To reduce the impact of congestion, it is necessary to improve our overall understanding influence autonomous vehicle. Recently, deep reinforcement learning has become an effective means solving complex control tasks. Accordingly, we show advanced that investigates how leading vehicles affect urban network under a mixed-traffic environment. We also suggest set hyperparameters for achieving bett...

Selecting the most appropriate traffic control strategy for incident congestion management can have a major impact on the extent and duration of the resulting congestion. This research investigated the effective-nesses of several control strategies on various incident conditions. The selected control strategies representing possible ITS technologies included traffic metering (ATMS), traffic div...

Over the next few years, driver behavior should become more informed with the advent and deployment of in-vehicle navigation systems. This paper analyzes systems that provide the driver the fastest path between his or her current location and final destination, updated in real-time to consider recurring and nonrecurring congestion. The traveler s full cost per trip is a bundle comprised of both...

Traffic congestion is a major urban transportation problem which occurs when the traffic volume exceeds the capacity of existing road facilities. The occurring of traffic congestion is due to the freedom of owning private vehicle, poor traffic facility and unrestricted urban population growth. In this study, identification of maximum flow and bottleneck path in Kota Kinabalu, Sabah, Malaysia wa...

Vehicular AdhocNETworks (VANETs) relies on continuous data exchange among vehicles and vehicles to roadside units (RSU) to aid road safety, route planning, etc. A transition from free flow to congested traffic on highways often spontaneously originates, despite the fact that the road could satisfy a higher traffic demand. The reasons for such a traffic breakdown are perturbations caused by huma...

In this thesis the lateral performance of heavy vehicle combinations, specifically longer combination vehicles, is discussed. The use of longer combination vehicles is promoted by their positive impact on the traffic congestion problem, as well as their economic and environmental benefits due to reduced fuel consumption and emissions. However, from a safety perspective, ther...

Over the next few years, driver behavior should become more informed with the advent and deployment of in-vehicle navigation systems. This paper analyzes systems that provide the driver the fastest path between his or her current location and final destination, updated in real-time to consider recurring and non-recurring congestion. The traveler’s full cost per trip is a bundle comprised of bot...

VANET is a subclass of MANET in which each vehicle acts as a node. In VANET Road Side Units (RSUs) are responsible for distributing group private keys and managing vehicles in a localized manner for every 100 to 300 m. Then, use a Hash Message Authentication Code (HMAC) to avoid time consuming CRL checking and to ensure the integrity of messages. Cooperativemessage authentication scheme is main...

In a rare effort to internalize congestion costs, London recently instituted charges for traveling by car to the central city during peak hours. Although the theoretical influence on the number and severity of traffic accidents is ambiguous, we show that the policy generated a substantial reduction in both accidents and fatalities in the charged area and hours. At the same time, the spatial, te...

This paper presents an analysis of the perceptions held by for-hire and private trucking company logistics and operations managers about the impacts of congestion on their operations and the feasibility and effectiveness of actual and potential congestion mitigation policies. Responses to an extensive survey of nearly 1200 California-based or large national carriers are examined using con®rmato...