GIS-based dynamic traffic congestion modeling to support time-critical logistics

Author(s):  
H.J. Miller ◽  
Yi-Hwa Wu ◽  
Ming-Chih Hung
2006 ◽  
Vol 76 (5) ◽  
pp. 787-793 ◽  
Author(s):  
J. J Wu ◽  
Z. Y Gao ◽  
H. J Sun

Author(s):  
Rongsheng Chen ◽  
Michael W. Levin

Mobility-on-demand (MoD) services are provided by multiple competing companies. In their competition for travelers, they need to provide minimum travel costs, or travelers will switch to competitors. This study developed a dynamic traffic assignment of MoD systems. A static traffic assignment (STA) model is first defined. When demand is asymmetric, empty rebalancing trips are required to move vehicles to traveler origins, and the optimal rebalancing flows are found by a linear program. Because of the time-dependent nature of traveler demand, the model was converted to dynamic traffic assignment (DTA). The method of successive averages, which is provably convergent for STA, was used to find dynamic user equilibrium (DUE). The simulation was conducted on two networks. The MoD system was simulated with different fleet sizes and demands. The results showed that the average total delay and travel distance decreased with the increase in fleet size whereas the average on-road travel time increased with the fleet size. The result of traffic assignment of one network with MoD system was compared with a network where all travelers use private vehicles. The results showed that the network with MoD system created more trips but less traffic congestion.


Author(s):  
Kip E. Johnson ◽  
James K. Kuchar ◽  
Charles M. Oman

An experimental study was performed to evaluate several types of automation for time-pressured replanning tasks. Subjects modified a two-dimensional route using waypoint manipulation on a computer screen in response to a sudden change in the displayed environment while having access to one of four types of automation. In addition to a baseline case without automation, subjects received automated assistance that either reduced hazard exposure, ensured meeting time-to-target and fuel constraints, or combined hazard avoidance with time and fuel constraints. Time pressure was imposed by requiring the route to be replanned within four different time limits of less than one minute. Results show that the benefit of automation decreased as time pressure was relaxed. Subjects showed reticence to deviate from highly automated route suggestions even when significant improvements were still possible. In addition, partial automation induced more errors than in cases with no automation, highlighting the potential negative effects of introducing automation.


2012 ◽  
Vol 22 (01) ◽  
pp. 1250001 ◽  
Author(s):  
SHASHI PHOHA ◽  
GOUTHAM MALLAPRAGADA ◽  
YICHENG WEN ◽  
DOINA BEIN ◽  
ASOK RAY

Sensor networks that can support time-critical operations pose challenging problems for tracking events of interest. We propose an architecture for a sensor network that autonomously adapts in real-time to data fusion requirements so as not to miss events of interest and provides accurate real-time mobile target tracking. In the proposed architecture, the sensed data is processed in an abstract space called Information Space and the communication between nodes is modeled as an abstract space called Network Design Space. The two abstract spaces are connected through an interaction interface called InfoNet, that seamlessly translates the messages between the two. The proposed architecture is validated experimentally on a laboratory testbed for multiple scenarios.


2020 ◽  
pp. 100311
Author(s):  
M.S. Roopa ◽  
S. Ayesha Siddiq ◽  
Rajkumar Buyya ◽  
K.R. Venugopal ◽  
S.S. Iyengar ◽  
...  

2020 ◽  
Vol 16 ◽  

The article focuses on the issue of congested roads in cities. The problems of heavy traffic both large and smaller towns. Some towns in the Czech Republic do not have built bypasses and so there is a heavy traffic congestion at favorite times. Road transport has become one of the most popular forms of transport. This trend is unlikely to change in the near future. The current market offers dynamic traffic management but not with the appropriate effect. Our proposed method belongs to dynamic traffic control based on real traffic control. The proposed method works in real time with the light signaling device behind the monitoring sections. The function of the proposed method is to extend the free passage of the light-signaling device.


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