CN105241468A - Vehicle route real-time selection system based on vehicle self-organizing network - Google Patents
Vehicle route real-time selection system based on vehicle self-organizing network Download PDFInfo
- Publication number
- CN105241468A CN105241468A CN201510713798.9A CN201510713798A CN105241468A CN 105241468 A CN105241468 A CN 105241468A CN 201510713798 A CN201510713798 A CN 201510713798A CN 105241468 A CN105241468 A CN 105241468A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- module
- organizing network
- intelligent terminal
- system based
- 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.)
- Pending
Links
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
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special 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
-
- 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
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
-
- 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
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3691—Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
Abstract
The invention relates to a vehicle route real-time selection system based on a vehicle self-organizing network. The system places an intelligent terminal with wireless communication function in each vehicle, and communicates through a vehicle unit. Each vehicle detects the distance from the vehicle in front, the detected distance is gathered to each intelligent terminal for algorithm determination, so as to determine the degree of congestion of the vehicle in real time for the driver's reference. The invention uses vehicle self-organizing network and wireless communication technology, and an embedded platform to solve the problem of road selection when the municipal road condition is complicated. Through collection and calculation of corresponding information in the embedded platform, a vehicle route real-time selection system based on the vehicle self-organizing network is constructed.
Description
Technical field
The present invention relates to a kind of vehicle route real-time selection system based on vehicle self-organizing network, belong to vehicle routing choice technical field.
Background technology
Along with the increase of expanding economy and car owning amount, traffic jam issue is day by day serious, and the traffic constantly worsened more and more annoyings the big city of countries in the world.How in urban transportation, particularly avoid congested link in peak period, reduce driving time, become the research emphasis of present stage vehicle route navigational system.
Vehicle self-organizing network is traditional mobile ad-hoc network (MANET) application on traffic route, is a kind of special mobile ad-hoc network.Mobile ad-hoc network is the network that a kind of mobile communication and computer network combine, and is the one of Antenna of Mobile Computer Network, and user terminal can arbitrarily move and keep communication in net.In network, each terminal can move freely, and status is equal, does not need the support of existing information infrastructure network, can at any time, any place rapid build.Vehicle self-organizing network has the various features of mobile ad-hoc network, such as autonomy and without limited, the good extensibility etc. of the dynamic change of fixed sturcture, multihop routing, network topology, network capacity.
Summary of the invention
The technical problem to be solved in the present invention is: by judging the real-time congestion of road, and help driver avoids the section that traffic is blocked up relatively effectively, to ensure the fluency of driving a vehicle.
In order to solve the problems of the technologies described above, technical scheme of the present invention there is provided a kind of vehicle route real-time selection system based on vehicle self-organizing network, it is characterized in that, comprise the intelligent terminal be arranged in each vehicle, this intelligent terminal comprises CPU, GPS module, range finder module, communication module and display module, CPU connects GPS module respectively, range finder module, communication module and display module, communication is set up by communication module between any two intelligent terminals, thus a distributed network is formed between each vehicle, each intelligent terminal first obtains the surrounding paths distribution plan of Current vehicle by GPS module, recycling range finder module obtains the following distance of Current vehicle and front truck, then communication module is utilized to be sent on the intelligent terminal on vehicle by the data of the following distance on the path needing to detect, then carry out process by specific algorithm to data to calculate, to judge the Congestion Level SPCC of road, driver is assisted to select suitable path.
Preferably, also comprise voice cue module, voice cue module is connected with described CPU.
Present invention utilizes vehicle self-organizing network, and by Embedded platform, under solving the special complicated situation of urban road situation, the select permeability in driving path.By in embedded platform to corresponding information, computing, construct a kind of in real time system effectively judging road congestion situation directly perceived.
The present invention has following advantage:
1, be applicable to the vehicle route real-time selection system under urban traffic environment, can accurate and effective help the traffic of driver to surrounding road to make the most real-time judgement timely, to ensure fluency and the comfortableness of driving.Volume of the present invention is little, quality is light, cost is few, be easy to realization.
2, present invention utilizes vehicle self-organizing network, can make can stablize between any two terminal nodes in communication range, communicate in high quality, due to the free property of vehicle self-organizing network, effectively can reduce cost.
3, the algorithm computing velocity of the present invention's employing is fast, and complexity is lower, can judge the traffic conditions of road quickly and accurately, then carries out the prompting of hommization respectively by display module and voice module to driver.
Accompanying drawing explanation
Fig. 1 is the circuit block diagram of the intelligent terminal in the present invention.
Embodiment
For making the present invention become apparent, hereby with preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
A kind of vehicle route real-time selection system based on vehicle self-organizing network provided by the invention, comprise the intelligent terminal be arranged in each vehicle, as shown in Figure 1, each intelligent terminal comprises CPU, GPS module, communication module, range finder module, display module and voice cue module.CPU is connected with voice cue module with GPS module, communication module, range finder module, display module respectively.
A car is for from starting point to destination, GPS module is first used to obtain the surrounding road distribution plan of vehicle, example like this, find that two road can from starting point to destination, then by self-organizing network and communication module, the following distance data of each car on two road are sent to the intelligent terminal of starting point vehicle, respective algorithms is utilized to carry out data processing calculating through the CPU of intelligent terminal, judge the vehicle congestion condition on two road respectively, then result is exported, by display module and voice module, hommization prompting is carried out to driver, the selection of help on-line driver to path provides reference.
Described traffic density analytical algorithm is described below: (1) traffic density calculated on different path directly compares (2) and carries out statistical study to following distance data, see that what it obeys or what distribution (3) of approximate obedience is averaged the summation of following distance data, what mean value was minimum is best.
Claims (2)
1. the vehicle route real-time selection system based on vehicle self-organizing network, it is characterized in that, comprise the intelligent terminal be arranged in each vehicle, this intelligent terminal comprises CPU, GPS module, range finder module, communication module and display module, CPU connects GPS module respectively, range finder module, communication module and display module, communication is set up by communication module between any two intelligent terminals, thus a distributed network is formed between each vehicle, each intelligent terminal first obtains the surrounding paths distribution plan of Current vehicle by GPS module, recycling range finder module obtains the following distance of Current vehicle and front truck, then communication module is utilized to be sent on the intelligent terminal on vehicle by the data of the following distance on the path needing to detect, then carry out process by specific algorithm to data to calculate, to judge the Congestion Level SPCC of road, driver is assisted to select suitable path.
2. a kind of vehicle route real-time selection system based on vehicle self-organizing network as claimed in claim 1, it is characterized in that, also comprise voice cue module, voice cue module is connected with described CPU.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510713798.9A CN105241468A (en) | 2015-10-28 | 2015-10-28 | Vehicle route real-time selection system based on vehicle self-organizing network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510713798.9A CN105241468A (en) | 2015-10-28 | 2015-10-28 | Vehicle route real-time selection system based on vehicle self-organizing network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105241468A true CN105241468A (en) | 2016-01-13 |
Family
ID=55039197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510713798.9A Pending CN105241468A (en) | 2015-10-28 | 2015-10-28 | Vehicle route real-time selection system based on vehicle self-organizing network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105241468A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106373392A (en) * | 2016-08-31 | 2017-02-01 | 东华大学 | Fire-fighting vehicle emergency let-by system based on vehicle self-organizing network |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030225511A1 (en) * | 2001-10-31 | 2003-12-04 | Kazumitsu Kushida | Vehicle recognition support system |
| US20040260458A1 (en) * | 2000-08-18 | 2004-12-23 | Samsung Electronics Co., Ltd. | Navigation system using wireless communication network and route guidance method thereof |
| JP2010191975A (en) * | 1997-08-19 | 2010-09-02 | Siemens Vdo Automotive Corp | Vehicle information system |
| CN102184641A (en) * | 2011-05-09 | 2011-09-14 | 浙江大学 | Running information based road condition management method and system |
| CN102542835A (en) * | 2010-11-10 | 2012-07-04 | 罗伯特·博世有限公司 | Navigation system and navigation method with traffic jam recognition function |
| CN102624896A (en) * | 2012-03-12 | 2012-08-01 | 东南大学 | Vehicle density sensing system and vehicle density sensing method based on inter-vehicle communication |
| CN202587034U (en) * | 2012-03-12 | 2012-12-05 | 东南大学 | Vehicle density sensing system based on communications among vehicles |
| CN102821282A (en) * | 2012-08-31 | 2012-12-12 | 南京邮电大学 | Method for short-range wireless video communication in vehicular network |
| WO2014208388A1 (en) * | 2013-06-25 | 2014-12-31 | 株式会社東芝 | System for gauging road conditions, and device for gauging road conditions |
| CN104637328A (en) * | 2015-01-07 | 2015-05-20 | 浙江大学 | RSU (Roadside Unit)-based distributed real-time navigation method in vehicular ad hoc network |
| CN104864882A (en) * | 2015-05-12 | 2015-08-26 | 北京邮电大学 | Navigation method based on vehicle self-organizing network |
-
2015
- 2015-10-28 CN CN201510713798.9A patent/CN105241468A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010191975A (en) * | 1997-08-19 | 2010-09-02 | Siemens Vdo Automotive Corp | Vehicle information system |
| US20040260458A1 (en) * | 2000-08-18 | 2004-12-23 | Samsung Electronics Co., Ltd. | Navigation system using wireless communication network and route guidance method thereof |
| US20030225511A1 (en) * | 2001-10-31 | 2003-12-04 | Kazumitsu Kushida | Vehicle recognition support system |
| CN102542835A (en) * | 2010-11-10 | 2012-07-04 | 罗伯特·博世有限公司 | Navigation system and navigation method with traffic jam recognition function |
| CN102184641A (en) * | 2011-05-09 | 2011-09-14 | 浙江大学 | Running information based road condition management method and system |
| CN102624896A (en) * | 2012-03-12 | 2012-08-01 | 东南大学 | Vehicle density sensing system and vehicle density sensing method based on inter-vehicle communication |
| CN202587034U (en) * | 2012-03-12 | 2012-12-05 | 东南大学 | Vehicle density sensing system based on communications among vehicles |
| CN102821282A (en) * | 2012-08-31 | 2012-12-12 | 南京邮电大学 | Method for short-range wireless video communication in vehicular network |
| WO2014208388A1 (en) * | 2013-06-25 | 2014-12-31 | 株式会社東芝 | System for gauging road conditions, and device for gauging road conditions |
| CN104637328A (en) * | 2015-01-07 | 2015-05-20 | 浙江大学 | RSU (Roadside Unit)-based distributed real-time navigation method in vehicular ad hoc network |
| CN104864882A (en) * | 2015-05-12 | 2015-08-26 | 北京邮电大学 | Navigation method based on vehicle self-organizing network |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106373392A (en) * | 2016-08-31 | 2017-02-01 | 东华大学 | Fire-fighting vehicle emergency let-by system based on vehicle self-organizing network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Darwish et al. | Traffic density estimation in vehicular ad hoc networks: A review | |
| Vahdat-Nejad et al. | A survey on context-aware vehicular network applications | |
| CN103200526B (en) | A kind of method of the vehicular ad hoc network route based on roadside base station | |
| US9435654B2 (en) | System and method for creating, storing, and updating local dynamic MAP database with safety attribute | |
| Chen et al. | A real-time vehicle navigation algorithm in sensor network environments | |
| KR20170090466A (en) | Method and apparatus for providing point of interest information | |
| CN106781556B (en) | A kind of traffic lights duration judgment method suitable for vehicle-mounted short distance communication network | |
| Khan et al. | A Traffic Aware Segment-based Routing protocol for VANETs in urban scenarios | |
| CN101729167A (en) | Method for processing traffic road condition information | |
| CN103298059A (en) | Connectivity sensing routing method on basis of location prediction in vehicle ad hoc network | |
| Garip et al. | Scalable reactive vehicle-to-vehicle congestion avoidance mechanism | |
| CN106441324A (en) | Navigation method, navigation apparatus, road condition information collection method and road condition information collection system | |
| Wang et al. | Vanet meets deep learning: The effect of packet loss on the object detection performance | |
| Hawas et al. | Autonomous real time route guidance in inter-vehicular communication urban networks | |
| Rezaei et al. | ReFOCUS: A hybrid fog-cloud based intelligent traffic re-routing system | |
| Khekare | Design of emergency system for intelligent traffic system using VANET | |
| Chang et al. | Design and implementation of the travelling time-and energy-efficient android gps navigation app with the vanet-based a* route planning algorithm | |
| Santamaria et al. | An efficient traffic management protocol based on IEEE802. 11p standard | |
| WO2020071072A1 (en) | Information provision system, mobile terminal, information provision method, and computer program | |
| Sun et al. | A novel cloudlet-dwell-time estimation method for assisting vehicular edge computing applications | |
| CN105241468A (en) | Vehicle route real-time selection system based on vehicle self-organizing network | |
| Paul et al. | Real-time routing for ITS enabled fog oriented VANET | |
| Maglaras et al. | Clustering in Urban environments: Virtual forces applied to vehicles | |
| CN103337180A (en) | Intelligent traffic light control system based on WSN (wireless sensor network) | |
| CN105306157B (en) | A kind of vehicle-carrying communication modeling method based on network-in-dialing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160113 |
|
| WD01 | Invention patent application deemed withdrawn after publication |