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.

scholarly journals Departure Time Choice (DTC) Behavior for Intercity Travel during a Long-Holiday in Bangkok, Thailand

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Bhawat Chaichannawatik ◽  
Kunnawee Kanitpong ◽  
Thirayoot Limanond
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Travel Demand ◽  
Multinomial Logit Model ◽  
Time Of Day ◽  
Travel Patterns ◽  
Peak Period ◽  
Intercity Travel ◽  
Departure Time ◽  
Departure Time Choice

Time-of-day (TOD) or departure time choice (DTC) has become an interesting issue over two decades. Many researches have intensely focused on time-of-day or departure time choice study, especially workday departures. However, the travel behavior during long-holiday/intercity travel has received relatively little attention in previous studies. This paper shows the characteristics of long-holiday intercity travel patterns based on 2012 New Year data collected in Thailand with a specific focus on departure time choice of car commuters due to traffic congestion occurring during the beginning of festivals. 590 interview data were analyzed to provide more understanding of general characteristics of DTC behavior for intercity travel at the beginning of a Bangkok long-holiday. Moreover, the Multinomial Logit Model (MNL) was used to find the car-based DTC model. The results showed that travelers tend to travel at the peak period when the parameters of personal and household are not so significant, in contrast to the trip-related characteristics and holiday variables that play important roles in traveler decision on departure time choice. Finally, some policies to distribute travel demand and reduce the repeatable traffic congestion at the beginning of festivals are recommended.

scholarly journals The impact of bus priority policies on peak commuters behavior: An agent-based modelling perspective

Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 4101-4110
Author(s):  
Shuai Ling ◽  
Wandi Hu ◽  
Yongjie Zhang
Keyword(s):  
Public Transportation ◽  
Simulation Method ◽  
Bus Priority ◽  
Peak Period ◽  
Transit System ◽  
Departure Time ◽  
Urban Public Transport ◽  
Departure Time Choice ◽  
The Right ◽  
The Impact

By using micro-simulation method and the BushCMosteller reinforcement learning model, this paper modeled the behavior of urban commuters departure time choice on a many-to-one transit system during the morning peak-period. Three kinds of typical urban public transport priority policies were studied. Result shows that if we can choose the right time for free public transportation, the pre-peak-free policy will have certain effects on staggering the commuting peak by influencing commuters decision making on departure-time. As for the bus-accelerating policy, it can lower commuters cost, but it is likely to cause more congested volume and add more pressure on the public transit system. The departure frequency increasing policy can partially alleviate the peak congestion problem, but cannot fundamentally eliminate the congestion, instead, it may increase the operating costs. This research is helpful in acquiring a better understanding of commuters departure time choice and commuting equilibrium during the peak period. The research approaches also provide an effective way to explore the formation and evolution of complicated traffic phenomena.

The Mexico City Metro and Its Riders

2018 ◽  
Author(s):  
Amanda M. López
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Mass Transit ◽  
Transit System ◽  
Architectural Elements ◽  
Cultural Life ◽  
The Status ◽  
Private Car ◽  
Political Economic ◽  
The City

Mexico City’s subway, commonly known as “el Metro,” opened its first line of service on September 4, 1969. Since then, the mass transit system, operated by the Sistema de Transporte Colectivo (STC), has expanded to include 195 stations across twelve lines that serve an estimated five and a half million riders per day. The metro was constructed not only to alleviate severe traffic congestion in the city’s center due to population growth and private car use, but also it was envisioned as part of a plan to modernize the city and raise Mexico to the status of world cities such as Paris and Montreal. The low fare has made it one of the primary modes of transportation for the city’s working class, who use it in combination with other forms of public transportation to reach jobs in distant parts of the metropolis. Some studies have shown that the Metro has exacerbated geographic segregation between rich and poor as well as perpetuated low wages. Beyond its function as a mass transit system, the Metro was envisioned as and still serves as an important cultural space. The graphic designers and architects who led the project integrated modern architectural elements with graphic embellishments and signage that incorporated national culture and history to present a modernity uniquely Mexican. In its almost fifty years of service, the Metro has become an important symbol of the capital’s cultural life that everyday Mexicans have used for their own political, economic, and cultural purposes.

scholarly journals Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays

2020 ◽  
Vol 12 (24) ◽  
pp. 10470
Author(s):  
Haiyan Zhu ◽  
Hongzhi Guan ◽  
Yan Han ◽  
Wanying Li
Keyword(s):  
Traffic Congestion ◽  
Choice Behavior ◽  
Road Traffic ◽  
Stated Preference ◽  
Revealed Preference ◽  
The Road ◽  
Departure Time ◽  
Departure Time Choice ◽  
Mnl Model ◽  
Peak Travel

The adjustment of road toll is an important measure that can alleviate road traffic congestion by convincing car travelers to travel during off-peak times. In order to reduce congestion on the expressway on the first day of a holiday, factors that affect the departure times of holiday travelers must be comprehensively understood to determine the best strategy to persuade car travelers to avoid peak travel times. This paper takes holiday car travelers as the research object and explores the characteristics and rules of departure time choice behavior for different holiday lengths. Based on Utility Maximization Theory, a multinomial logit (MNL) model of departure time choice for a three-day short holiday and a seven-day long holiday was established. Model calibration and elastic analysis were carried out using Revealed Preference/Stated Preference (RP/SP) survey data. Additionally, the influence of the highway toll policy on departure times for long and short holidays was analyzed. The results show that the rate of first-day departures is much higher than that of other departure times for both short and long vacations under the current policy of free holiday passage on highways. Factors such as trip duration, size of the tourist group, the number of visits, travel range, travel time, monthly income, occupation, age and road toll have a significant influence on the departure time decisions of holiday car travelers, and the effect and degree of influence are markedly different for different holiday lengths. The effects of tolls for each departure time and different pricing scenarios on the choice behavior of travelers are different between long and short holidays. Furthermore, the effectiveness of the road toll policy also varies for travelers with different travel distances. This study can provide useful information for the guidance of holiday travelers, the management of holiday tolls on expressways and the formulation of holiday leave time.

scholarly journals Modeling Departure Time Choice of Car Commuters in Dhaka, Bangladesh

2021 ◽  
pp. 036119812110398
Author(s):  
Khatun Zannat ◽  
Charisma Farheen Choudhury ◽  
Stephane Hess
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Data Sources ◽  
Similar Data ◽  
Schedule Delay ◽  
Departure Time ◽  
Departure Time Choice

Dhaka, one of the fastest-growing megacities in the world, faces severe traffic congestion leading to a loss of 3.2 million business hours per day. While peak-spreading policies hold the promise to reduce the traffic congestion levels, the absence of comprehensive data sources makes it extremely challenging to develop econometric models of departure time choices for Dhaka. This motivates this paper, which develops advanced discrete choice models of departure time choice of car commuters using secondary data sources and quantifies how level-of-service attributes (e.g., travel time), socio-demographic characteristics (e.g., type of job, income, etc.), and situational constraints (e.g., schedule delay) affect their choices. The trip diary data of commuters making home-to-work and work-to-home trips by personal car/ride-hailing services (957 and 934 respectively) have been used in this regard. Given the discrepancy between the stated travel times and those extracted using the Google Directions API, a sub-model is developed first to derive more reliable estimates of travel time throughout the day. A mixed multinomial logit model and a simple multinomial logit model are developed for outbound and return trip, respectively, to capture the heterogeneity associated with different departure time choice of car commuters. Estimation results indicate that the choices are significantly affected by travel time, schedule delay, and socio-demographic factors. The influence of type of job on preferred departure time (PDT) has been estimated using two different distributions of PDT for office employees and self-employed people (Johnson’s SB distribution and truncated normal respectively). The proposed framework could be useful in other developing countries with similar data issues.

Departure and travel time model for the temporal distribution of morning rush-hour traffic congestion

2019 ◽  
Vol 31 (02) ◽  
pp. 2050023
Author(s):  
Sida Luo
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Temporal Distribution ◽  
Time Estimation ◽  
Wave Model ◽  
Model Parameters ◽  
Travel Time Estimation ◽  
Time Model ◽  
Departure Time ◽  
Departure Time Choice

The chronic traffic congestion undermines the level of satisfaction within a society. This study proposes a departure time model for estimating the temporal distribution of morning rush-hour traffic congestion over urban road networks. The departure time model is developed based on the point queue model that is used for estimating travel time. First, we prove the effectiveness of the travel time model (i.e. point queue), showing that it gives the same travel time estimation as the kinematic wave model does for a road with successive bottlenecks. Then, a variant of the bottleneck model is developed accordingly, aiming to capture travelers’ departure time choice for commute trips. The proposed departure time model relaxes a traditional assumption that the last commuter experiences the free flow travel time and considers travelers’ unwillingness of late arrivals for work. Numerical experiments show that the morning rush-hour generally starts at 7:29 am and ends at 8:46 am with a traffic congestion delay index (TCDI) of 2.164 for Beijing, China. Furthermore, the estimation of rush-hour start and end time is insensitive to most model parameters including the proportion of travelers who tend to arrive at work earlier than their schedules.

scholarly journals Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Yingxin Liu ◽  
Xinggang Luo ◽  
Shengping Cheng ◽  
Yang Yu ◽  
Jiafu Tang
Keyword(s):  
Waiting Time ◽  
Traffic Congestion ◽  
Rational Solution ◽  
Urban Traffic ◽  
Joint Optimization ◽  
Passenger Flow ◽  
Bus Scheduling ◽  
Departure Time ◽  
Speed Group ◽  
Multiple Routes

Dynamic bus scheduling is a rational solution to the urban traffic congestion problem. Most previous studies have considered a single bus line, and research on multiple bus lines remains limited. Departure schedules have been typically planned by making separate decisions regarding departure times. In this study, a joint optimization model of the bus departure time and speed scheduling is constructed for multiple routes, and a coevolutionary algorithm (CEA) is developed with the objective function of minimizing the total waiting time of passengers. Six bus lines are selected in Shenyang, with several transfer stations between them, as a typical case. Experiments are then conducted for high-, medium-, and low-intensity case of smooth, increasing and decreasing passenger flow. The results indicate that combining the scheduling departure time and speed produces better performances than when using only scheduling departure time. The total passengers waiting time of the genetic algorithm (GA) group was reduced by approximately 25%–30% when compared to the fixed speed group. The total passengers waiting time of the CEA group can be reduced by approximately 17%–24% when compared to that in the GA group, which also holds true for a multisegment convex passenger flow. The feasibility and efficiency of the constructed algorithm were demonstrated experimentally.

scholarly journals Problems and Countermeasures of Urban Rail Transit Construction in China

2020 ◽  
Vol 6 (2) ◽  
pp. 30
Author(s):  
Jingzhi Guo
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Planning ◽  
Transit System ◽  
Financing Mode ◽  
Urban Rail ◽  
Investment And Financing

In the 21st century, the over dependence on cars in China’s urban development has led to a series of problems, which have seriously affected the development of contemporary cities. The problem of communication has become the bottleneck of the development of many cities in China. Therefore, the rise of urban rail transit is an inevitable trend. The construction and development of rail transit is an effective way to solve urban diseases, such as traffic congestion, traffic pollution, poor green travel environment and difficult parking. In the period of great development opportunity of rail transit, it is necessary to discuss how to scientifically plan urban rail transit system, promote urban intensive development and improve urban traffic conditions. Combined with the current situation of rapid development of urban rail transit in China, this article analyzes the main problems existing in the development of urban rail transit at present, and puts forward the guiding ideology and main countermeasures for the development of urban rail transit in the future: do what you can and develop steadily to effectively avoid the hidden dangers brought about by blind development; further strengthen the scientific nature of urban rail transit planning and maintain the seriousness of planning; further improve the investment and financing mode of urban rail transit. Some suggestions are also put forward for the key problems to be solved in the near future.

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