Scalable reactive vehicle-to-vehicle congestion avoidance mechanism

Abstract

The increasing popularity and acceptance of VANETs will make the deployment of autonomous vehicles easier and faster since the VANET will reduce dependence on expensive sensors. Many useful applications will be possible with the usage of VANETs, which will improve the safety and quality of trips for the owners of these vehicles. One of these applications is the avoidance of traffic congestion by smart dynamic rerouting. For scalability, current cloud-based solutions, like Google Maps traffic, update congestion levels after a time interval rather than providing real-time measurements. In this paper, we introduce a vehicle-to-vehicle congestion avoidance mechanism, which detects real-time congestion levels and reroutes vehicles accordingly to minimize their trip times. Our system is highly distributed and is, therefore, not subjected to the limitations of centralized congestion avoidance mechanisms. We show via simulation that our system can significantly decrease the trip times of vehicles as well as the average car density on the map. Our proposed system, with its checkpoint and offline path generation approaches, is more responsive to local congestion level changes and computationally less complex for least congested route calculations than state-ofthe-art congestion avoidance mechanisms.

Better safe than sorry: a vehicular traffic re-routing based on traffic conditions and public safety issues

“…In this case, the routes that they provide are individually optimized paths for each vehicle and the congestion is detected based on vehicles speed in different road segments [37]. For example, Google Maps, TomTom and Waze are navigation systems to suggest faster routes to users, based on overall traffic knowledge [17]. Sometimes, trying to avoid traffic congestion, these applications can guide passengers to unsafe areas, where there are cases of shootings, assaults, and even murder [7,25].…”

“…Recent studies [11,27] have shown that vehicular traffic re-routing is one of the key solutions to handle this problem, which is about suggesting alternative routes to improve the overall traffic efficiency. Google Maps, TomTom and Waze are existing smartphone based Vehicular Navigation Systems (VNS) that handle with traffic congestion by recommending the fastest routes for users by using current traffic information and historical traffic statistics [17].…”

Digital Forensics and Privacy-by-Design: Example in a Blockchain-Based Dynamic Navigation System

“…The problem of navigation in Vehicular Ad-Hoc Network (VANET) using only local information has been well studied in recent years. For example, [18] proposes a dynamic routing application and [19] offers a suboptimal offline rerouting solution while addressing the communication problems that might arise in VANET. In addition, [20] provides an anonymous and secure navigation system in VANET.…”

An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities

“…In [ 19 ], the authors describe a distributed real-time V2V congestion evasion technique. Congestion levels are detected and vehicles re-routed using congestion messages called request/receive messages (instead of beacon messages).…”