloses an unmanned container truck harbour horizontal transportation system, the system includes wisdom traffic management center, install the on-vehicle control system on unmanned container truck, install the traffic control system at the crossroad in the harbour, wisdom traffic management center includes vehicle information monitoring module, vehicle task allocation module, the route planning module of traveling, high-accuracy map management module and data server; the vehicle-mounted control system comprises a first millimeter wave radar, a first camera, a first data processing server and a first communication module; traffic control system includes second millimeter wave radar, second camera, second data processing server and second communication module, and second millimeter wave radar, second camera, second communication module all connect second data processing server, the utility model discloses a traffic control system TCS carries out the vehicle road in coordination, controls unmanned collection card work task, the route of traveling through TMC, realizes unmanned collection card automatic operation in the port.
Description
Technical Field
The utility model relates to a traffic control technical field, concretely relates to unmanned truck harbour horizontal transportation system.
Background
The world has 10 ports, the heaviest ports, and China accounts for 7 ports. The port operation is intelligentized and automated, and the port operation efficiency is improved, which is the most important problem faced by the port at present.
As a window opened to the outside in China and an important link in a modern logistics supply chain, ports increasingly become a comprehensive logistics platform integrating functions of transmission, distribution, storage, processing, packaging, value-added service and the like, and the energy consumption of the ports occupies a certain proportion in the whole traffic industry.
In some ports (such as deep-water ports in the mountains), an unmanned transport vehicle (AGV) is used for meeting the automatic operation requirement of containers in the ports, the scheme needs a large number of magnetic nails to be paved on the ground, the AGV scheme locates an unmanned truck through the magnetic nails, and the magnetic nails need to be embedded under roads.
Some ports (such as Tianjin port) use common unmanned trucks to meet the demand of automatic operation of containers in the port, and the scheme relies on traditional unmanned technology to realize unmanned truck automatic driving through various sensors and V2X communication.
The existing horizontal transportation system of the port has the following defects:
the AGV unmanned carrying trolley has the problems that an unmanned truck driving line is fixed and cannot be mixed with a manually driven automobile for operation, the requirements on a steering system and a positioning system of the AGV unmanned carrying trolley are very high, the cost of the unmanned truck is high, a positioning infrastructure magnetic nail needs to be embedded under a road, and the infrastructure cost is also very high.
According to the traditional unmanned technology, high-precision positioning and road condition sensing are achieved by taking a laser radar as a main force sensor, weather and light have serious influence on unmanned truck operation in actual operation, and the unmanned truck cannot meet the operation requirement of 24-hour all-weather work of a port.
Aiming at the phenomenon, the inventor specially designs an unmanned container truck port horizontal transportation system which can accurately position and track an inner container truck and an outer container truck so as to monitor the traffic condition of an operation area in real time.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an unmanned collecting card harbour horizontal transportation System carries out the vehicle and road cooperation through Traffic Control System (TCS, Traffic Control System), controls unmanned collecting card job task, route of traveling through TMC (Traffic Control center), realizes unmanned collecting card accurate positioning through RFID road marking System, finally provides the automatic operation of unmanned collecting card in the harbour.
In order to achieve the above object, the utility model adopts the following technical scheme:
an unmanned truck port horizontal transport system comprising:
the intelligent Traffic Management Center (TMC) comprises a vehicle information monitoring module, a vehicle task distribution module, a driving path planning module, a high-precision map management module and a data server, wherein the vehicle information monitoring module is used for acquiring monitoring data, the vehicle task distribution module is used for distributing a conveying task of an unmanned truck and sending a control instruction to the unmanned truck, the driving path planning module is used for planning a driving path on the basis of a high-precision map according to the conveying task and the traffic condition on the current road, the high-precision map management module is used for managing and updating the high-precision map, and the data server is used for storing all data of the intelligent traffic management center;
the vehicle-mounted control system is installed on the unmanned hub and comprises a first millimeter wave radar, a first camera, a first data processing server and a first communication module, wherein the first millimeter wave radar, the first camera and the first communication module are all connected with the first data processing server, the first communication module is communicated with the intelligent traffic management center, the first data processing server is also connected with a central control system of the unmanned hub, the first millimeter wave radar is used for acquiring the size, distance, angle and relative speed information of obstacles around the unmanned hub and sending the information to the first data processing server, and the first camera is used for acquiring the shape and color information of the obstacles around the unmanned hub and sending the information to the first data processing server; the first data processing server is used for respectively carrying out obstacle coordinate value calculation and obstacle classification identification according to the size, distance, angle and relative speed information of the obstacle and the shape and color information of the obstacle, fusing all data, carrying out decision judgment on whether the data pass or not according to the fused data, and sending a decision result to the central control system of the unmanned card; the first communication module is connected with an intelligent traffic management center, and is used for acquiring a conveying task and a driving path of the unmanned card from the intelligent traffic management center and forwarding the conveying task and the driving path to a central control system of the unmanned card;
the traffic control system comprises a second millimeter wave radar, a second camera, a second data processing server and a second communication module, wherein the second millimeter wave radar, the second camera and the second communication module are all connected with the second data processing server, the second millimeter wave radar is used for acquiring the relative distance, the relative speed and the driving direction information of an unmanned card concentrator entering the intersection and uploading the information to the second data processing server, the second camera is used for capturing the unmanned card concentrator, acquiring the shape and the color information of the unmanned card concentrator and uploading the information to the second data processing server, the second communication module is connected with the first communication module, and the second communication module is used for acquiring the driving path of the unmanned card concentrator from the first communication module; the second data processing server is used for carrying out object classification identification according to the shape and color information uploaded by the second camera, carrying out relative coordinate value calculation according to the driving path, relative distance, relative speed and driving direction of the unmanned card concentrator, carrying out traffic decision by combining the relative coordinate values and the driving path information of all the unmanned card concentrators in the crossroad if the unmanned card concentrator is identified as the unmanned card concentrator, and sending a traffic or waiting instruction to each unmanned card concentrator according to the traffic decision result;
further, the unmanned truck port horizontal transportation system further comprises a plurality of RFID tags which are arranged on the ground surface in the middle of a road inside the port at intervals, absolute coordinates of the tags and driving information of the road are stored in a memory of the RFID tags, the vehicle-mounted control system further comprises a reader corresponding to the RFID tags, and the reader is connected with the first data processing server.
Further, above-mentioned unmanned truck harbour horizontal transportation system still fills electric pile including installing on the roadside, and every fills electric pile and all has fixed coordinate on high-precision map.
Further, 77G millimeter wave radar is adopted to first millimeter wave radar and second millimeter wave radar, and infrared camera is adopted to first camera and second camera, 5G communication module, LTE communication module, wiFi communication module or V2X communication module are adopted to first communication module and second communication module.
After the scheme is adopted, the utility model has the advantages of it is following:
1. the utility model discloses a dispose vehicle-mounted driving system on unmanned truck, use vehicle-mounted driving system's first millimeter wave radar and first camera to survey unmanned truck peripheral barrier, can implement relative speed, distance and the type of acquireing the barrier, judge unmanned truck peripheral environment again through data fusion, and regard this as the basis of unmanned truck control, realize that unmanned truck avoids the barrier automatically, millimeter wave radar is as main force transducer, can realize the all-weather work in harbour;
2. the utility model discloses install Traffic Control System (TCS, Traffic Control System) at the crossroad department in the harbor district, the TCS System has included second millimeter wave radar and second camera, can obtain the unmanned collecting card Traffic state (the route of traveling, relative coordinate value) on the different roads of crossroad in real time, and whether the Traffic state according to the crossroad commands unmanned collecting card can normally pass; the unmanned truck is ensured to safely run in a port area through a vehicle-mounted driving system of the unmanned truck, TCS traffic monitoring and commanding and a decision algorithm of the unmanned truck, and compared with an AGV unmanned truck, the cost is low; the TCS commands unmanned truck collection at the crossroad to pass, has high safety and can be mixed with a manned truck for operation;
3. the utility model distributes the conveying task of the unmanned collecting card, plans the running path of the unmanned collecting card through a smart Traffic Management Center (TMC), directs the unmanned collecting card to finish the conveying operation, plans the optimal path between the starting point and the terminal point on a high-precision map, realizes the college operation of the unmanned collecting card,
drawings
Fig. 1 is a block diagram of the horizontal transportation system of the unmanned container truck port of the present invention.
FIG. 2 is a flow chart of the horizontal transportation method of the unmanned container truck port of the present invention;
fig. 3 is the utility model discloses on-vehicle control system is to the control flow chart of unmanned card collection.
Description of reference numerals:
the intelligent traffic management system comprises an intelligent traffic management center 1, a vehicle information monitoring module 11, a vehicle task distribution module 12, a driving path planning module 13, a high-precision map management module 14 and a data server 15
The vehicle-mounted control system 2, the first millimeter wave radar 21, the first camera 22, the first data processing server 23, the first communication module 24, the central control system 25 and the reader 26
The traffic control system 3, a second millimeter wave radar 31, a second camera 32, a second data processing server 33, and a second communication module 34
Detailed Description
As shown in fig. 1, the utility model discloses an unmanned truck port horizontal transportation system, which comprises a smart traffic management center 1(TMC), a vehicle-mounted control system 2 installed on (around) the unmanned truck, and a traffic control system 3(TCS) installed at a crossroad in the port;
the intelligent traffic management center 1(TMC) includes a vehicle information monitoring module 11, a vehicle task allocation module 12, a driving path planning module 13, a high-precision map management module 14 and a data server 15, where the vehicle information monitoring module 11 is configured to obtain monitoring data, the vehicle task allocation module 12 is configured to allocate a transportation task of an unmanned truck and send a control instruction to the unmanned truck, the driving path planning module 13 is configured to plan a driving path on the basis of a high-precision map according to the transportation task and a traffic condition on a current road, the high-precision map management module 14 is configured to manage and update the high-precision map, and the data server 15 is configured to store all data of the intelligent traffic management center; TMC has a remote communication capability, which is capable of communicating with the in-vehicle control system 22;
the vehicle-mounted control system 22 comprises a first millimeter-wave radar 21, a first camera 22, a first data processing server 23 and a first communication module 24, wherein the first millimeter-wave radar 21, the first camera 22 and the first communication module 23 are all connected with the first data processing server 24, the first communication module 23 is communicated with the intelligent traffic management center 1, the first data processing server 24 is further connected with a central control system 25 of the unmanned truck, the first millimeter-wave radar is used for acquiring the size, distance, angle and relative speed information of obstacles around the unmanned truck and sending the information to the first data processing server 24, and the first camera 22 is used for acquiring the shape and color information of the obstacles around the unmanned truck and sending the information to the first data processing server 23; the first data processing server 23 is configured to perform obstacle coordinate value calculation and obstacle classification recognition respectively according to the size, distance, angle, and relative speed information of the obstacle and the shape and color information of the obstacle, fuse all data, perform decision judgment on whether the data is right or not according to the fused data, and send a decision result to the central control system 25 of the unmanned collective card; the first communication module 24 is connected with the intelligent traffic management center 1, and the first communication module 24 is used for acquiring the conveying task and the driving path of the unmanned card from the intelligent traffic management center 1 and forwarding the conveying task and the driving path to the central control system 25 of the unmanned card;
the traffic control system 3 has fixed coordinates on a high-precision map, the traffic control system 3 includes a second millimeter wave radar 31, a second camera 32, a second data processing server 33 and a second communication module 34, the second millimeter wave radar 31, the second camera 32 and the second communication module 33 are all connected to the second data processing server 34, the second millimeter wave radar 31 is used for acquiring the relative distance, the relative speed and the driving direction information of the unmanned card concentrator entering the intersection and uploading the information to the second data processing server 34, the second camera 32 is used for capturing the unmanned card concentrator, acquiring the shape and the color information of the unmanned card concentrator and uploading the information to the second data processing server 34, the second communication module 33 is connected with the first communication module 23, and the second communication module 33 is used for acquiring the driving path of the unmanned card concentrator from the first communication module 23; the second data processing server 34 is configured to perform classification and identification of objects according to the shape and color information uploaded by the second camera 32, perform calculation of relative coordinate values according to a driving path, a relative distance, a relative speed and a driving direction of the unmanned aggregate card, perform a traffic decision by combining the relative coordinate values and the driving path information of all the unmanned aggregate cards in the intersection if the unmanned aggregate card is identified, and issue a traffic or waiting instruction to each unmanned aggregate card according to a traffic decision result;
further, the unmanned truck port horizontal transportation system further comprises a plurality of RFID tags 4 installed on the ground surface in the middle of a road inside the port at intervals, absolute coordinates of the tags and road running information are stored in a memory of the RFID tags 4, the vehicle-mounted control system 2 further comprises a reader 26 corresponding to the RFID tags 4, the reader 26 is connected with the first data processing server 24, the unmanned truck automatically wirelessly charges the RFID tags 4 when passing over the RFID tags 4 in the running process, and reads information on the RFID tags 4, and after the unmanned truck acquires the information of the RFID tags 4, the coordinates of the unmanned truck can be positioned in real time and at high accuracy by combining information such as the running speed, direction, unmanned truck attitude and the like of the current unmanned truck, and an NGSS (global satellite navigation system); the high-precision positioning of the unmanned card concentrator can assist automatic unmanned driving of the unmanned card concentrator, and accurate alignment of a field bridge and a shore bridge in a harbor area, and compared with the construction of an RFID road sign, the magnetic nail is simple and low in cost.
Further, above-mentioned unmanned truck harbour horizontal transportation system still fills electric pile 5 including installing on the roadside, and every fills electric pile 5 and all has fixed coordinate on the high-precision map. In the process of waiting for loading and unloading containers by a yard bridge or a shore bridge, the unmanned container truck can be supplied with electricity through the roadside charging pile 5; when the electric quantity is insufficient in the operation process, the unmanned container truck can automatically drive to a centralized charging point for charging after the container is unloaded, and the unmanned container truck task can be transferred to a truck with normal and idle electric quantity in the charging process.
Further, 77G millimeter wave radar is adopted by the first millimeter wave radar and the second millimeter wave radar 31, infrared cameras are adopted by the first camera 22 and the second camera 32, and a 5G communication module, an LTE communication module, a WiFi communication module or a V2X communication module is adopted by the first communication module 24 and the second communication module 34.
As shown in fig. 2, the utility model also provides an unmanned truck harbor horizontal transportation method, including the following steps:
s1, the vehicle task distribution module 12 of the intelligent traffic management center 1 distributes a conveying task for the unmanned truck, the driving path planning module 13 plans a driving path on the basis of a high-precision map according to the conveying task and the traffic condition on the current road, and the first communication module 24 of the vehicle-mounted control system 2 sends the conveying task, the driving path and the coordinate information of the starting point and the ending point of the task to the first data processing server 23 of the vehicle-mounted control system 2 of the unmanned truck;
s2, the central control system 25 of the unmanned card gathering receives the transportation task from the first data processing server 23, the transportation task is driven to the task starting point according to the driving path requirement, and the unmanned card gathering enters a waiting state after the transportation task reaches the starting point;
s3, interacting with a port operation system of the intelligent traffic management center 1, confirming that port goods are assembled on the unmanned collecting card, and giving an instruction for starting to execute a task to the unmanned collecting card by the intelligent traffic management center 1;
s4, when the unmanned truck starts to run according to the running route entering the road in the port, and the vehicle-mounted control system 2 monitors the obstacle, as shown in FIG. 3, the first millimeter wave radar acquires the size, distance, angle and relative speed information of the obstacle around the unmanned truck and sends the information to the first data processing server 23, the first camera 22 acquires the shape and color information of the obstacle around the unmanned truck and sends the information to the first data processing server 23, the first data processing server 23 respectively calculates the coordinate value of the obstacle and classifies the obstacle according to the size, distance, angle and relative speed information of the obstacle and the shape and color information of the obstacle, fuses all data, and determines whether the vehicle is passing according to the fused data, and sends the decision result to the central control system 25 of the unmanned truck, the central control system 25 stops, stops and stops according to the decision result, Control of deceleration or maintenance of normal traffic; the decision making process for determining whether to pass or not according to the fusion data specifically comprises the following steps: setting a maximum safe distance A and a minimum safe distance B between the unmanned collecting card and the obstacle according to the obtained relative speed of the obstacle, wherein when the distance of the obstacle is greater than A, the unmanned collecting card keeps running normally, when the distance of the obstacle is less than A and greater than B, the unmanned collecting card slows down and stops running, and when the distance of the obstacle is less than B, the unmanned collecting card stops running;
s5, when the unmanned card concentrator enters the crossroad, the traffic control system 3 monitors the unmanned card concentrator, the second millimeter wave radar 31 acquires the relative distance, the relative speed and the driving direction information of the unmanned card concentrator driving into the crossroad and uploads the information to the second data processing server 34, the second camera 32 captures the unmanned card concentrator, acquires the shape and the color information of the unmanned card concentrator and uploads the information to the second data processing server 34, the second communication module 34 acquires the driving path of the unmanned card concentrator from the first communication module 24, the second data processing server 33 carries out object classification identification according to the shape and the color information uploaded by the second camera 32, carries out relative coordinate value calculation according to the driving path, the relative distance, the relative speed and the driving direction of the unmanned card concentrator, and if the unmanned card concentrator is identified, the traffic decision is carried out by combining the relative coordinate values and the driving path information of all the unmanned card concentrator in the crossroad, sending a passing or waiting instruction to each unmanned card concentrator according to the passing decision result; the "traffic decision" specifically includes: according to the driving path and the relative coordinate value of the unmanned card, the traffic control system 3 judges whether the unmanned card needs to go straight, turn right or turn left at the crossroad, if the unmanned card goes straight, the traffic control system directly issues a passing instruction, if the unmanned card goes left, the traffic control system firstly issues a waiting instruction, if the unmanned card goes straight passes through the traffic control system, the traffic control system firstly issues the passing instruction, and if the unmanned card goes right, the traffic control system firstly issues the waiting instruction, and after the unmanned card goes straight and turns left, the traffic control system successively passes through the traffic control system, the traffic control.
S6, the unmanned card collection enters a waiting state when reaching the terminal point, the intelligent traffic management center 1 performs interaction with the port operation system, confirms that the port goods are unloaded on the unmanned card collection, and the intelligent traffic management center 1 gives a task completion instruction to the unmanned card collection.
S7, when the unmanned aggregation card reaches an early warning threshold value in the task execution process, the central control system 25 reports the monitoring data to the vehicle information monitoring module 11 of the intelligent traffic management center 1 through the first communication module 24, after the current task execution is completed, the vehicle task distribution module 12 of the intelligent traffic management center 1 sends an instruction for commanding the unmanned aggregation card to travel to a specified area for charging to the unmanned aggregation card according to the monitoring data, the instruction comprises a travel path and charging pile 5 coordinate information, and the unmanned aggregation card can be charged through the charging pile 5 on the roadside in the process of waiting for loading and unloading containers on a site bridge or a shore bridge.
The above description is only an example of the present invention and should not be construed as limiting the present invention, and any modifications, equivalent replacements, and improvements within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. The utility model provides an unmanned truck harbour horizontal transportation system which characterized in that includes:
the intelligent traffic management center comprises a vehicle information monitoring module, a vehicle task distribution module, a driving path planning module, a high-precision map management module and a data server, wherein the vehicle information monitoring module is used for acquiring monitoring data, the vehicle task distribution module is used for distributing a conveying task of the unmanned truck and sending a control instruction to the unmanned truck, the driving path planning module is used for planning a driving path on the basis of the high-precision map according to the conveying task and the traffic condition on the current road, the high-precision map management module is used for managing and updating the high-precision map, and the data server is used for storing all data of the intelligent traffic management center;
the vehicle-mounted control system is installed on the unmanned hub and comprises a first millimeter wave radar, a first camera, a first data processing server and a first communication module, wherein the first millimeter wave radar, the first camera and the first communication module are all connected with the first data processing server, the first communication module is communicated with the intelligent traffic management center, the first data processing server is also connected with a central control system of the unmanned hub, the first millimeter wave radar is used for acquiring the size, distance, angle and relative speed information of obstacles around the unmanned hub and sending the information to the first data processing server, and the first camera is used for acquiring the shape and color information of the obstacles around the unmanned hub and sending the information to the first data processing server; the first data processing server is used for respectively carrying out obstacle coordinate value calculation and obstacle classification identification according to the size, distance, angle and relative speed information of the obstacle and the shape and color information of the obstacle, fusing all data, carrying out decision judgment on whether the data pass or not according to the fused data, and sending a decision result to the central control system of the unmanned card; the first communication module is connected with an intelligent traffic management center, and is used for acquiring a conveying task and a driving path of the unmanned card from the intelligent traffic management center and forwarding the conveying task and the driving path to a central control system of the unmanned card;
the traffic control system comprises a second millimeter wave radar, a second camera, a second data processing server and a second communication module, wherein the second millimeter wave radar, the second camera and the second communication module are all connected with the second data processing server, the second millimeter wave radar is used for acquiring the relative distance, the relative speed and the driving direction information of an unmanned card concentrator entering the intersection and uploading the information to the second data processing server, the second camera is used for capturing the unmanned card concentrator, acquiring the shape and the color information of the unmanned card concentrator and uploading the information to the second data processing server, the second communication module is connected with the first communication module, and the second communication module is used for acquiring the driving path of the unmanned card concentrator from the first communication module; the second data processing server is used for carrying out object classification and identification according to the shape and color information uploaded by the second camera, carrying out relative coordinate value calculation according to the driving path, relative distance, relative speed and driving direction of the unmanned card concentrator, carrying out traffic decision by combining the relative coordinate values and the driving path information of all the unmanned card concentrators in the crossroad if the unmanned card concentrator is identified as the unmanned card concentrator, and sending a traffic or waiting instruction to each unmanned card concentrator according to the traffic decision result.
2. The unmanned container truck port horizontal transport system according to claim 1, wherein: the vehicle-mounted control system further comprises a plurality of RFID tags which are arranged on the ground surface in the middle of a road in the port at intervals, absolute coordinates of the tags and driving information of the road are stored in a memory of the RFID tags, the vehicle-mounted control system further comprises a reader corresponding to the RFID tags, and the reader is connected with the first data processing server.
3. The unmanned container truck port horizontal transport system according to claim 1, wherein: above-mentioned unmanned collection card harbour horizontal transportation system still fills electric pile including installing on the roadside, and every fills electric pile and all has fixed coordinate on the high-precision map.
4. The unmanned container truck port horizontal transport system according to claim 1, wherein: first millimeter wave radar and second millimeter wave radar all adopt 77G millimeter wave radar, and first camera and second camera all adopt infrared camera, first communication module and second communication module all adopt 5G communication module, LTE communication module, wiFi communication module or V2X communication module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111583678A (en) * | 2020-04-30 | 2020-08-25 | 福建中科云杉信息技术有限公司 | Unmanned truck port horizontal transportation system and method |
| CN113610280A (en) * | 2021-07-21 | 2021-11-05 | 江苏徐工工程机械研究院有限公司 | Obstacle-detouring planning system and method for unmanned transportation of surface mine |
| CN113771878A (en) * | 2021-09-27 | 2021-12-10 | 荆州智达电动汽车有限公司 | Port automatic driving vehicle global route guiding method based on full operation scene |
| CN115240445A (en) * | 2022-07-06 | 2022-10-25 | 上海电气集团智能交通科技有限公司 | V2X intersection priority method based on magnetic nails |
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2020
- 2020-04-30 CN CN202020703107.3U patent/CN211956719U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111583678A (en) * | 2020-04-30 | 2020-08-25 | 福建中科云杉信息技术有限公司 | Unmanned truck port horizontal transportation system and method |
| CN113610280A (en) * | 2021-07-21 | 2021-11-05 | 江苏徐工工程机械研究院有限公司 | Obstacle-detouring planning system and method for unmanned transportation of surface mine |
| CN113771878A (en) * | 2021-09-27 | 2021-12-10 | 荆州智达电动汽车有限公司 | Port automatic driving vehicle global route guiding method based on full operation scene |
| CN115240445A (en) * | 2022-07-06 | 2022-10-25 | 上海电气集团智能交通科技有限公司 | V2X intersection priority method based on magnetic nails |
| CN115240445B (en) * | 2022-07-06 | 2023-09-29 | 上海电气集团智能交通科技有限公司 | V2X intersection priority method based on magnetic nails |
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Denomination of utility model: A horizontal transportation system of unmanned truck port Effective date of registration: 20220622 Granted publication date: 20201117 Pledgee: Xiamen pilot Free Trade Zone Branch of Bank of China Ltd. Pledgor: Fujian Zhongke spruce Information Technology Co.,Ltd. Registration number: Y2022980008598 |
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