Road congestion has become a major problem in cities in developing countries resulting in massive delays, wastage of fuel and road accidents. For proper handling it is essential to observe the road congestion patterns. Methods like on-road cameras, etc. require huge investments whereas crowdsourcing methods generate large amount of redundant data. This paper presents a new approach using event sensing to capture relevant crowdsourced data to estimate road traffic congestion and utilizes MapReduce for generating analytics efficiently.

Vehicles equipped with communication capability, allows for inter-vehicle communication. Vehicular ad hoc network(VANET) is a subclass of MANET having no fixed infrastructure and rely on nodes to provide network functionality. Vehicular ad hoc network is dominated by its unique characteristics of rapid but predictable topology changes with frequent fragmentation and small effective network diameter. Such networks on road often forms intermittent connections. The draw back of store-and carry forward is that it can serve unidirectional delay-tolerant communication. In this paper we have introduced a compass labeling scheme for broadcast communication in VANETs exploiting opportunistic intermittent bi-directional communication.

Location tracking of mobile entity becomes a research challenge for applications in vehicular networks, mobile sensor networks and mobile adhoc networks. The GPS based tracking in vehicular networks has limitations in certain scenarios such as inside tunnels, tall buildings, dense forests, etc. Tracking of fast-paced mobile entity (say mobile node) finds applications in vehicular networks such as chasing, hit-and-run accidents, etc. Connected dominating set(CDS) provides a virtual backbone in adhoc network. This paper uses connected dominating set(CDS) based virtual backbone in vehicular adhoc networks for tracking of fast-paced mobile node's location. We show that using a simple heuristics that the location updates for mobile node can be reduced to the tune of 40%.