Resolving the problem of congestion roads is very challenging; however a way out of this problem will bring about many most wanted results like helping people not late to work; deliveries arrive on time and more. One approach to confront this task is letting the drivers be aware of congested roads online, so the drivers will be able to avoid going through the congested roads. This paper propose...

This study evaluates the impact of the 65-mph speed limit on traffic safety. Using data for the years 1981 to 1995 for all 50 states, a pooled time series analysis is conducted. Separate models are estimated for state fatality rates on four categories of roads: rural interstate highways, rural noninterstate roads, all roads except for rural interstate highways, and all roads. It is reported tha...

Roads cover a significant fraction of the land area in many municipalities. The public provision of roads means this land is exempt from the local property tax. Transferring roads from public to private ownership would not only remove maintenance costs from city budgets, but increase potential property tax revenue as well. This paper calculates the value of the land occupied by roads in sample ...

Habitat destruction and overhunting are two major drivers of mammal population declines and extinctions in tropical forests. The construction of roads can be a catalyst for these two threats. In Southeast Asia, the impacts of roads on mammals have not been well-documented at a regional scale. Before evidence-based conservation strategies can be developed to minimize the threat of roads to endan...

In this paper, we propose a fusion strategy for extracted roads from multi-aspect SAR images. The fusion strategy extends a system for automatic road extraction from SAR images based on line extraction and explicitly modeled knowledge, which has been developed for single SAR images. Due to the side-looking geometry of SAR, the visibility of roads is often limited by adjacent high trees or build...

Research for advanced traveler information systems (ATIS) has been focused on urban roads. However, research for short-term traffic prediction on all categories of highways is needed, as highway agencies expect to implement intelligent transportation systems across their jurisdictions. In this study, genetic algorithms were used to design time delay neural network (TDNN) models as well as local...

There is a consensus on the importance of rural roads when increasing economic growth and household welfare. However, little is known regarding the positive effect these roads will have on the welfare of households in Viet Nam. This paper aims to measure that effect. It is known that rural roads help households increase per capita income and working hours. The estimated impact of these roads on...

This study developed a methodology for generating good alternative locations for road networks using heuristic solution techniques. Locations for road networks are determined based on road standards, timber harvesting and transportation costs, and topographic conditions. The main access road route is designed first and then single stand access roads are located as branches. A Genetic Algorithm ...