Equilibrium properties of the morning peak-period commuting in a many-to-one mass transit system

2007 ◽  
Vol 41 (6) ◽  
pp. 616-631 ◽  
Author(s):  
Qiong Tian ◽  
Hai-Jun Huang ◽  
Hai Yang
Keyword(s):  
Mass Transit ◽  
Peak Period ◽  
Transit System ◽  
Morning Peak

scholarly journals Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System

2014 ◽  
Vol 2014 ◽  
pp. 1-16
Author(s):  
Qinmu Xie ◽  
Shoufeng Ma ◽  
Ning Jia ◽  
Yang Gao
Keyword(s):  
Traffic Congestion ◽  
Evolutionary Dynamics ◽  
Mass Transit ◽  
Urban Traffic ◽  
Peak Period ◽  
Transit System ◽  
Departure Time ◽  
Departure Time Choice ◽  
Multiagent Modeling ◽  
Formation And Evolution

With the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. To start with, we verified the model by comparison with traditional analytical methods. Then the formation process of departure time equilibrium is investigated additionally. Seeing the validity of the model, some initial assumptions were relaxed and two groups of experiments were carried out considering commuters’ heterogeneity and memory limitations. The results showed that heterogeneous commuters’ departure time distribution is broader and has a lower peak at equilibrium and different people behave in different pattern. When each commuter has a limited memory, some fluctuations exist in the evolutionary dynamics of the system, and hence an ideal equilibrium can hardly be reached. This research is helpful in acquiring a better understanding of commuter’s departure time choice and commuting equilibrium of the peak period; the approach also provides an effective way to explore the formation and evolution of complicated traffic phenomena.

MODEL DISTRIBUSI PERJALANAN PENDUDUK UNTUK PENENTUAN KORIDOR ‘LRT’ DI PULAU BATAM

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo
Keyword(s):  
Network Performance ◽  
Travel Demand ◽  
Mass Transit ◽  
Distribution Model ◽  
Economic Activities ◽  
Transit System ◽  
Trip Distribution ◽  
Home Interview ◽  
Interview Survey ◽  
Private Car

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).

scholarly journals SIL Implementation on Safety Functions in Mass Transit System

2018 ◽  
Vol 3 (3) ◽  
pp. 258-270
Author(s):  
James Li
Keyword(s):  
Mass Transit ◽  
Control Technology ◽  
Transit System ◽  
Safety Integrity Level ◽  
Iec 61508 ◽  
Safety Function ◽  
Defense Technology ◽  
The World ◽  
World Demand ◽  
En 50129

The concept of Safety Integrity Level (SIL) has been developed within different systems of standards (IEC 61508, EN50129 and DEF-STAN 00-56). These standards are applied in different areas: control technology (IEC 61508), railway technology (EN50128 and EN 50129), and defense technology (DEF-STAN-00-56). Nowadays, a lot of the mass transit turnkey projects around the world demand the contractors to follow CENELEC standards and SIL concept for the safety function implementation. Although the concept of SIL is mentioned in these standards, the interpretation of the concept of SIL in these standards is not consistent and unequivocal. This paper is written to elaborate the anomalies of SIL interpretation among these various standards in order for safety engineers to obtain a more detailed view on the concept of SIL over these standards.

Multiagent Learning-Based Approach to Transit Assignment Problem

2005 ◽  
Vol 1926 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Mohammed Wahba ◽  
Amer Shalaby
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Assignment Problem ◽  
System Performance ◽  
Transit Assignment ◽  
Peak Period ◽  
Transit System ◽  
Transit Network ◽  
Passenger Travel ◽  
Transit Routes

This paper presents an operational prototype of an innovative framework for the transit assignment problem, structured in a multiagent way and inspired by a learning-based approach. The proposed framework is based on representing passengers and their learning and decision-making activities explicitly. The underlying hypothesis is that individual passengers are expected to adjust their behavior (i.e., trip choices) according to their experience with transit system performance. A hypothetical transit network, which consists of 22 routes and 194 stops, has been developed within a microsimulation platform (Paramics). A population of 3,000 passengers was generated and synthesized to model the transit assignment process in the morning peak period. Using reinforcement learning to represent passengers’ adaptation and accounting for differences in passengers’ preferences and the dynamics of the transit network, the prototype has demonstrated that the proposed approach can simultaneously predict how passengers will choose their routes and estimate the total passenger travel cost in a congested network as well as loads on different transit routes.

Use of Performance Measurement System Data to Diagnose Freeway Bottleneck Locations Empirically in Orange County, California

2005 ◽  
Vol 1925 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Robert L. Bertini ◽  
Aaron M. Myton
Keyword(s):  
Performance Measurement ◽  
Measurement System ◽  
Orange County ◽  
Sensor Data ◽  
Performance Measurement System ◽  
Clear Understanding ◽  
Time And Space ◽  
Peak Period ◽  
Traffic Conditions ◽  
Morning Peak

To improve freeway modeling and operations, it is important to understand how traffic conditions evolve in both time and space. The widespread availability of freeway sensor data makes detailed operational analysis possible in ways that were not available in the past. This study, inspired by several other studies of a 6-mi segment of Interstate 405 in Orange County, California, describes the evolution of traffic conditions over one morning peak period by using inductive loop detector data, including vehicle count and lane occupancy measured at 30-s intervals. With cumulative curves of vehicle count and occupancy, transformed in ways that enhanced their resolution, 10 bottleneck activations were identified in time and space over one morning peak period. At bottleneck activation, queue propagation was observed in generally predictable ways. Bottleneck outflows were carefully measured only while the bottlenecks were active, that is, while queued conditions persisted upstream and unqueued (freely flowing) conditions prevailed downstream. When bottlenecks were activated immediately following freely flowing conditions, outflow reductions were observed at queue formation. These reductions were consistent with those in previous studies. The study was limited in that only one day's data were analyzed and ramp data were not available on the day analyzed. Future research will include further analysis of the same site by using more recent data now that ramp counts are available in the California Performance Measurement System database. Understanding the mechanisms that lead to bottleneck activation is a critical step toward improving the understanding of how freeways function and is necessary for addressing operational issues. This clear understanding provides a foundation for determining ramp metering rates and addressing the freeway characteristics that cause bottlenecks to form.

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