Considerable experimental and theoretical research has been carried out in an attempt to design an automated highway system that can provide more eecient utilization of the highways and at the same time be safer and more comfortable than the current highway system. Here we present a uniied framework for carrying out safety calculations for the automated highway problem. We obtain suucient condi...

We in the business of administering the highway programs have been accused on numerous occasions of forgetting for whom we work, namely, the people who buy gas and supply the funds—the public. The collective “we” pertains primarily to the State Highway Com­ mission and the Bureau of Public Roads. We are the first to admit that we can do a better job in dealing with the public on highway transpo...

This paper uses the supervised learning techniques of linear regression and support vector machines in an attempt to predict the merging behavior of drivers on U.S. Highway 101 based on current traffic patterns. Using highway data from the Federal Highway Administration, the paper approaches the problem from numerous angles, eventually concluding that using a twostep approach achieves the best ...

The photologged database can provide an effective base for the management of information on construction and repair of highway and its auxiliary facilities. This paper is the design of the photograph database. The photograph data is collected with a mobile mapping system composed of the ChargeCoupled Device (CCD) cameras, the Global Positioning System (GPS), and the Inertial Navigation System (...

This chapter focuses on one aspect of economic growth: the post-construction effect of interstate highways on income and sales expansion. Using data for all Nebraska and Iowa counties, interstate highways are found to have the most positive economic impact on areas with larger populations; small areas are not likely to experience much more than short-term gains. This finding has significant imp...

We explore the relationship between VC-dimension and graph algorithm design. In particular, we show that set systems induced by sets of vertices on shortest paths have VC-dimension at most two. This allows us to use a result from learning theory to improve time bounds on query algorithms for the point-to-point shortest path problem in networks of low highway dimension, such as road networks. We...

We present longitudinal control laws for vehicles moving in an Intelligent Vehicle Highway System (IVHS) [1] [2]. In particular the scenario where cars move along the highway in tightly spaced platoons is considered. We present control schemes that perform the major longitudinal tasks that will be required from the lead vehicle of a platoon moving on an automated highway. More speci cally schem...

We introduce an improved algorithm to locate a segment highway such that the maximum city distance between a given set of n points is minimized (where the city distance is measured with speed v > 1 on a highway and 1 in the underlying metric elsewhere). We consider that such highway is built in a complex transportation system with H other highways and obstacles. The algorithm runs in O(nH(log n...

Given two sets of points in the plane, we are interested in locating a highway h such that an objective function on the city distance between points of the two sets is minimized (where the city distance is measured with speed v > 1 on a highway and 1 in the underlying metric elsewhere). Extending the results of Ahn et al. ([7]), we consider the option that there are already some built highways....

In this paper we modify our unsupervised anomaly detection algorithm [1,2] and apply it to highway traffic anomaly analysis. We propose a method to identify anomalies under a probabilistic framework. Instead of determining anomalies based on the size of each cluster, they are determined in a probabilistic framework. Moreover, we present our findings on using different features when analyzing re...