Abstract: Road traffic data is a fundamental element of intelligent traffic system. However, due to the high investment of the road sensor, the availability of the traffic data is so limited that it can’t satisfy the requirement of current situation. Using cellular phone information as road traffic data becomes an attractive alternative because of its low cost, widespread and high cover rate. Until now, there are several algorithms to process the cellular phone information and most of them present promising conclusion. However, in order to get the satisfying conclusion, nearly all of these methods depend on a high amount of sample, in which way will detract the real-time performance of the traffic regulation and control. This is we don’t want to see. In this paper, we proposed a process to collect the information of cellular phone based on the simulation of working mode of the real base station, i.e., putting an appropriate instrument on the side of the road to detect the cellular phone passing by. Using the data we got, then we proposed a method to classify the mobility of the cellular phone, which is the critical problem of the analysis of the cellular phone information. Two key attributes are the average vehicle velocity and the variance of the vehicle velocity.
Abstract: Terminals are important resources. They serve as a key role in transportation of people and goods in regional, national, and international commerce. Ensuring scheduled flight security and punctual is a basic requirement of civil aviation. In the premise that existing service resources unchanged, intelligent distribution and dispatch for passenger service resources in airport terminal building is an effective way to solve problems of delays for passengers. To study passenger departure processes in airport terminals, improve their operation, efficiencies, reduce delay, and improve service quality, a research on intelligent distribution for passenger service resources is developed using data integration methods, flow prediction method and intelligent simulation optimization algorithm.
Abstract: Effective assessment of traffic conditions is a key issue involved in alleviating freeway congestion, evaluating capital improvements and estimating travel time. Since the goals and objectives of assessment are inherently an expression of the various stakeholders affected by the traffic conditions, the assessment process and result must address the interests of all stakeholders. In this paper, a methodology and its application to assess traffic conditions on urban freeways are described. The methodology, which synthesizes Data Envelopment Analysis (DEA) and Analytical Hierarchy Process (AHP), can devise an overall traffic conditions assessment regarding various stakeholders’ preferences. Application of the methodology to six real-life freeway corridors in Jilin Province indicated that the stakeholders can gain new insight into the overall traffic conditions behind multiple performance measures with our method, and the assessment results is helpful in identifying transportation investment priorities for specific regions and improving resource utilization among competing sectors.
Abstract: Based on SO-DTA and one-destination evacuation, a cell-based regional evacuation model, which embeds CTM and point-queue model, is proposed in this paper. The road network is converted to the cell-node topology structure so as to reduce the constraints. The “traffic holding” problem also be solved in the model by an OSP constraint. And to improve the evacuation efficiency, contra-flow lane is imported. A numerical experiment is conducted to verify the proposed model and algorithm.
Abstract: By analyzing the traffic characteristics and traffic conflicts of the typical one-way-closure work zone on four-lane freeway, the queuing characteristics of vehicles are determined, and the Erlang distribution model which can describe the distribution of time headway is calibrated. The speed distribution characteristics of each component of the work zone are concluded, and the speed limit scales for these components are put forward based on the statistic analysis. The types of traffic conflicts are firstly concluded, and then the identification method of the rear-end conflicts’ severity degree based on TTC technique as well as the prediction model of rear-end conflicts based on Negative Binomial distribution are put forward. The research results are useful to the analysis of traffic conditions of work zones, and they can also be used to evaluate the safety situations of freeway work zones
Abstract: This paper presents a dynamic evacuation network optimization problem that incorporates crossing elimination strategy. Bottleneck problem at intersections during evacuation process is analyzed for the effective evacuation planning. The developed model is formulated as a system-optimum traffic assignment based on cell transmission model (CTM), which can effectively investigate the characteristics of randomness and dynamics of evacuation flow’s spatial and temporal distribution. The numerical results show that the model can provide crucial theoretical support for evacuation decision-making for traffic managers.
Abstract: Urban passenger transportation market in China now is composed by three public transportation modes, including the conventional bus, taxi and the subway (or light rail). There are both cooperation and competitive behavior existing among these three different transportation modes. This paper aims to describe how these three operators make their operational decisions in the competitive environment. A bi-level programming operational model is proposed to model urban passenger transportation operators’ decision behavior, which is based on the game theory to describe the behavioral conjectures among the management authority, different operators and passengers. The upper-level model described the management authority’ regulation on the fares of each mode, which aimed to achieve the comprehensive social objectives, indexed by the travel time cost, air pollution cost and energy consumption cost. The lower-level model described the three operators’ aiming to maximize the profit by determining the service frequency, which can reflect the operators’ cooperation and completive behavior under urban passenger transportation economic policy. A Logit model is proposed to analyze passengers’ mode choice behavior with the maximization of their travel utilities, which considers the total travel time, waiting time and total travel fare of each mode. This research will provide more evidence for urban passenger transportation development and contribute to urban passenger transportation economic policy establishment and implementation.
Abstract: Price transmission of transit service is a distinct mechanism with common characters. This paper aims to provide the nature and law of price transmission of transit service. The transmission of transit service prices is defined and transmission routes are classified into vertical and horizontal. The cost-push and demand-push are to drive the price carriers along transmission routes, which produces the price transmission network. Augmented Dickey-Fuller (ADF) and Granger co-integration test are used to measure the cost-push price transmission. For demand-push price transmission, the demand elasticity was used to model the relationship between transit demand and prices.
Abstract: Due to development in computer and information technology, data access and collection have becoming more and more convenient. In many cities’ transit system, transit vehicle GPS data and passenger IC card data could be provided. This paper focuses on the method that uses the passenger IC card data (only record once per trip) and transit vehicle GPS data to generate the transit OD matrix. After analyzing the characteristic of transit trips, the author gives the definition of continuity for a transit trip. Based on this definition, this paper then presents a search method to generate the transit OD matrix. The validity of this method has been tested in the modeling process for Zhengzhou city’s comprehensive transportation system. At the end, it is hoped that this research may give a useful lesson for other cities’ transportation modeling practice.