CN104504902A - Road right for vehicle to use, road right calculation method and road right-based road charging method - Google Patents

Road right for vehicle to use, road right calculation method and road right-based road charging method Download PDF

Info

Publication number
CN104504902A
CN104504902A CN201410849328.0A CN201410849328A CN104504902A CN 104504902 A CN104504902 A CN 104504902A CN 201410849328 A CN201410849328 A CN 201410849328A CN 104504902 A CN104504902 A CN 104504902A
Authority
CN
China
Prior art keywords
vehicle
road
way
length
car
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.)
Granted
Application number
CN201410849328.0A
Other languages
Chinese (zh)
Other versions
CN104504902B (en
Inventor
李德毅
徐友春
何雯
贾鹏
安利峰
曾治
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN201410849328.0A priority Critical patent/CN104504902B/en
Publication of CN104504902A publication Critical patent/CN104504902A/en
Application granted granted Critical
Publication of CN104504902B publication Critical patent/CN104504902B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/06Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Finance (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)

Abstract

The invention provides a road right for a vehicle to use, a road right calculation method and a road right-based road charging method. The road right is integral of lane length occupied in a vehicle travel process to travel time, and a calculation formula is shown in the specification, wherein R is the road right of a vehicle used in a local travel; L (t) is the road spatial length occupied by the vehicle at the moment t; Lf(t) is the spatial distance in front of the vehicle at the moment t; Lc is the length of the vehicle; t0 is time for the vehicle to drive into the road; t1 is the time for the vehicle to run off the road. By calculating the road right for the vehicle to use, the accurate analysis of the use condition of the road resources is facilitated, further the road resource utilization rate is optimized through a road right-based charging mode, a driver can be guided to improve the driving behavior, the problems such as traffic jam and resource waste caused by improper use of the road resource are relieved, and a current charging mode in which the road right consumption is not considered is improved.

Description

Vehicle uses right of way, right of way computing method and the road charging method based on right of way
Technical field
The present invention relates to field of transportation system, particularly relate to a kind of vehicle and use right of way, right of way computing method and the road charging method based on right of way.
Background technology
At present, motor vehicles are purchased and are all needed the air capacity according to vehicle to pay unified vehicle and vessel tax afterwards, no matter vehicle whether set out on a journey and set out on a journey after service condition to path resource.On the toll roads such as highway, vehicle carries out charging according to type of vehicle, load-carrying and distance travelled.Above-mentioned charge all do not consider vehicle to the consumption of path resource with take situation.
Along with being on the increase of vehicle fleet size, limited path resource will become more and more nervous and precious.The path resource that Accurate Analysis vehicle consumes in travelling, and reasonable, the accurate charging realized accordingly each vehicle, the utilization factor improving path resource will be conducive to, regulate traffic congestion, the path resource utilization factor brought because of path resource improper use low, use unequal problem, and improve the problems such as thing followed environmental pollution, energy dissipation, there is important reality and social effect.
Tradition thinks that link length or lane length are the Elementary Measures of traffic resource, dimension is " kilometer ", under different road environment, the qualitative index (unimpeded, slight crowding, generally crowded, seriously crowded, blocking etc.) of (highway, through street, city, ordinary road etc.) traffic conditions weighs by the speed of average wagon flow, and dimension is " kilometer/hour ".
Summary of the invention
The invention provides a kind of vehicle and use right of way, right of way computing method and the road charging method based on right of way, with solve in prior art to motor vehicles charge do not consider vehicle to the consumption of path resource with take situation, and the traffic congestion brought because of path resource improper use, path resource utilization factor are low, use uneven problem.
In order to realize object of the present invention, the invention provides a kind of vehicle and use right of way, described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Correspondingly, present invention also offers a kind of right of way computing method, comprising:
Described right of way refers to, lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Correspondingly, the invention provides a kind of road charging method based on right of way:
Described right of way refers to, lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Setting described road cost is P, and computing method are:
P=φ×η×λ×κ×τ×R
Wherein, Φ is the paying price of the every kilometre per hour right of way of per car, and η is the charge coefficient of vehicle, and λ is the charge coefficient of road attribute, and κ is the charge coefficient of vehicle load, and τ is the charge coefficient of traffic.
Compared with prior art, the present invention is by taking the calculating of right of way to vehicle, can the service condition of Accurate Analysis path resource, and then by optimizing path resource utilization factor based on the charging way of right of way, and driver can be guided to improve driving behavior, alleviate the problem such as traffic congestion, the wasting of resources brought because of path resource improper use, optimize all kinds of traffic control pattern, improve the current simple charging mode that right of way consumes of not considering.The present invention also can expand to and go in waterborne and aerial traffic administration.
Accompanying drawing explanation
Fig. 1 is with under driving mode of speeding, car front space distance schematic diagram when having front truck to stop;
Wherein, L cvehicle length, L fbe car front space distance, L is the link length that vehicle takies.
Fig. 2 is with under driving mode of speeding, car front space distance schematic diagram when stopping without front truck;
Car front space distance schematic diagram under Tu3Shi Huan road driving mode;
Fig. 4 is under the crossing driving mode having a Signalized control, the car front space distance schematic diagram under Pedestrian Zone At any time state;
Fig. 5 is under the crossing driving mode having a Signalized control, the car front space distance schematic diagram under vehicle pass-through state.
Embodiment
In order to make object of the present invention, technical scheme and beneficial effect clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be understood to specific embodiment described herein only in order to explain the present invention, be not limited to protection scope of the present invention.
Path resource refer to that traffic route provides empty time total resources, unit is (kilometre per hour, km.h).Right of way is that lane length shared in vehicle driving process is to the integration of travel time.Use the path resource charging of right of way based on vehicle, refer to the time of foundation vehicle consumption, right of way, link characteristics and vehicle feature, accurately charging is in real time carried out to the path resource that vehicle consumes.
The present invention to utilize before the running time of onboard sensor perception vehicle, speed, mileage, position and car the trip informations such as distance, calculate during vehicle travels the right of way used, and in conjunction with vehicle and road attribute, calculate the path resource consumption costs that vehicle should be paid under steam.This method can effectively calculate the Expenditure Levels of vehicle to path resource in real time, and has considered type of vehicle, road attribute and traffic, provides scientific and rational foundation for realizing path resource charging.
The invention provides a kind of vehicle and use right of way, described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Present invention also offers a kind of right of way computing method, comprising:
Described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Described car front space distance L f(t), with under driving mode of speeding, L ft () is the minimum safe distance under road Maximum speed limit, this car headstock and front truck tailstock distance, the smaller in both; Changing under driving mode, when occupying two (many) bar tracks simultaneously, L f(t) in each track of taking, two or many times of the shortest car front space distance; Under the crossing driving mode having Signalized control, when vehicle is in current state, L ft () is same with the L under driving mode of speeding f(t), when vehicle is in forbidden state, L ft () is the minimum safe distance under road Maximum speed limit, distance between this car headstock and the front truck tailstock or stop line, both smallers; Under the crossing driving mode that no signal lamp controls, L ft () is same with the L under driving mode of speeding f(t).
It should be noted that: with under driving mode of speeding, car front space distance L when having front truck to stop ft () as shown in Figure 1; Fig. 2 is with under driving mode of speeding, car front space distance L when stopping without front truck f(t); Car front space distance L under Tu3Wei Huan road driving mode f(t); Fig. 4 is under the crossing driving mode having a Signalized control, the car front space distance under Pedestrian Zone At any time state; Fig. 5 is the intersection having Signalized control, the car front space distance under vehicle pass-through state.
In a preferred embodiment, according to vehicle traveling-position information and transportation database, determine the traveling lane information of described vehicle, described traveling lane information comprises the Maximum speed limit in track, category of roads and road condition.
In a preferred embodiment, described vehicle is by receiving the vehicle traveling information being arranged on onboard sensor on vehicle and exporting, and described vehicle traveling information comprises obstacle distance before the car of vehicle coordinate information and corresponding time and this track and adjacent lane.
Present invention also offers a kind of road charging method based on right of way, described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = ∫ t 0 t 1 L ( t ) dt = ∫ t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
Setting described road cost is P, and its computing formula is:
P=φ×η×λ×κ×τ×R
Wherein, Φ is the paying price of the every kilometre per hour right of way of per car, and η is the charge coefficient of vehicle, and λ is the charge coefficient of road attribute, and κ is the charge coefficient of vehicle load, and τ is the charge coefficient of traffic.
It should be noted that, described car front space distance refers to that road provider can supply the longest path distance that Current vehicle uses at guarantee vehicle with under the prerequisite of present speed safety traffic, the Maximum speed limit of itself and present road, the distance of this car and front truck, and the transport condition of this car etc. is relevant.
The computing method of described car front space distance are as follows:
Vehicle is with under transport condition of speeding, and car front space distance be minimum safe distance under road Maximum speed limit, and this car headstock and the front truck tailstock apart from, both smallers.Wherein, under described road Maximum speed limit, minimum safe distance refers to, if this front side has a virtual vehicle, when two cars all travel with road Maximum speed limit, this car is in order to ensure driving safety, and the minimum safe distance kept with front truck.
Vehicle under the state of changing, when occupying two (many) bar tracks simultaneously, the car front space distance that vehicle uses, by each track taken, two (many) of the shortest car front space distance are calculating doubly,
In the intersection having Signalized control, when vehicle is in current state, the car front space distance that vehicle uses is with the car front space distance under train tracing model.When vehicle is in forbidden state, the car front space of vehicle distance is the minimum safe distance under road Maximum speed limit, in this car headstock and the front truck tailstock or stop line spacing, and both smallers.
In the intersection that no signal lamp controls, the car front space distance that vehicle uses is with the car front space distance under train tracing model.
In this trip, the expense that path resource need pay is taken according to informix determination vehicles such as right of way, category of roads, vehicle attribute and traffics shared in vehicle driving.
Beneficial effect: by taking the calculating of right of way to vehicle, be conducive to the service condition of Accurate Analysis path resource, thus pass through the adjusting and optimizing path resource utilization factor of charging way, and driver can be guided to improve driving behavior, thus alleviate because of path resource improper use, and the problem such as traffic congestion, the wasting of resources that driver brings the unreasonable consumption of path resource, optimize all kinds of traffic control pattern, improve the current simple charging mode that right of way consumes of not considering.The present invention also can expand to and go in waterborne and aerial traffic administration.
Preferred embodiment 1
In the present embodiment, a length is the car of 4.6m, and Beijing-Shanghai Expressway has at the uniform velocity travelled 120 kilometers with the speed of 120km/h, and in trip, front stops without vehicle all the time, then the road cost that this vehicle should be paid is calculated as follows:
1) according to vehicle location information, section and the trip moment of vehicle traveling can be got, find out that this section Maximum speed limit is 120km/h, and in the period of vehicle traveling, this road section traffic volume is unimpeded.
2) the minimum safe distance L under this section Maximum speed limit sbe calculated as follows:
Follow vehicle and brake reflecting time t driver 1interior operating range
L 1=vt 1
Wherein, v is the Maximum speed limit in this section.
Following the distance travelled in the coordinate responses time of vehicle after driver touches on the brake pedal is:
L 2 = vt 2 + vt 3 - at 3 2 6
Wherein, t 2for brake delay time, t 3for braking rise time, a is the braking deceleration of vehicle.
Follow vehicle at continuous braking time t 4the distance of interior traveling is:
L 3 = v 2 2 a - vt 3 2 + at 3 2 8
So follow the minimum braking distance L of vehicle ffor:
L f = L 1 + L 2 + L 3 = vt 1 + vt 2 + vt 3 - at 3 2 6 + v 2 2 a - vt 3 2 + at 3 2 8 ≈ v ( t 1 + t 2 + t 3 2 ) + v 2 2 a ≈ vt + v 2 2 a
Wherein, t is the brake operating reaction time, t=t 1+ t 2.
Meanwhile, the braking distance L of front truck hbe calculated as:
L s = vt + v 2 2 a - v 2 2 a f + L 0
Wherein, L 0after stopping, the distance in workshop, front and back two.
If front and back two car braking capacity is identical, get t=1.3s, L0=5m, then Ls=48.3m.
3) right of way of vehicle use:
Vehicle hour is 1 hour:
R = ∫ t 0 t 1 [ L f ( t ) + L c ] dt = ∫ t 0 t 1 [ L s + L c ] dt = 60 × ( 48.3 + 4.6 ) = 3174 ( m . min ) = 0.0529 ( km . h )
4) road charging
Consider the features such as vehicle, road attribute, vehicle load, condition of road surface, charge formula may be defined as:
P=φ×η×λ×κ×τ×R
Wherein, Φ is the paying price of the every kilometre per hour right of way of per car, and η is the charge coefficient of vehicle, and λ is the charge coefficient of road attribute, and κ is the charge coefficient of vehicle load, and τ is the charge coefficient of traffic.
1. the determination of vehicle coefficient η:
Note: above-mentioned vehicle is determined the division of vehicle according in existing expressway tol lcollection standard.
2. the determination of road attribute coefficient lambda:
Note: above-mentioned road type is determined according to GB.
3. the determination of vehicle load coefficient κ:
Note: above-mentioned vehicle load type is determined the division of vehicle load according in existing expressway tol lcollection standard.
4. the defining method of road conditions coefficient τ:
With in road wagon flow, the average available right of way of vehicle of being expert at, as evaluating pavement condition index, represents the average available right of way of vehicle, the average available right of way of each car when c represents that road is saturated, if, then:
&tau; = 1 , 0.7 < &alpha; 0.6 , 0.4 < &alpha; &le; 0.7 0.3 , 0.15 < &alpha; &le; 0.4 0.1 , &alpha; &le; 0.15
If paying price Φ=80000 of every kilometre per hour right of way yuan/truck kilometer hour, the path resource expense that this car should be paid is:
P=80000 × 0.2 × 1 × 0.6 × 0.1 × 0.0529=50.8 (unit)
Preferred embodiment 2
In the present embodiment, be a length with embodiment 1 is the car of 4.6m, Beijing-Shanghai Expressway has at the uniform velocity travelled 120 kilometers with the speed of 80km/h, and in trip, front is all the time without vehicle stop, then the road cost that this vehicle should be paid is calculated as follows:
The right of way that vehicle uses is
Vehicle hour is 1.5 hours:
R = &Integral; t 0 t 1 [ L f ( t ) + L c ] dt = &Integral; t 0 t 1 [ L s + L c ] dt = 90 &times; ( 48.3 + 4.6 ) = 4761 ( m . min ) = 0.07935 ( km . h )
Adopt the parameter that example 1 sets, the path resource expense that this car should be paid is:
P=80000 × 0.2 × 1 × 0.6 × 0.1 × 0.07935=76.2 (unit)
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (7)

1. vehicle uses a right of way, it is characterized in that: described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = &Integral; t 0 t 1 L ( t ) dt = &Integral; t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway, the unit of right of way is: kilometre per hour.
2. vehicle according to claim 1 uses right of way, and it is characterized in that: the right of way that road traffic condition on average can take with each car in wagon flow is weighed, the right of way that in wagon flow, each car on average can take is larger, and condition of road surface is more excellent, otherwise poorer.
3. right of way computing method, is characterized in that:
Described right of way refers to that lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = &Integral; t 0 t 1 L ( t ) dt = &Integral; t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway.
4. right of way computing method according to claim 3, is characterized in that:
Described car front space distance L f(t), with under driving mode of speeding, L ft () is the minimum safe distance under road Maximum speed limit, this car headstock and front truck tailstock distance, the smaller in both; Changing under driving mode, when occupying two (many) bar tracks simultaneously, L f(t) in each track of taking, two or many times of the shortest car front space distance; Under the crossing driving mode having Signalized control, when vehicle is in current state, L ft () is same with the L under driving mode of speeding f(t), when vehicle is in forbidden state, L ft () is the minimum safe distance under road Maximum speed limit, distance between this car headstock and the front truck tailstock or stop line, both smallers; Under the crossing driving mode that no signal lamp controls, L ft () is same with the L under driving mode of speeding f(t).
5. right of way computing method according to claim 4, is characterized in that:
According to vehicle traveling-position information and transportation database, determine the traveling lane information of described vehicle, described traveling lane information comprises the Maximum speed limit in track, category of roads and road condition.
6. right of way computing method according to claim 5, is characterized in that:
Described vehicle is by receiving the vehicle traveling information being arranged on onboard sensor on vehicle and exporting, and described vehicle traveling information comprises obstacle distance before the car of vehicle coordinate information and corresponding time and this track and adjacent lane.
7., based on a road charging method for right of way, it is characterized in that:
Described right of way refers to, lane length shared in vehicle driving process is to the integration of travel time, and wherein lane length comprises car front space distance and Vehicle length, and its computing formula is:
R = &Integral; t 0 t 1 L ( t ) dt = &Integral; t 0 t 1 [ L f ( t ) + L c ] dt
Wherein, R represents the right of way that vehicle uses in this trip, the path space length that L (t) occupies in t for vehicle, L f(t) for vehicle is in the car front space distance of t, L cfor Vehicle length, t 0for vehicle sails the time of road into, t 1for the time that vehicle runs off the roadway;
Setting described road cost is P, then P is:
P=φ×η×λ×κ×τ×R
Wherein, φ is the paying price of the every kilometre per hour right of way of per car, and η is the charge coefficient of vehicle, and λ is the charge coefficient of road attribute, and κ is the charge coefficient of vehicle load, and τ is the charge coefficient of traffic.
CN201410849328.0A 2014-12-29 2014-12-29 Vehicle uses right of way, right of way computational methods and the road charging method based on right of way Active CN104504902B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410849328.0A CN104504902B (en) 2014-12-29 2014-12-29 Vehicle uses right of way, right of way computational methods and the road charging method based on right of way

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410849328.0A CN104504902B (en) 2014-12-29 2014-12-29 Vehicle uses right of way, right of way computational methods and the road charging method based on right of way

Publications (2)

Publication Number Publication Date
CN104504902A true CN104504902A (en) 2015-04-08
CN104504902B CN104504902B (en) 2016-05-04

Family

ID=52946475

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410849328.0A Active CN104504902B (en) 2014-12-29 2014-12-29 Vehicle uses right of way, right of way computational methods and the road charging method based on right of way

Country Status (1)

Country Link
CN (1) CN104504902B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105374206A (en) * 2015-12-09 2016-03-02 敏驰信息科技(上海)有限公司 Active traffic demand management system and working method thereof
CN108349496A (en) * 2015-11-04 2018-07-31 大众汽车有限公司 Method and control system for the traffic gap for determining the replacement track for vehicle between two vehicles
CN108688660A (en) * 2017-04-06 2018-10-23 丰田自动车株式会社 Range of operation determining device
CN109307861A (en) * 2017-07-28 2019-02-05 比亚迪股份有限公司 Vehicle, vehicle positioning method and mobile unit
CN112602122A (en) * 2018-08-24 2021-04-02 日本电信电话株式会社 Lane pricing system, lane pricing device, lane pricing method, and lane pricing program
CN112950800A (en) * 2021-03-29 2021-06-11 格物汽车科技(苏州)有限公司 Highway toll collection method capable of improving high-speed traffic efficiency

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003098556A1 (en) * 2002-05-15 2003-11-27 Pa Consulting Services Limited A system for evaluating a vehicles usage within zones
CN101799982A (en) * 2010-03-30 2010-08-11 山东康威通信技术股份有限公司 Automatic detecting and supervising management system and method for occupying-road of large-size vehicles on highway
US20130006723A1 (en) * 2011-06-29 2013-01-03 Mcgowan Iii Thomas B Tolled roadway and method for operating a roadway tolling system
CN104036279A (en) * 2014-06-12 2014-09-10 北京联合大学 Intelligent vehicle running control method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003098556A1 (en) * 2002-05-15 2003-11-27 Pa Consulting Services Limited A system for evaluating a vehicles usage within zones
CN101799982A (en) * 2010-03-30 2010-08-11 山东康威通信技术股份有限公司 Automatic detecting and supervising management system and method for occupying-road of large-size vehicles on highway
US20130006723A1 (en) * 2011-06-29 2013-01-03 Mcgowan Iii Thomas B Tolled roadway and method for operating a roadway tolling system
CN104036279A (en) * 2014-06-12 2014-09-10 北京联合大学 Intelligent vehicle running control method and system

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10766493B2 (en) 2015-11-04 2020-09-08 Volkswagen Aktiengesellschaft Method and automatic control systems for determining a gap in traffic between two vehicles for a lane change of a vehicle
CN108349496A (en) * 2015-11-04 2018-07-31 大众汽车有限公司 Method and control system for the traffic gap for determining the replacement track for vehicle between two vehicles
CN108349496B (en) * 2015-11-04 2021-10-15 大众汽车有限公司 Method and control system for determining a traffic gap between two vehicles for lane change of a vehicle
CN105374206B (en) * 2015-12-09 2017-12-08 敏驰信息科技(上海)有限公司 A kind of system and its method of work of active Transportation Demand Management
CN105374206A (en) * 2015-12-09 2016-03-02 敏驰信息科技(上海)有限公司 Active traffic demand management system and working method thereof
CN108688660A (en) * 2017-04-06 2018-10-23 丰田自动车株式会社 Range of operation determining device
US10414397B2 (en) * 2017-04-06 2019-09-17 Toyota Jidosha Kabushiki Kaisha Operational design domain decision apparatus
CN108688660B (en) * 2017-04-06 2021-07-30 丰田自动车株式会社 Operating range determining device
CN109307861A (en) * 2017-07-28 2019-02-05 比亚迪股份有限公司 Vehicle, vehicle positioning method and mobile unit
CN112602122A (en) * 2018-08-24 2021-04-02 日本电信电话株式会社 Lane pricing system, lane pricing device, lane pricing method, and lane pricing program
CN112602122B (en) * 2018-08-24 2023-08-11 日本电信电话株式会社 Lane pricing device, method, and recording medium
US12051279B2 (en) 2018-08-24 2024-07-30 Nippon Telegraph And Telephone Corporation Lane pricing system, lane pricing device, method, and program
CN112950800A (en) * 2021-03-29 2021-06-11 格物汽车科技(苏州)有限公司 Highway toll collection method capable of improving high-speed traffic efficiency

Also Published As

Publication number Publication date
CN104504902B (en) 2016-05-04

Similar Documents

Publication Publication Date Title
CN104504902B (en) Vehicle uses right of way, right of way computational methods and the road charging method based on right of way
Tsugawa et al. Energy ITS: another application of vehicular communications
CN104794919B (en) A kind of autoroute track resource real-time optimization collocation method
CN105118320B (en) Urban road section traffic guidance method and device based on vehicle-road cooperation
WO2012096063A1 (en) Traffic-flow simulation apparatus, traffic-flow simulation program, and traffic-flow simulation method
CN104678779B (en) Tramcar runs analogue system and method
CN102071609B (en) Crossing pre-signal lane
CN100447335C (en) &#39;One-road one-line straight movement type&#39; public transport system station and crossing collaborative design and controlling method
CN105788312B (en) A kind of through street variable speed-limiting control method based on bus or train route collaboration
CN103258438A (en) Intelligent going-out and best carport navigation system and navigation method thereof
Wu et al. Energy and emission benefit comparison of stationary and in-vehicle advanced driving alert systems
CN102360530B (en) Method for checking speed consistency for basic road sections of collection and distribution harbors of port
CN102542811A (en) Method for determining step-by-step speed limit value of exit ramp of freeway
CN104192148A (en) Main road speed planning method based on traffic signal information prediction
CN102505593B (en) Deep length determining method of passageway
Kiran et al. Critical analysis of speed hump and speed bump and geometric design of curved speed hump
CN116229762A (en) Intersection right-turning collision early warning method based on intelligent luminous line
Chen et al. Review on driverless traffic from management perspective
Tsugawa An overview on energy conservation in automobile traffic and transportation with ITS
Hewitt The calculation of congestion taxes on roads
Carsten et al. UK work on automatic speed control
Wang et al. A control strategy of urban expressway under CVIS
Tsugawa A survey on effects of ITS–related systems and technologies on global warming prevention
CN201946117U (en) Pre-signal lane at intersection
Korr et al. Impact analysis of speed humps on Indian roads

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant