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There are 18 papers published in subject: > since this site started. |
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1. A Predictive Analysis of Wuhan Logistics Demand Based on Multiple Linear Regression Model | |||
DING Qi | |||
Transportation Engineering 22 March 2021 | |||
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Abstract:Data of Wuhan logistics demand from 2009 to 2019 was collected, uses the measurement software Stata to conduct statistical analysis of the data and test and modify the model, selects the optimal explanatory variable, and establishes and identifies the factors affecting the Wuhan logistics Demand as a multiple linear regression model. The result shows that the output value of the secondary industry is an important factor affecting wuhan logistics demand, and it is predicted that the overall logistics demand of Wuhan will show a rising trend in the next few years. | |||
TO cite this article:DING Qi. A Predictive Analysis of Wuhan Logistics Demand Based on Multiple Linear Regression Model[OL].[22 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754016 |
2. Traffic Operation Analysis of An Entrance Accessing the Urban Road with A Signalized Intersection | |||
Chhorn Chansocheat,Zhao Peng,Wang Dongwei,Sun Gangzhu | |||
Transportation Engineering 20 May 2020 | |||
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Abstract:Access between vehicle entrances and urban roads is one of the most important factors considered to ensure the safety and efficiency of the road operation.The entrance is usually located away from intersections to reduce the interference on urban roads. However, in practice, there are still some entrances that are set close the intersection. Therefore, this study conducted the traffic operational analysis of a controlled entrance accessing the urban road with a signalized intersection. A field investigation of the eastern entrance of Zhengzhou University was conducted. Video cameras were used to obtain traffic operation data. Poisson probability distribution was then utilized to describe the vehicles\' arriving process at the entrance using the Chi-square test. M/M/1 queuing model was utilized to analyze the queue length and waiting time of vehicles before the entrance barrier. Impacts of factors including the traffic light timing and phasing, barrier serving time, the distance between the entrance and the intersection on the traffic operation were analyzed. | |||
TO cite this article:Chhorn Chansocheat,Zhao Peng,Wang Dongwei, et al. Traffic Operation Analysis of An Entrance Accessing the Urban Road with A Signalized Intersection[OL].[20 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4752131 |
3. Pedestrian Accommodation in Intersection Signal System: A Rule-based Dynamic Pedestrian Control Strategy | |||
NI Ying,LI Keping,DENG Tengyun | |||
Transportation Engineering 04 May 2016 | |||
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Abstract:In intersection signal timing, pedestrian phase is quite often treated as a "slave" of the vehicle phase, resulting in unnecessary delays and safety problems. It is highly required to accommodate pedestrians in the signal system, and the development of automated pedestrian detection makes it be applicable. A rule-based dynamic pedestrian control (DPC) strategy accommodating pedestrian in intersection signal system has been proposed in the study. Phase structure including 8 vehicle phases and 4 pedestrian phases for a four-leg intersection has been introduced, and a set of rules regulating phase combination, phase sequence, and phase transition (internal and external) has been established. Dynamic pedestrian clearance interval has also been proposed. Different from previous control strategies, pedestrian demand is a decisive factor for signal timing optimization with consideration of pedestrian safety and comfort. According to simulation results, DPC is beneficial to reduce traffic delay at intersections crossed by a major street and a minor street. | |||
TO cite this article:NI Ying,LI Keping,DENG Tengyun. Pedestrian Accommodation in Intersection Signal System: A Rule-based Dynamic Pedestrian Control Strategy[OL].[ 4 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4686089 |
4. Deriving OD matrix from Railway ticket records based on merge sort method | |||
LIN Ruixi,Wu Jianping,Wang Jiaxi,LIN Boliang | |||
Transportation Engineering 07 October 2014 | |||
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Abstract:In a transportation system, OD pairs are usually accumulated by large quantities of primary records. The records may come from train tickets, freight invoices, and flight trip tickets etc. In 2013, 2.075 billion passengers are transported by China railway. Each train ticket contains information of origin and destination stations, train number, and train class etc. Only several fields of information, such as origin and destination, are required according to specific research purposes. The rest of the fields are unnecessary and need to be merged. A direct merging method in which each record compares with all existing OD pairs will consume a lot of time when there are large quantities of records. This work will propose a sorting-based merging method, which applies to general OD matrices. The time complexity is scale of O(NlogN) . For tests, 30 samples are used for numerical analyses. The results show that the efficiency is far better than that of the direct merging method. | |||
TO cite this article:LIN Ruixi,Wu Jianping,Wang Jiaxi, et al. Deriving OD matrix from Railway ticket records based on merge sort method[OL].[ 7 October 2014] http://en.paper.edu.cn/en_releasepaper/content/4612327 |
5. An approach to merging railway ticket records into origin-destination pairs based on sparse matrix characteristic | |||
LIN Ruixi,LIN Boliang | |||
Transportation Engineering 18 August 2014 | |||
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Abstract:This work describes a data merging method under the background of railway tickets data integration. Origin-destination (OD) pairs are fundamental data in transportation engineering, and are widely used in various applications. For example, predictive OD pairs of the long-term future are the basis of optimizing transportation network design. Optimization of transportation plans also relies on existing OD pairs. The size of an OD matrix is always huge in a real transportation system. Each element of the matrix, i.e. an OD pair, is accumulated by numerous passenger tickets or freight invoices. The size of an OD matrix is huge in real transportation systems. In a railway system, each element of the matrix, i.e. an OD pair, is accumulated by numerous passenger ticket or freight invoices. In 2013, China railway system transported 2.075 billion passengers. In other words, an equivalent number of tickets were sold. Each ticket consists of information on the name of origin and destination, train number, and seat class etc. Similarly, a railway freight invoice consists of information on the name of origin and destination, freight category (e.g. coal, oil, grain, and ore), and volume etc. Obviously, the tickets usually contain some identical fields of information. For example, two tickets can share the same origin and destination. Researchers use only particular fields of the tickets for different analysis purposes. Consequently, an effective approach is needed to merge the ticket records based on interested keywords and creates the corresponding compressed OD matrix. A simple direct merging method costs a lot of computations. This work proposes an effective and efficient approach, named origin-associated merging, to merge ticket records based on the sparse matrix characteristic. For experiments, 30 samples are created according to the characteristic of China railway passenger flow, ranging from 200 thousands to 6 million records with a step of 200 thousands records. The experimental results show that the time using origin-associated merging is about 1% of that of direct merging. It is worth mentioning that the number of passenger tickets in China railway system is approximately 6 million per day. | |||
TO cite this article:LIN Ruixi,LIN Boliang. An approach to merging railway ticket records into origin-destination pairs based on sparse matrix characteristic[OL].[18 August 2014] http://en.paper.edu.cn/en_releasepaper/content/4606634 |
6. Ramp Metering with Entrance gap Restriction | |||
Li Xingang | |||
Transportation Engineering 19 February 2014 | |||
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Abstract:In this paper, a new ramp metering strategy is proposed. It restricts the entrance of on-ramp vehicle by space gap. The vehicle from on-ramp can enter into the main road only when the space gap on the main road is large enough. The effectiveness of the new strategy is verified by cellular automata traffic simulation model. The simulation results show that the saturated flux of the main road will be high and not drop by introducing large entrance gap restriction value. The ramp metering strategy with entrance gap restriction is effective. | |||
TO cite this article:Li Xingang. Ramp Metering with Entrance gap Restriction[OL].[19 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4586074 |
7. Car Capacity near a Curbside Stop with Mixed Traffic Flow | |||
YANG Xiaobao,HUAN Mei | |||
Transportation Engineering 11 January 2013 | |||
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Abstract:This paper proposes a car capacity model for mixed traffic flow near the curbside stop. When a bus dwells at the stop in the non-motor lane, bicycles will change to the motor lane. Thus, the presence of a stopped bus creates a temporary car-bicycle conflict, reducing the road capacity. In addition, the car-bus conflict takes place when a bus departs from the stop to the motor lane. The conflict between different streams can be represented by an M/G/1 queue. Car capacity near the stop can be derived by iteratively computing the service time of the M/G/1 queue. The analysis shows that both bus stream and bicycle stream have significant effects on car capacity. | |||
TO cite this article:YANG Xiaobao,HUAN Mei. Car Capacity near a Curbside Stop with Mixed Traffic Flow[OL].[11 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4511377 |
8. Car Delay Time near a Curbside Stop under Mixed Traffic Condition | |||
YANG Xiaobao,HUAN Mei,FAN Aihua,DONG Ling,LI Ming | |||
Transportation Engineering 01 January 2013 | |||
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Abstract:This paper proposes a delay model to cars under mixed traffic flow near the curbside stop based on queuing theory. Bus stream system is described by an M/M/k queue and the service counter is the bus stop. The conflict between different streams at the stop is developed by the advanced Markovian model with unequal arrival rates and unequal service rates for customers of two major types. The delay to cars near the stop under mixed traffic flow can be derived by the queuing models. The average car delay is estimated as the sum of the average delay at the conflict points between different streams, and the delay resulting from following the slower bicycles that merged into the motorized lane. Car delay model is the function of three types of traffic streams with buses, cars and bicycles. The proposed model may be applicable to design and operational analysis of bus stops in other Asian developing countries. | |||
TO cite this article:YANG Xiaobao,HUAN Mei,FAN Aihua, et al. Car Delay Time near a Curbside Stop under Mixed Traffic Condition[OL].[ 1 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4511337 |
9. Modeling stochastic multiple equilibrium behaviors on urban traffic networks | |||
ZHAO Hui,GAO Ziyou | |||
Transportation Engineering 06 December 2012 | |||
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Abstract:In this paper, multiple traffic equilibrium with both competition and cooperation behaviors in stochastic environments is concentrated. Three different types of players, including Stochastic User Equilibrium (SUE) player, Stochastic System Optimum (SSO) player and Stochastic Cournot-Nash (SCN) player are simultaneously considered when the players are presumed to make routing decision with other players' perceptions of travel times. By formulating the stochastic multiple equilibrium as Variational Inequalities (VI), the multiple routing behaviors on urban networks is analyzed. Diagonalization technique is adopted to solve the VI problem arisen form the multiple traffic equilibrium model. And numerical examples are included to demonstrate the proposed models. | |||
TO cite this article:ZHAO Hui,GAO Ziyou. Modeling stochastic multiple equilibrium behaviors on urban traffic networks[OL].[ 6 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4501284 |
10. Reliability of estimating equilibrium speed-spacing relation with trajectory data | |||
WANG Hao,YANG Wanbo | |||
Transportation Engineering 23 November 2012 | |||
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Abstract:This paper studies the reliability of estimating the equilibrium speed-spacing relationship from the dynamic trajectory data. Empirical trajectories with long durations are used to extract the near equilibrium data and the dynamic trajectory data. Two car-following models, the Optimal Velocity Model (OVM) and the Intelligent Driver Model (IDM) are applied for the model calibration from the individual trajectory. A root mean square error based indicator is introduced to measure the performance of the model estimation for the equilibrium speed-spacing relationship. Seven factors that influence the model estimation are presented, and the correlations between factors and estimation performance are analyzed based on the ordered logistic regression. It is found that the OVM performs the best in estimating the equilibrium speed-spacing relationship. The results of ordered logistic regression indicate that long trajectory duration and multiple dynamic types are beneficial to the reliability of the estimation for the equilibrium speed-spacing relationship. | |||
TO cite this article:WANG Hao,YANG Wanbo. Reliability of estimating equilibrium speed-spacing relation with trajectory data[OL].[23 November 2012] http://en.paper.edu.cn/en_releasepaper/content/4496494 |
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