scholarly journals Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xiao Guo ◽  
Huijun Sun
Keyword(s):  
Travel Behavior ◽  
Travel Choice ◽  
Numerical Examples ◽  
Bottleneck Model ◽  
Model Based ◽  
Work Area ◽  
Departure Time ◽  
Departure Time Choice ◽  
Morning Commute ◽  
Living Area

This paper studies the travel behavior of travelers who drive from the living area through the highway to the work area during the morning rush hours. The bottleneck model based on personal perception travel behavior has been investigated. Based on their willingness to arrive early, travelers can be divided into two categories: active travelers and negative travelers. Three possible situations have been considered based on travelers’ personal perception. Travelers’ travel choice behaviors are analyzed in detail and equilibrium is achieved with these three situations. The numerical examples show that the departure time choice of the travelers is related not only to the proportion of each type of travelers, but also to personal perceived size.

scholarly journals A Departure Time Choice for Morning Commute Considering Train Capacity of a Rail Transit Line

2013 ◽  
Vol 5 ◽  
pp. 582703 ◽  
Author(s):  
Jia Feng ◽  
Baohua Mao ◽  
Zhijie Chen ◽  
Yun Bai ◽  
Minggao Li
Keyword(s):  
Rail Transit ◽  
Departure Time ◽  
Departure Time Choice ◽  
Morning Commute

Optimal Toll Design Problem in Dynamic Traffic Networks with Joint Route and Departure Time Choice

2005 ◽  
Vol 1923 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Dusica Joksimovic ◽  
Michiel C. J. Bliemer ◽  
Piet H. L. Bovy
Keyword(s):  
Travel Behavior ◽  
Dynamic Pricing ◽  
Design Problem ◽  
Road Pricing ◽  
Control Measures ◽  
Time Varying ◽  
Dynamic Traffic ◽  
The Road ◽  
Departure Time ◽  
Departure Time Choice

Road pricing is one of the market-based traffic control measures that can influence travel behavior to alleviate congestion on roads. This paper addresses the effects of uniform (constant, fixed) and time-varying (step) tolls on the travel behavior of users on the road network. The problem of determining optimal prices in a dynamic traffic network is considered by applying second-best tolling scenarios imposing tolls only to a subset of links on the network and considering elastic demand. The optimal toll design problem is formulated as a bilevel optimization problem with the road authority (on the upper level) setting the tolls and the travelers (on the lower level) who respond by changing their travel decisions (route and departure time choice). To formulate the optimal toll design problem, the so-called mathematical program with equilibrium constraints (MPEC) formulation was used, considering the dynamic nature of traffic flows on the one hand and dynamic pricing on the other. Until now, the MPEC formulation has been applied in static cases only. The model structure comprises three interrelated levels: (a) dynamic network loading, (b) route choice and departure time choice, and (c) road pricing level. For solving the optimal toll design problem in dynamic networks, a simple search algorithm is used to determine the optimal toll pattern leading to optimization of the objective function of the road authority subject to dynamic traffic assignment constraints. Nevertheless, uniform and time-varying pricing is analyzed, and a small hypothetical network is considered.

Departure Time Choice Equilibrium and Tolling Strategies for a Bottleneck with Stochastic Capacity

2021 ◽  
Author(s):  
Jiancheng Long ◽  
Hai Yang ◽  
W. Y. Szeto
Keyword(s):  
User Equilibrium ◽  
Single Step ◽  
Numerical Results ◽  
General Distribution ◽  
Time Varying ◽  
Bottleneck Model ◽  
Schedule Delay ◽  
Departure Time ◽  
Stochastic Capacity ◽  
Departure Time Choice

This paper develops a bottleneck model in which the capacity of the bottleneck is assumed to be stochastic and follow a general distribution that has a positive upper bound. The user equilibrium principle in terms of mean trip cost is adopted to formulate commuters’ departure time choice in the stochastic bottleneck. We find that there exist five possible equilibrium departure patterns, which depend on both commuters’ unit costs of travel time, schedule delay early and late, and the uncertainty of the stochastic capacity of the bottleneck. All possible equilibrium departure patterns are analytically derived. Both the analytical and numerical results show that increasing the uncertainty of the capacity of the bottleneck leads to an increase of commuters’ individual mean trip cost. In addition, both a time-varying toll scheme and a single-step coarse toll scheme are designed within the proposed stochastic bottleneck model. We provide an analytical method to determine the detailed toll-charging schemes for both toll strategies. The numerical results show that the proposed toll schemes can indeed improve the efficiency of the stochastic bottleneck in terms of decreasing mean total social cost, and the time-varying toll scheme is more efficient than the single-step coarse toll scheme. However, as the uncertainty of the capacity of the bottleneck increases, the efficiency of the time-varying toll scheme decreases, whereas the efficiency of the single-step coarse toll scheme fluctuates slightly.

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 Day-to-day departure time choice under bounded rationality in the bottleneck model

2017 ◽  
Vol 23 ◽  
pp. 551-570 ◽  
Author(s):  
Ren-Yong Guo ◽  
Hai Yang ◽  
Hai-Jun Huang ◽  
Xinwei Li
Keyword(s):  
Bounded Rationality ◽  
Bottleneck Model ◽  
Departure Time ◽  
Departure Time Choice
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