Abstract:In this paper, we propose both reactive and proactive balancing traffic path recommendation mechanisms, which we refer to as Bal-Traf and Abs-Bal, respectively. Bal-Traf is initiated when a certain output road segment located at any road intersection is detected in an overloaded situation. In the event that the existing traffic density of any output road exceeds its optimal capacity, Bal-Traf recommends that those vehicles that plan to pass over this road segment as next hop choose another, less congested outp… Show more
“…These protocols aim to distribute the traffic over the road network in a balanced fashion to eliminate causing traffic congestions. Bani Younes et al introduced two traffic balancing mechanisms, the Bal‐Traf and Abs‐Bal. The first mechanism compares the traffic density of each road segment with a predefined saturated traffic density.…”
Targeting several destinations on the same trip is commonly seen over the downtown areas. Several drivers leave their home or work everyday targeting multiple end-destinations for shopping or entertaining purposes. The sequence of visiting destinations can be selected randomly by the drivers, especially if they are less familiar with the area of interest or with multi-destinations trips.However, expert drivers that travel more frequently towards several destinations should be more cautious planning their trips. They consider the relative locations of these end-destinations and use their historical knowledge regarding the traffic over the connected road segments there. This paper proposes an efficient multi-destinations trip planning protocol (MDPP) that recommends drivers with the best sequence of destinations to visit. The proposed protocol considers the location of each destination and the relative distance between all located destinations. It also considers the traffic distribution over the investigated areas of interest to recommend drivers to avoid highly congested road segments or road segments that suffer traffic issue such as accident or emergency existence. From the experimental results, we can see that the MDPP protocol has selected the best path towards the targeted destinations compared with other common selected sequences. It has decreased the travel time, fuel consumption, and the gas emissions for different investigated scenarios. KEYWORDS downtown, multi-destinations, MDPP, VANETs, road efficiency, trip planner Int J Numer Model. 2019;32:e2548.wileyonlinelibrary.com/journal/jnm
“…These protocols aim to distribute the traffic over the road network in a balanced fashion to eliminate causing traffic congestions. Bani Younes et al introduced two traffic balancing mechanisms, the Bal‐Traf and Abs‐Bal. The first mechanism compares the traffic density of each road segment with a predefined saturated traffic density.…”
Targeting several destinations on the same trip is commonly seen over the downtown areas. Several drivers leave their home or work everyday targeting multiple end-destinations for shopping or entertaining purposes. The sequence of visiting destinations can be selected randomly by the drivers, especially if they are less familiar with the area of interest or with multi-destinations trips.However, expert drivers that travel more frequently towards several destinations should be more cautious planning their trips. They consider the relative locations of these end-destinations and use their historical knowledge regarding the traffic over the connected road segments there. This paper proposes an efficient multi-destinations trip planning protocol (MDPP) that recommends drivers with the best sequence of destinations to visit. The proposed protocol considers the location of each destination and the relative distance between all located destinations. It also considers the traffic distribution over the investigated areas of interest to recommend drivers to avoid highly congested road segments or road segments that suffer traffic issue such as accident or emergency existence. From the experimental results, we can see that the MDPP protocol has selected the best path towards the targeted destinations compared with other common selected sequences. It has decreased the travel time, fuel consumption, and the gas emissions for different investigated scenarios. KEYWORDS downtown, multi-destinations, MDPP, VANETs, road efficiency, trip planner Int J Numer Model. 2019;32:e2548.wileyonlinelibrary.com/journal/jnm
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.