Freeway Infrastructure Safety and Emergency Management System

In order to enhance the safety performance of five kinds of transportation infrastructures: pavement, bridge, tunnel, side slope and ancillary, a comprehensive freeway infrastructure safety and emergency management system was built in this research. Firstly, the system framework was illustrated. Secondly, the infrastructure safety index system was built. Thirdly, according to the different characteristic of five kinds of infrastructures, comprehensive safety evaluation models were proposed in order to evaluate the safety of freeway infrastructure. Fourthly, the system of emergency management and emergency plans were expounded. Finally, the system software was implemented based on the previous modules. This system has strong practicability, which can compensate for the deficiencies of the infrastructure detection in the past and provide a new informationalized management platform for freeway management.

Freeway Construction and Management Technology Research Based on the Data Net Toll-by-Weight Fees

This paper introduces the present our country freeway generally adopts a closed toll collection mode, and on the adoption of OD matrix estimation algorithm are explained and put forward the feasibility of estimation and correction. By analyzing of the integrity, reliability features of the network weight charge data, the paper discusses networking account weight fees data in-depth mining and development can make it a greater role in the freeway construction management and operation of the maintenance. The use of traffic simulation system combines the data of freeway weight fees, fee information and section traffic information to optimize the selection and provide a more solid basis for decision making on the overall freeway management and control programs. Full text of more comprehensive analysis and expounds the networking weight fees data in freeway construction and management application field, data analysis methods and application of technology route.

Methodology for Performance Optimization of Ramp Control Strategies through Microsimulation

Freeway ramp control has been successfully implemented since the mid-1960s as an efficient and viable freeway management strategy. However, the effectiveness of any ramp control strategy is largely dependent on site-specific customization and calibration, preferably before its deployment. A general methodology for such performance optimization of ramp control strategies is proposed in a microscopic simulation environment as an alternative to trial-and-error field experimentation. The applicability of the methodology is demonstrated by implementation on Minnesota's new stratified zone metering (SZM). Further, the effect of external factors, such as traffic demand variation and incidents, on SZM control and optimization results was also studied. Results show that the optimization methodology is highly effective depending on the optimization objective, test site characteristics, and demand levels.

Design of Archival Traffic Databases: Quantitative Investigation into Application of Advanced Data Modeling Concepts

Given the enormous quantities of data collected by intelligent transportation systems (ITS), transportation professionals recently have focused on developing archived data user services (ADUS) to facilitate efficient use of these data in myriad transportation analyses. Most ITS systems were designed by using a transactional database design, which is not well suited to support the ad hoc queries required by ADUS. Research investigated the application of data-warehousing concepts to better support the requirements of ADUS. A case study is presented in which an ADUS for the Hampton Roads Smart Traffic Center, the regional freeway management system, was redesigned from a transactional approach to one based on data warehousing. Test queries run by using both approaches demonstrated that dramatic increases in efficiency are achievable through the use of data-warehousing concepts in ADUS.