Models for Predicting Bus Delays

1998 ◽  
Vol 1623 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Ali M. Abdelfattah ◽  
Ata M. Khan
Keyword(s):  
Arrival Time ◽  
Field Studies ◽  
Traffic Operations ◽  
Control Center ◽  
Transit Service ◽  
Traffic Conditions ◽  
Bus Travel Time ◽  
Real Time Information ◽  
Time Information ◽  
Tracking Technology

The provision of accurate bus arrival time information to users is essential for improving the attractiveness of public transit service. Although bus-tracking technology provides real-time information to the control center about the location of a bus, there is a need to improve the prediction of bus travel time downstream from location of last observation in mixed traffic operations. Methods are required for making predictions in normal traffic conditions, as well as in conditions in which a temporary lane closure is experienced due to a variety of reasons, such as incidents and road improvement activities. The development of models for the estimation of the effect of changes in traffic and lane closures on bus performance is described. A microsimulation approach was used, supplemented by field studies. The models developed meet calibration tests and were verified by field data.

Parking Guidance Control System Based on Internet of Things

2013 ◽  
Vol 273 ◽  
pp. 641-645 ◽  
Author(s):  
Rong Chun Sun ◽  
Yan Piao ◽  
Yu Wang ◽  
Han Wang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
Guidance Control ◽  
Control Center ◽  
The Real ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

To help drivers to quickly find a spare parking, a parking guidance control system was proposed. The principle of ultrasonic ranging was used to detect the state of a parking space, and through the internet of things the parking detector transmits the real-time information to the control center. The control center mainly is an industrial computer and is responsible for dealing with the real-time information and sending the control command by internet of things. The guidance signs at each crossroad receive the wireless commands and execute them, by which the guidance function is performed. The internet of things was realized by ZigBee star network, in which the control center is a coordinator and other parts are routers or terminal equipments. The simulation experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.

The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area

2015 ◽  
pp. 174-191
Author(s):  
Athena Tsirimpa ◽  
Amalia Polydoropoulou
Keyword(s):  
Information Acquisition ◽  
Latent Variable ◽  
Traffic Information ◽  
Activity Scheduling ◽  
Variable Model ◽  
Travel Information ◽  
Traffic Conditions ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

Study of Solution Approach for Dynamic Vehicle Routing Problems with Real-Time Information

2003 ◽  
Vol 1857 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Ta-Yin Hu ◽  
Tsai-Yun Liao ◽  
Ying-Chih Lu
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Information Technologies ◽  
Vehicle Routing Problems ◽  
Dynamic Vehicle Routing ◽  
Routing Problems ◽  
Solution Approach ◽  
Traffic Conditions ◽  
Real Time Information ◽  
Time Information

Recent advances in commercial vehicle operations (CVO), especially in communication and information technologies, allow the study of dynamic vehicle routing problems under new and updated information, such as traffic conditions and new customers. Two major operational benefits of CVO include ( a) dynamically assigning vehicles to time-sensitive demands, and ( b) efficiently rerouting vehicles according to current traffic conditions. In this research, stochastic vehicle routing problems (SVRP) are considered and extended to incorporate real-time information for dynamic vehicle routing problems. The SVRP model is formulated by a chance-constrained model and is solved by CPLEX with branch-and-bound techniques. Numerical experiments are conducted in a Taichung city network to investigate dynamic vehicle routing strategies under real-time information supply strategies and to assess the effectiveness of such strategies in a dynamic perspective.

scholarly journals A Resource-Friendly Authentication Protocol for UAV-Based Massive Crowd Management Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Bander A. Alzahrani ◽  
Ahmed Barnawi ◽  
Shehzad Ashraf Chaudhry
Keyword(s):  
Decision Makers ◽  
Privacy And Security ◽  
Control Center ◽  
Crowd Management ◽  
Performance Requirements ◽  
Symmetric Key ◽  
Lightweight Authentication ◽  
Real Time Information ◽  
Time Information

As a part of the smart city revolution, crowd management is an emerging trend and it can enhance the quality of life. Unmanned ariel vehicles (UAVs) can help in making the crowd management process more efficient and more accurate. UAVs can monitor and collect environmental-related surveillance data and share real-time information with each other and with the decision makers. However, the battery-operated UAVs communicate over the open public channel making the privacy and security of the UAVs a crucial element in mission-critical applications. The weaknesses of the existing scheme pave the way to design a new lightweight authentication scheme for UAV environments. In this article, we present a symmetric key primitive-based scheme and provide authentication among a user and a UAV through an intermediate control center. Due to usage of symmetric key and elliptic curve cryptography, the proposed scheme fulfils the performance requirements of the UAVs. The security of the proposed scheme is substantiated through BAN logic, along with a discussion on security features extended by the proposed scheme. The performance and security comparisons show that the proposed scheme provides adequate security and efficiency and can be practically deployed in real UAV environments.

The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area

2014 ◽  
Vol 5 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Athena Tsirimpa ◽  
Amalia Polydoropoulou
Keyword(s):  
Information Acquisition ◽  
Latent Variable ◽  
Traffic Information ◽  
Activity Scheduling ◽  
Variable Model ◽  
Travel Information ◽  
Traffic Conditions ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

An Approach on Bus Temporal Character Calculation Based on Real-Time Information Processing

2011 ◽  
Vol 268-270 ◽  
pp. 2196-2200
Author(s):  
Shao Hui Chen ◽  
Yan Yan Chen
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Prediction Error ◽  
Arrival Time ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Gps Data ◽  
Kalman Filter Algorithm ◽  
Real Time Information ◽  
Time Information

The article studies the methods of processing bus real-time information (GPS data) and calculating the temporal indexes for decision making in bus dispatching. The kalman filter algorithm is used to predict the bus arrival time. The result shows the prediction error is within 1.3 minutes and the precision is 71% by calculating the real-time information of Beijing bus intelligent transportation system.

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