Headway distribution
225231573
Queue Based Headway Distribution Models at Signal Controlled Intersection under Mixed Traffic
Headway of vehicles during platoon dispersion at signalized intersection is one of the critical microscopic traffic characteristics in traffic flow theory. The distribution of the discharge headways of vehicles also has a significant impact on the traffic generation process in most of the microsimulation approaches. However, few studies have investigated the vehicle discharge headway for interrupted flow at signalized intersections under mixed traffic conditions. The present study uses data collected from 20 intersections in six cities for comprehensive analysis of discharge headway. A box and whiskers plot is generated for discharge headway to quantify its reasonable profile. The diagram shows that headway of vehicles decreases with the queue dispersion. A stable headway can be observed after the fifth vehicle position of a queue, giving a saturation headway of 2.05 s per vehicle. Six types of continuous distribution are tested to model the discharge headway distribution. A statistical investigation is also performed to verify the best fitted model for each vehicle position in a queue. The ranking of a best fitted distribution is done for each vehicle position as per the statistical significance. This study demonstrates the discharge headway characteristics and distribution at each vehicle position, which can be useful for traffic flow analysis and especially for improving microsimulation models.
Satyajit Mondal Ankit K Gupta
213430998
Time headway distribution for random sequential update TASEP with periodic and open boundaries
Abstract The temporal headway distribution for Totally Asymmetric Simple Exclusion Process (TASEP) with random sequential update is investigated. Considering the stationary/steady state of the process, exact formula for the step headway distribution is derived for conditions when the stationary measure is Bernoulli, i.e. for periodic boundaries and for open boundaries with entering boundary rate a and leaving boundary rate b satisfying a b 1 The step headway formula for general values of boundary rates is calculated numerically by means of the matrix product ansatz. The formula is applicable mainly for the model defined on finite small lattice representing short segment of complex network. In this case the dependency of the motion of individual particles is noticeable and cannot be neglected. The finite lattice results are compared to continuous time distribution obtained by means of the large L limit. It can be observed that the scaled distribution converges quite fast to continuous time distribution. However, in the case of rather small lattice the distribution significantly differs from the limiting one. Moreover, in the case of Bernoulli stationary measure, the distribution is not dependent on the position of the reference site on the lattice. Considering general values of boundary parameters, the shape of the distribution is influenced by the density profile of the process near boundaries. This influence vanishes with increasing lattice size.
Pavel Hrabak
126099505
Headway distribution for manually operated tollbooths in India in mixed traffic conditions
This paper presents a vehicle type specific headway distribution analysis at toll plazas under mixed traffic conditions. The aim of the paper is to provide headway distribution models that may be u.
Yogeshwar V Navandar Ashish Dhamaniya Dilip A Patel
213858555
Time Headway Distribution in Urban Expressway Merging Section Considering Velocity Division
Wenhui Dong Xianjie Luo Cheng-You Cui Hong-Li Bao
146068819
Analysis of Bicycle Headway Distribution, Saturation Flow and Capacity at a Signalized Intersection using Empirical Trajectory Data
Predicting the bicycle flow capacity at signalized intersections of various characteristics is crucial for urban infrastructure design and traffic management. However, it is also a difficult task because of the large heterogeneity in cycling behavior and several limitations of traditional capacity estimation methods. This paper proposes several methodological improvements, illustrates them using high resolution trajectory data collected at a busy signalized intersection in the Netherlands, and investigates the influence of key variables of capacity estimation. More specifically, it shows that the (virtual) sublane width has a significant effect on the shape of the headway distribution at the stop line. Furthermore, a new method is proposed to calculate the saturation headway (a key variable determining capacity) which excludes the cyclists initially located close to the stop line using a distance based rule instead of a fixed number (as is usually done in practice) It is also shown that the saturation headway is quite sensitive to the sublane width. Moreover, a new, empirically based method is proposed to identify the number of sublanes that can be accommodated in a given cycle path, which is another key influencing variable. This method yields considerably lower estimates of the number of sublanes than traditional methods, which rely solely on the (available) cycle path width. Finally, the authors show that methodological choices such as the sublane width and the method used to estimate the number of sublanes have a considerable effect on capacity estimates. Therefore, this paper highlights the need to define a sound methodology to estimate bicycle flow capacity at signalized intersections and proposes some steps to move toward that direction.
Transportation Research Record: Journal of the Transportation Research Board
Yufei Yuan Bernat Goni-Ros Mees Poppe Winnie Daamen Serge Paul Hoogendoorn
202154150
Analyzing start up time headway distribution characteristics at signalized intersections
Abstract Time headway distributions play an important role in analyzing driver behavior prediction, road service evaluation, traffic state estimation, et al. Thus, less attention was paid on the start up time headway distributions at urban signalized intersections. To bridge the gap, we proposed a novel framework with three parameter burr model and log logistic distribution model to analyze vehicle start up time headway distribution characteristics at signalized intersections. First, we collected a large amount of start up time headway samples at the signalized intersection located at Guangzhou city in China. Second, all the vehicle start up sample data have been processed and analyzed with three parameter Burr model and log logistic distribution curves. Third, we explored vehicle start up time headway distribution characteristics by considering and regard less of queuing positions. Last but not least, we have applied our model to analyze saturated time headway distributions, and estimate minimum green time for vehicle queues passing through intersections. The findings of our research can help transport authorities set more reasonable green time at intersections, and improve urban transportation commuting efficiency.
Qiang Luo Jie Yuan Xinqiang Chen Shubo Wu Zhijian Qu Jinjun Tang
199671545
Random Coefficient Models for Work Zone Headway Distribution
AbstractVehicle headways in work zones are disaggregated into two types in this study truck involved (e.g. car truck) and nontruck involved (e.g. car car) headways. Considering the possible effec.
Journal of Transportation Engineering, Part A: Systems
Jinxian Weng Xiafan Gan Gang Du
117370401
Roadside unit location for information propagation promotion on two parallel roadways with a general headway distribution
In this study, an analytical model for roadside unit (RSU) location is proposed. The objective of the model is to promote information propagation on two parallel roadways in vehicular ad hoc networks. The information propagation is achieved through multi hop vehicle to vehicle and vehicle to infrastructure communication. The relationship between the information travel time from one RSU to another and the distance between the two RSUs are derived. The RSU location problem is formulated as a shortest path problem and then as an integer linear programming. The proposed model is applicable for traffic flow with a general vehicle headway distribution. A detailed comparison between the proposed model and an existing RSU location model is conducted through Monto Carlo simulation experiments under different vehicle headway distributions, traffic densities, budget sizes, and road separation distances. The results indicate that the proposed model outperforms the existing model in all cases. Moreover, it is shown that it is necessary to consider the general vehicle headway distribution and road separation in RSU locations that are focused on information propagation promotion.
Yunyi Liang Zhizhou Wu Yu Tian Huimiao Chen
116529262
Headway distribution effect on gap acceptance behavior at roundabouts: Driving simulator experiments in a case study
Riccardo Rossi Massimiliano Gastaldi Claudio Meneguzzer
125417061
Speed volume relationship and headway distribution analysis of motorcycle (case study: Teuku Nyak Arief Road)
In many developing countries, transportation modes are more varied than the other country. For example, in Jakarta, Indonesia, in some roadway, motorcycle is the most dominant vehicle, with total volume is four times higher than a passenger car. Thus, the traffic characteristic in motorcycle dominated traffic differs from a common traffic situation. The purpose of this study is to apply the concept and theory developed to analyze motorcycle behaviour under motorcycle dominated traffic condition. The survey is applied by recording the traffic flow movement of research location at specified time period. The macroscopic characteristic analyzed in this research is a speed flow relationship based on motorcycle equivalent unit (MCU) Furthermore, a detail microscopic characteristic analyzed that is motorcycle time headway regarding traffic flow. MCU values computed were consists of motorcycle (MC) light vehicle (LV) and heavy vehicle (HV) Those values were calculated 1.00, 6.13 and 10.71 respectively. The speed and volume relationship result is showing a linear regression model with R2 value is 0.58, it can be explained that the correlation between two variables is intermediate. The headway distribution of motorcycle is compatible with the negative exponential distribution which fitted with the proposed theory for a small vehicle such as a motorcycle.
Eduardi Prahara Raka Adhi Prasetya