Select Subject

All (8828)

Agronomy (158)

Animal Husbandry,... (64)

Aquatic Science (16)

Astronomy (36)

Aviation (22)

Basic Medicine (184)

Biology (504)

Chemical Engineering (103)

Chemistry (635)

Civil and Archite... (105)

Clinical Medicine (236)

Computer Science ... (924)

Dynamic and Elect... (121)

Earth Science (119)

Economics (67)

Education (31)

Electrics, Commun... (927)

Energy Science an... (67)

Engineering and T... (15)

Environmental Sci... (140)

Food Science and ... (63)

Forestry (36)

Hydraulic Enginee... (40)

Mechanics (240)

Metallurgical Eng... (32)

Mine Engineering ... (38)

Nuclear Science a... (21)

Pharmacy (98)

Physics (920)

Preventive Medici... (37)

Psychology (20)

Security Science ... (17)

Sports Science (6)

Surveying and Map... (15)

Textile Science a... (16)

Traditional Chine... (56)

Transportation En... (57)

Select/Unselect all

For Selected Papers

Saved Papers

Please enter a name for this paper to be shown in your personalized Saved Papers list


	1. A Predictive Analysis of Wuhan Logistics Demand Based on Multiple Linear Regression Model
	DING Qi
	Transportation Engineering 22 March 2021
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	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. Car Capacity near a Curbside Stop with Mixed Traffic Flow
	YANG Xiaobao,HUAN Mei
	Transportation Engineering 11 January 2013
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	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


	3. Reliability of estimating equilibrium speed-spacing relation with trajectory data
	WANG Hao,YANG Wanbo
	Transportation Engineering 23 November 2012
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	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


	4. Constraint Handling Methods for Management Systems of Pavement Maintenance and Rehabilitation
	He Zhi-qiang,Sun Xiao-ling
	Transportation Engineering 02 October 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:The rate of good level highway in the network is the most important evaluation criteria on the pavement maintenance and rehabilitation quality in China. In this paper, we propose two discrete optimization models in different rate of good level highway constraint handling Methods. These optimal decision models are formulated as linear integer programming problems with binary decision variables. The objective function and constraints are based on the pavement performance and prediction model using the Pavement Condition Index (PCI). Numerical experiments are carried out with the data from a highway system in Sichuan Province.
	TO cite this article:He Zhi-qiang,Sun Xiao-ling. Constraint Handling Methods for Management Systems of Pavement Maintenance and Rehabilitation[OL].[ 2 October 2008] http://en.paper.edu.cn/en_releasepaper/content/24512

Select/Unselect all

For Selected Papers

Saved Papers

Please enter a name for this paper to be shown in your personalized Saved Papers list

Second-level Subject

Air Transport(1)
Other Subjects of Transpo...(2)
Railway Transport(3)
Road Transport(9)
Road Works(16)
Shipping, Ships and Warsh...(3)
Traffic and Transportatio...(1)
Transportation Systems En...(19)
Water Transport(3)

Rank

Alert Name:
Alerting to:
Authentication email will be sent to your email address in 24 hours
Frequency:
Email Message Format:	Plain text Graphical(HTML)

Complete the form below and we will recommend the selected titles to your friends on your behalf. * Indicates a required field.
Your name*:
Your email address*:
Recipient's name*:
Recipient's email address*:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find the page(s) useful.

Your name:
Your email address:
Recipient's name:
Recipient's email address:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find this page useful.

Disclaimer: This message was sent to your friend using the "Send it to a friend" facility on the Sciencepaper Online’ WWW site, http://www.paper.edu.cn/en. The Sciencepaper Online is not responsible for the content of this email, and anything said in this email does not necessarily reflect the Sciencepaper Online's views.

	Check out RSS, or use RSS reader to subscribe this item