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This paper evaluates the entrance capacity and queueing delay for Automated Highway Systems through use of simulations and analytical modeling. Queueing statistics are also used to determine the sustainable capacity of alternative concepts, taking trip length distribution and spacing between ramps into consideration. Based on safety-spacing headways (produced in a separate analysis), the most promising concept utilizes platoons both on the highway and on on-ramps. However, it is unclear whether comparable capacity can be achieved on exit, when vehicles must be decoupled from their platoons, and whether it is safe for vehicles to enter the highway in closely spaced platoons. The analytical evaluation indicates that entrance/exit spacing on the order of one per 2 km or closer would be required to support highways with total capacity on the order of 20,000 vehicles per hour. Most likely, this would be achieved most efficiently if separate dedicated entrances are provided for automated vehicles, to minimize weaving on manual lanes.

Abstract-Cloud computing enables use of computing without user-side hardware, software and associated financial and knowledge requirements, except for the needs of a simple "webterminal" and access to the internet. Emerging economies can fully capitalize on this to start a "revolution" and leap-frog developed nations by skipping completely the several major computing architectures gone through in developed nations. An analogy is the leap-frogging, that has taken place with wireless telephony. We briefly introduce our research into streamlining India's grain supply chains and then discuss in detail on how cloud computing can play a pivotal role. Although the focus is on the portion of the supply chains between wholesalers and consumers, we also discuss how cloud computing can streamline the entire supply chains and how it offers leap-frogging opportunities for the entire society. The proposed use of webterminals for accessing the cloud for all computing needs is new, and we point out several high-impact research subjects.

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