178 results about "Time headway" patented technology

The present invention extends to methods, systems, and computer program products for monitoring signalized traffic flow. A processor in a sensor system or traffic controller interface estimates the time-of-arrival and other traffic flow estimates of one or more vehicles to an intersection stop bar, while the vehicles are within a continuous range of one or more transducers view of the sensor system. A level of efficiency and safety within the signalized traffic flow is estimated by the sensor system based upon one or more of the estimated time-of-arrival and other flow variables estimates and then communicated to the control unit of the traffic signal system. Other flow estimates for each vehicle include but are not limited to: position relative to the stop bar, lane position, velocity, acceleration, time headway and classification.

The invention discloses an optimization method of an intersection dynamic comprehensive evaluation and signal control system based on a real-time simulation model. Statistical analysis is performed on an intersection vehicle arrival time distribution law and a saturation time headway distribution law, simulation control is performed on vehicles monitored in real time, analytical calculation of traffic flow parameters of an intersection such as mean queue length, queue time and travel vehicle speed, and characteristics such as vehicle exhaust, oil consumption and noise, and acquired information is shared and an optimized signal control scheme is implemented by a third party control platform. The method has the advantages that a real-time data acquisition function is realized by test coils embedded in interfaces at the near end and the far end of an intersection entrance road; the simulation model adopts vehicle arrival and green light termination as triggering conditions of starting a simulation system traffic flow parameter configuration; a saturation time headway is adopted as a time series distribution basis of vehicle leaving; simulation car following and lane changing behaviors are realized by a series of algorithms; and a traffic simulation function has timeliness, accuracy and rapid response.

The invention discloses an automotive adaptive cruise control method taking multiple targets into consideration. A layer control strategy is utilized, upper layer control can decide an expected longitudinal acceleration according to a target vehicle and a current state of a controlled vehicle, and lower layer control can track the expected longitudinal acceleration through a reverse recursion method. The automotive adaptive cruise control method comprises the following steps: a mutual longitudinal dynamitic model between two vehicles is established, a design model predicating controller can obtain the expected distance between two vehicles according to a constant time headway strategy, a model prediction control algorithm is utilized to decide an expected longitudinal acceleration for tracking the expected distance between the two vehicles, vehicle control work conditions are divided into a driving work condition and a braking work condition, reverse longitudinal dynamic models for the two work conditions are established respectively according to a vehicle driving equation, an expected throttle percentage is obtained according to the vehicle reverse longitudinal dynamic model and the expected acceleration in the driving work condition, and an expected brake pedal openness is obtained according to the expected acceleration in the braking work condition.

A computer-implemented method for controlling a host vehicle having a vehicle control system that controls motion of the host vehicle relative to a preceding vehicle that is immediately ahead of the host vehicle. The method includes determining a relative headway distance and a relative velocity between the host vehicle and the preceding vehicle, and an acceleration rate of the preceding vehicle. The method includes receiving message packets transmitted from a leading vehicle and the message packets contain parameters of the leading vehicle including an acceleration rate of the leading vehicle. Further, the method includes calculating an acceleration control rate for the host vehicle to maintain the headway reference distance between the host vehicle and the preceding vehicle, based on the relative headway distance, the relative velocity, the acceleration rate of the preceding vehicle, and the acceleration rate of the leading vehicle. The acceleration rate is output to a vehicle controller to control motion of the host vehicle.

A control unit sets a front-end collision risk of a subject vehicle against a front vehicle in accordance with a time headway of the subject vehicle and a margin time to front-end collision of the subject vehicle, and a rear-end collision risk of the subject vehicle by a rear vehicle in accordance with a time headway of the rear vehicle and a margin time to rear-end collision of the subject vehicle, the margin time to rear-end collision having a larger weight than that of the margin time to front-end collision in the front-end collision risk against the front vehicle. Brake control and alarm control are performed in accordance with the front-end collision risk against the front vehicle and the rear-end collision risk by the rear vehicle.

The invention relates to a method for acquiring the mean delay of an urban road junction. The method comprises the following steps of: (1) double section selection: firstly, respectively mounting a plurality of cameras at an inlet passage and an outlet passenger of a junction, and then drawing a virtual detection frame used for detecting vehicles; (2) vehicle detection and traffic flow counting: carrying out information acquisition by utilizing the virtual detection frame, and carrying out vehicle detection in each frame of an acquired video; (3) queue length calculation: detecting the changes of time headway by adopting the virtual detection frame so as to distinguish queue vehicles and non-queue vehicles; and (4) delay value calculation according to a one-to-one principle: calculating according to last data in a inlet passage detector recording list, adopting a calculation policy and eliminating an accumulated error so as to ensure that an error is controlled within the range of theperiod without influencing other periods. The invention has the advantages of simple and convenient calculation, high operation speed, good stability, high reliability, and the like.

The invention discloses an optimal autonomous vehicle off-ramp intention generation point calculation method, which comprises the following steps: (Step 1) a latest multi-lane change execution point is determined; (Step 2) a multi-lane change success rate is calculated; (Step 3) an off-ramp intention generation point is optimized. The optimal autonomous vehicle off-ramp intention generation pointcalculation method enables a lane-changing autonomous vehicle to judge and determine the position of an optimal off-ramp intention generation point according to time headway distribution and the speedof the lane-changing autonomous vehicle and find an appropriate lane change opportunity to carry out lane change, on one hand, a high lane change success probability can be realized to guarantee thesafety of driving, on the other hand, the position of the off-ramp intention generation point can be appropriately adjusted, so that the off-ramp vehicle can be changed to a low-speed lane in time, consequently, the influence of off-ramp traffic on main lane traffic is reduced, and the traffic capacity of an expressway section is improved.

The invention discloses an intersection signal timing optimization method based on the queue length of vehicles. The maximum queue length is calculated according to the queue length of the vehicles at the end of a red light, according to the maximum queue length, green time required by a phase position is calculated, according to the green time of the phase position, a signal timing dual-loop structure is optimized, and a nesting phase position is made; compared with classical time-headway-based inductive control, the method obtains a better effect, is not sensitive to queue length error estimation, and can still obtain a good control effect even if some errors exit.

The invention relates to a vehicle adaptive cruise control method, device and system and an automobile in order to solve a problem of too small vehicle following time headway caused by acceleration control overshoot and response delay during vehicle following. The vehicle adaptive cruise control method comprises the steps of obtaining an actual vehicle speed and an actual accelerated speed, an actual vehicle speed of a target vehicle in front of a vehicle, an actual vehicle following distance between the vehicle and the target vehicle and an expected vehicle following time headway input by a user; determining a target accelerated speed of the vehicle according to the actual vehicle speed of the vehicle, the actual vehicle following distance, the actual vehicle speed of the target vehicle and the expected vehicle following time headway input by the user; determining whether the vehicle is in a starting crawling vehicle following condition or not according to the actual accelerated speedand the target accelerated speed; if the vehicle is in the starting crawling vehicle following condition, calculating an accelerated speed reducing amount according to the actual accelerated speed and the target accelerated speed; and controlling a brake system of the vehicle to perform braking moment control according to the accelerated speed reducing amount.

The invention provides an intersection dynamic signal timing optimization method based on time headway. The method comprises the following steps: 1, according to monitored vehicle passing data, an intersection phase ID is acquired; 2, a lane group is defined, that is, in the certain phase, all lanes with right of way in the same road section are defined as one lane group; 3, a core release lane in the phase is searched in the lane group, and if all phases of a lane have the right of way, the lane is removed from the lane group; 4, the flow of each lane in the lane group is calculated; 5, the time headway for phase key lanes in one period is acquired; and 6, the phase waste time is calculated, and the time of a green light is correspondingly adjusted. Through the time headway change in one period, an intersection passing signal timing scheme is analyzed, the corresponding given timing scheme is dynamically optimized in real time, and an important role is played in improvement of the operation efficiency of the whole traffic system.

The invention discloses a hidden Markov chain based intersection real-time saturation flow rate estimation method. The method includes steps of a, collecting traffic flow data, including time headway itself, influencing saturation time headway; b, training parameters of a hidden Markov chain model through the collected traffic flow data; c, performing real time collection on time headway in front of a stop line of the intersection, estimating a hidden time headway state behind a time headway sequence and obtaining a continuous stable time headway sequence; d, averaging the stable time headway sequence and utilizing the reciprocal of the average value as the saturation flow rate corresponding to the stop line. The method provided by the invention can be used for real time estimation of the saturation flow rate and provides parameter basis for traffic control.

Provided is a full-induction type comprehensive vehicle waiting control method, which is targeted for a cross intersection, entrance lanes and exit lands of which cannot be expanded, and is characterized by carrying out traffic operation organization by utilizing 2 main signal phases, 4 pre-signal phases and 2 pedestrian phases, establishing two kinds of alternative phase display orders, summarizing 6 green light time distribution principles, arranging a near-end detector and a far-end detector for each lane in the upstream of a main signal stop line in each entrance direction, collecting time headway data in real time, managing green light time of the pre-signal phases according to judgment results of five traffic incidents and managing green light time of the main signal phases according to the judgment results of the five traffic incidents. The method can help drivers understand instructions of traffic control facilities correctly, makes full use of pass space resources of a comprehensive vehicle waiting area, and gives a quick response to dynamic changes of pass demands of motor vehicles, thereby facilitating eliminating traffic accident hidden troubles and improving pass efficiency of the intersection.

The invention discloses a traffic signal lamp green light duration determination device, method and system, and relates to the field of traffic information perception and control. The method comprisesthe following steps: calculating to obtain the maximum number of detained vehicles of a lane group by utilizing the obtained number of driving-in vehicles and the obtained number of driving-out vehicles; calculating a saturated headway by utilizing the obtained time interval; acquiring speed and position information of the vehicle of the vehicle-mounted unit; comparing to obtain a key traffic flow; and calculating the green light duration by using the key traffic flow, the preset starting loss time and the saturated headway. The state information of all vehicles in each lane of the intersection is obtained in real time by using the geomagnetic vehicle detectors arranged in each lane of the intersection and the vehicle-mounted units arranged on the vehicles; and the key traffic flow of thelane is determined according to the state information, and the green light duration is calculated by using the key traffic flow, the preset starting loss time and the saturated headway so that the problem of low vehicle passing efficiency caused by unreasonable intersection signal lamp timing can be effectively alleviated.

The invention discloses a method for predicting bus passenger waiting time range based on IC card data. The method comprises the following steps: step 1, a sample set is created; step2, RVM is modeling and the parameter calibration thereof are performed, steps, the time headways of the Bus A and Bus B on the second target station are predicted; the biggest characteristic of the invention comprises that the method can predict that the next bus which will arrive at some station at some point to some point, the blank of the bus arrival time range prediction is filled, the method has great innovative significance, and provides a more reasonable prediction method than the other patents; the method adopts IC card data to extract a mass of passenger information from a plurality of buses without using the vehicle-mounted GPS, the method is convenient and fast, the data processing cost is reduced, the IC card data can obtain the number of people who get on or off the bus at every station, so that the bus stay time at every station is obtained, and the above number and time can not be provided by the GPS data.

The invention discloses a real-time calculating method for saturation flow rate of a signal intersection. The real-time calculating method comprises the steps of calculating a time headway of vehiclesin an inlet channel in a period; if the number of the vehicles in the inlet channel in the period is lower than a vehicle threshold, calculating the saturation flow rate of the inlet channel in the period by means of an empirical saturation time headway; if the number of the vehicles in the inlet channel in the period is higher than or equal with the vehicle threshold, setting a saturation time headway threshold interval according to the vehicle type, thereby obtaining the time headway in the saturation state; if the number of the vehicles in the saturation state of the inlet channel in the period is lower than the vehicle threshold in the saturation state, calculating the saturation flow rate of the inlet channel in the period through the empirical saturation time headway; if the numberof the vehicles of the inlet channel in the saturation state in the period is higher than or equal with the vehicle threshold in the saturation state, calculating the saturation time headway of the inlet channel in the period, and obtaining the corrected saturation flow rate of the inlet channel in the period through a mean value correction method. The real-time calculating method improves calculation accuracy and satisfies a requirement for dynamically extracting the saturation flow rate.

The invention discloses a method for calculating the traffic capacity in a city expressway entrance interlacing region, and aims at filling a gap that there is short of a calculation method for effectively estimating the traffic capacity. The method comprises the following steps: 1, collecting related traffic parameters of an expressway interlacing region: 1), the mean time headway (shown in the description) of the traffic flow of an expressway trunk line Ls; 2), a critical time gap tC which allows ramp vehicles to merge into the expressway trunk line Ls; 3), the time headway th between two ramp vehicles; 4), the flow Q of the expressway trunk line Ls; 5), the distance L between a nasal tip N and a merging point of an accelerating vehicle La; 6), the design speed V1 of the expressway trunk line Ls; 7), the design speed V of a ramp; 2, calculating the probability distribution parameter K of the time headway of the expressway trunk line Ls; 3, building a method for calculating the traffic capacity of the ramp R; 4, improving the method for calculating the traffic capacity of the ramp R; 5, calculating the traffic capacity of the interlacing region through employing a formula (shown in the description), wherein CM is the traffic capacity of the interlacing region, the unit is vehicles / hour, and delta t is the time different of the ramp vehicle M2 and a trunk line vehicle M1 (unit is second).

The invention discloses a saturation flow rate calculating method for an urban road intersection. The method includes collecting traffic data of the urban road intersection; performing pre-treatment on the traffic data and storing result data obtained through the pre-treatment; performing real time calculation according to a Grubbs algorithm and storing average time headway of the urban road intersection in single cycle; according to a K-means clustering algorithm, performing clustering analysis on the average time headway of the urban road intersection in single cycle in identical weather conditions and acquiring a clustering analysis result; calculating the mean value of time headway in a saturation condition and acquiring the saturation flow rate of the urban road intersection in different weather conditions. The method provided by the invention improves precision of the saturation flow rate of the urban road intersection in different weather conditions.

The invention discloses a time headway-based road vehicle change model calibration method, a time headway-based road vehicle lane change decision making method and a device. The vehicle lane change model calibration method comprises the steps of obtaining measured data of a vehicle and a road, wherein the measured data comprises the fact whether the lane of the vehicle has adjacent lanes or not, distances between the vehicle and vehicles in the front and rear on the same lane and the adjacent lanes and speeds of related vehicles; determining a lane change direction and determining whether a lane change motive exists or not and a target lane according to a time headway; constructing a time headway-based logistic vehicle lane change model; and extracting condition data indicating lane changesuccess and lane change rejection of a target vehicle so as to calibrate the vehicle lane change model. The time headway-based road vehicle change model calibration method is low in complexity, strong in applicability, less in data quantity demand, high in calculation efficiency and good in simulation effect, is capable of obtaining reliable vehicle lane change models through less measured data of vehicles and roads to simulate vehicle lane change behaviors, thereby researching the vehicle lane change behaviors, predicting the traffic flow states and providing help to ease the traffic congestion, decrease the hidden trouble of traffic and reduce the resource waste.

The invention discloses an expressway variable speed limit control system and method for rear-end collision risk prevention and control, and relates to an expressway variable speed limit control system and method. The objective of the invention is to solve a problem that the highest speed limit of the expressway cannot be dynamically controlled because the influence of the traffic state on the traffic safety is not considered in the setting of the highest speed limit of vehicles on the expressway. The system comprises an information detection module, a control module and an information releasemodule. The information detection module is used for detecting a section traffic flow, occupancy, a vehicle speed, acceleration and time headway data of a road section in real time and feeding back the data to the control module; the control module is used for receiving the data detected by the information detection module, judging the rear-end collision risk level of the road section, calculating the highest speed limit value of the road section and outputting the highest speed limit value to the information release module; and the information release module is used for publishing the highest speed limit value and early warning information of the road section in real time, prompting a driver to adjust the driving speed in time and ensuring driving safety. The invention belongs to the field of traffic safety.

The invention provides a collecting method for road traffic parameters based on a video technique, in order to overcome the defects of the prior art of low detection accuracy and poor environmental adaptation. The parameters contain flow, time average speed, time occupancy, average time headway, and the like. A pattern drawn in a detection area has better relative brightness combined mode consistency under different light environments, so that the methods of background difference, inter-frame difference, and the like, need not to be adopted when the road traffic parameters are collected. Meanwhile, the operand is less and the detection precision and environmental stability are higher.

The invention relates to an intersection short-lane queue overflow identification method based on electric police data. The intersection short-lane queue overflow identification method based on the electric police data comprises the steps of: (1), obtaining the electric police data, and calculating the departure time headway of a vehicle; (2), in combination with the timestamp information that thevehicle passes through a parking line and the departure time headway obtained by calculation, describing double characteristics of proximity spacing and time headway fluctuation, so that a departuretime headway sequence variation point is identified, and estimating the vehicle queue length on each lane; and (3), analyzing a possible queue overflow type of an intersection in a condition that a left-turn short lane and an adjacent straight lane are different in queue length; and furthermore, performing subdivision by judging whether driving of a vehicle on an adjacent lane is blocked or not. The queue length of each lane is obtained by calculation based on a variable point analyzing theory; under different phase release rules, queue overflow identification algorithms based on rules are respectively established; therefore, queue overflow states in different types can be identified; and the intersection short-lane queue overflow identification method based on the electric police data inthe invention has the advantages of being definite in queue overflow classification, little in input data, wide in applicability and the like.

The invention provides a crossing signal phase scheme green light duration allocation method. Based on traffic flow data of lanes and saturated time headway, integrated computation is conducted to obtain the lowest green light duration requirements of driving directions of a crossing, and based on signal phase schemes, optimal solutions of the lowest green light duration requirements of phases areobtained. The method aims at the problem of allocation of green light duration of various phases of the signal schemes, based on the traffic flow data obtained by crossing detector equipment and saturated time headway information, the periodic lowest green light duration requirements of the lanes of an approach of unit time slots are calculated, according to canalization and light set information, the lowest green light duration requirements of the driving directions are determined, and the shortest green light duration of the signal phases are further solved according to the corresponding signal phase schemes in the time slots, so that a fixed signal phase scheme is allocated, a supporting foundation is laid for allocation of a sensing signal phase scheme, the signal scheme allocation efficiency is effectively improved, and crossing traffic jam conditions are alleviated.

The invention discloses a detection system for the unlawful act of using cell phones while driving. The detection system is arranged on a road and can be used for automatically detecting the suspected unlawful vehicles, the drivers of which use cell phones while driving; through comparing the interrelation of the time headways between the front and back adjacent vehicles on the same lanes in the traffic flow, the suspected unlawful vehicles, the drivers of which use cell phones while driving are identified; meanwhile, two identification coefficients of the vehicles, the drivers of which use cell phones while driving are obtained according to the test result and the unlawful act is judged preliminarily; the picture information of the suspected unlawful vehicles are sent to a manual screening platform; therefore, the manual screening workload can be reduced, and the efficiency and the judging accuracy can be improved.

The invention, which belongs to the technical fields of traffic data mining and application, provides a traffic-monitoring-data-based traffic capacity mining method of a road section. The method comprises: step one, acquiring traffic monitoring data of a designated research area of a city and a road section range requiring traffic capacity mining; step two, screening vehicle traffic data passing atarget road section, carrying out statistics based on vehicle models, and calculating an equivalent car conversion coefficient; step three, carrying out classification on monitoring data by using a day as a unit, carrying out lognormal distribution fitting to obtain a saturated vehicle head time interval of the road section, and calculating a single-day equivalent traffic capacity of the road section; and step four, calculating an average value of all-day traffic capacities of the road section in the research area and using the result as a motor vehicle traffic capacity of the road section. According to the invention, the traffic-monitoring-data-based traffic capacity mining method having advantages of simple steps, high calculation efficiency, and accurate result has the important practical significance in calibrating basic parameters of the road section in urban transportation system simulation and provides a powerful technical support for construction of an urban virtual transportation system test platform.

The invention discloses a single-point intersection signal timing plan evaluation method in an unsaturated state and belongs to the technical field of traffic control. The method includes obtaining measured values of different evaluation indexes before and after signal timing plan optimization in the unsaturated state, wherein each evaluation index includes time headway and delay; according to the measured values of the different evaluation indexes before and after signal timing plan optimization, calculating the difference values of the indexes before and after optimization on different phases of a single-point intersection; according to the difference values of the indexes before and after optimization on the different phases of the single-point intersection, evaluating the optimization directions of the different phases in the signal timing plan. According to the invention, by taking the time headway and the delay on the different phases of an entrance way of the single-point intersection as the evaluation indexes of the signal timing plan in the unsaturated state, the optimization directions of the phases can be indicated clearly and an optimized step size is obtained, so that the signal timing plan can be optimized according to the optimization directions of the different phases and phase utilization rate can be increased.

The invention discloses a congested road section intelligent network connection vehicle special lane control method based on traffic simulation, which comprises the following steps of: acquiring basic traffic parameters such as road section traffic capacity, speed, time headway and the like and correlativity thereof, and detecting road traffic flow density and intelligent network connection vehicle permeability; determining a road section congestion critical condition, and judging a road section traffic state; adjusting the layout scheme of the special road for the intelligent networked vehicles, and calculating the traffic density of the road section and the permeability of the intelligent networked vehicles after the layout scheme of the special road is adjusted; according to the road section traffic density and the intelligent network connection vehicle permeability, simulating the road section traffic flow operation state; and by taking the minimum total passing time of the road vehicles as an optimization target, searching an optimal control parameter, and determining a layout control scheme of the intelligent network connection vehicle special lane of the congested road section. The intelligent network vehicle special lane is adjusted in time, the total traffic capacity of road vehicles is minimum, traffic congestion is relieved, and the operation efficiency of a traffic system is improved.

The invention discloses an integrated road traffic information acquisition system including a noise monitoring unit, a video traffic flow detection unit, a data processing and storage unit and a background management unit; the noise monitoring unit records the traffic noise data including weighted sound pressure level data, statistical sound pressure level data and spectral data, and the video traffic flow detection unit is used for acquiring the traffic flow, speed, vehicle type, time headway and other traffic data in real time. The data processing and storage unit is used for storing the traffic noise data acquired by the noise monitoring unit and the traffic flow data acquired by the video traffic flow detection unit. The background management unit is used for performing interactive operation with the data center and the monitoring terminal to localize the instructions of the monitoring terminal and the data center. The integrated road traffic information acquisition system has the characteristics of simple structure, high automation, and all-weather monitoring, can synchronously acquire the traffic noise data and traffic flow data in real time, and provides a large amount of basic data for the road traffic noise source strong emission model.