Traffic management systems: A classification, review, challenges, and future perspectives

Abstract

In cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economic development, traffic accidents, increase in greenhouse emissions, time spent, and health damages. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. Traffic management systems are composed of a set of application and management tools to improve the overall traffic efficiency and safety of the transportation systems. Furthermore, to overcome such issue, traffic management system gathers information from heterogeneous sources, exploits such information to identify hazards that may potentially degrade the traffic efficiency, and then provides services to control them. With this question in mind, this article presents a classification, review, challenges, and future perspectives to implement a traffic management system.

Multiagent Routing Simulation with Partial Smart Vehicles Penetration

“…(3) calculate initial routes (average speeds from line 2); (4) SIMULATION_CLOCK :� 0; (5) repeat (6) EVENT_TIME, EVENT :� findmin(NextEdge(),NextUpdate()); (7) SIMULATION_CLOCK :� SIMULATION_CLOCK + EVENT_TIME; (8) if EVENT �next_edge then (9) UpdateAgentsAndVelocities(); (10) if NODE � DESTINATION then (11) RemoveVehicle(); (12) end (13) end (14) if EVENT �next_update then (15) foreach vehicle ∈ VEHICLES do (16) if vehicle is smart then (17) KShortestPathRerouting(); Journal of Advanced Transportation (1) How does the total travelling time within the city change with increasing smart cars penetration and the number of agents? Congestion avoidance mechanisms provide a significant advantage for smart vehicles but, since rerouting decisions are made locally, individuals in smart populations may diminish gains of other smart agents.…”

“…In contrast, centralized infrastructure-based systems focus on utilizing RSUs and an optional Traffic Management Center (TMC) to provide vehicles with wide area traffic data through V2I communication. De Souza also provides second breakdown level based on delivered service [16]:…”

Semantic Management of Urban Traffic Congestion

“…Incidents such as accidents, planned roadwork, parking on the roads, and breakdowns [12] can contribute further to congestion. The weather, poorly configured and timed traffic management systems and special events are also incidents that can increase the congestion [13]. However, there have been laws describing the nature of peak-hour congestion.…”

The role of Electronic Transportation Management Systems in Seaport Digitalization

“…The first one is vehicle-to-vehicle (V2V) communication, used when the vehicles communicate among themselves without the need for any infrastructure. The second one is vehicle-to infrastructure (V2I) communication, used when a vehicle needs to send its information or request some information to/from a central entity and also when a vehicle needs to access certain content in the Internet(De Souza et al, 2017).…”