A Multi-Modal Route Choice Model with Ridesharing and Public Transit

With the extensive use of smart-phone applications and online payment systems, more travelers choose to participate in ridesharing activities. In this paper, a multi-modal route choice model is proposed by incorporating ridesharing and public transit in a single-origin-destination (OD)-pair network. Due to the presence of ridesharing, travelers not only choose routes (including main road and side road), but also decide travel modes (including solo driver, ridesharing driver, ridesharing passenger, and transit passenger) to minimize travelers’ generalized travel cost (not their actual travel cost due to the existence of car capacity constraints). The proposed model is expressed as an equivalent complementarity problem. Finally, the impacts of key factors on ridesharing behavior in numerical examples are discussed. The equilibrium results show that passengers’ rewards and toll charge of solo drivers on main road significantly affect the travelers’ route and mode choice behavior, and an increase of passengers’ rewards (toll) motivates (forces) more travelers to take environmentally friendly travel modes.

Download Full-text

Modelling the Effects of Parking Charge and Supply Policy Using System Dynamics Method

Journal of Advanced Transportation ◽

10.1155/2017/6463586 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 6

Author(s):

Zhenyu Mei ◽

Qifeng Lou ◽

Wei Zhang ◽

Lihui Zhang ◽

Fei Shi

Keyword(s):

System Dynamics ◽

Choice Model ◽

Evaluation Model ◽

Travel Cost ◽

Travel Mode ◽

Travel Choice ◽

Supply Policy ◽

Proposed Model ◽

Traffic Speed ◽

Business District

Reasonable parking charge and supply policy are essential for the regular operation of the traffic in city center. This paper develops an evaluation model for parking policies using system dynamics. A quantitative study is conducted to examine the effects of parking charge and supply policy on traffic speed. The model, which is composed of three interrelated subsystems, first summarizes the travel cost of each travel mode and then calibrates the travel choice model through the travel mode subsystem. Finally, the subsystem that evaluates the state of traffic forecasts future car speed based on bureau of public roads (BPR) function and generates new travel cost until the entire model reaches a steady state. The accuracy of the model is verified in Hangzhou Wulin business district. The related error of predicted speed is only 2.2%. The results indicate that the regular pattern of traffic speed and parking charge can be illustrated using the proposed model based on system dynamics, and the model infers that reducing the parking supply in core area will increase its congestion level and, under certain parking supply conditions, there exists an interval of possible pricing at which the service reaches a level that is fairly stable.

Download Full-text

Effect of Height on Pedestrian Route Choice between Stairs and Escalator

Discrete Dynamics in Nature and Society ◽

10.1155/2014/965305 ◽

2014 ◽

Vol 2014 ◽

pp. 1-6 ◽

Cited By ~ 3

Author(s):

Qian Li ◽

Changxu Ji ◽

Limin Jia ◽

Yong Qin

Keyword(s):

Choice Behavior ◽

Choice Model ◽

Route Choice ◽

Interesting Phenomenon ◽

Selection Probability ◽

Route Choice Behavior ◽

Average Accuracy ◽

Proposed Model ◽

Transfer Stations ◽

Alternative Choice

In order to overcome the subjectivity of existing pedestrian route choice models, an alternative choice model is presented based on the utility equation. It is composed of several indirectly objective characteristic variables, including the height, length, and width of interlayer facilities; speed of automated facilities; and carry-on luggage. Considering the scene that pedestrians choose between the stairs or escalators, an extended binary logit model is developed. Calibration and validation of the model are accomplished by using the data collected in four typical passenger transfer stations in Beijing, China. The results show that the proposed model has an average accuracy of 86.56% in bidirection for predicting pedestrians’ behavior. An interesting phenomenon can be found that the length of facility has poorer impact than height on pedestrians’ route choice behavior. Some quantitative and irradiative conclusions have been illustrated on the relationship between the selection probability and the variables, which is expected to be valuable for extracting the implicit theoretical mechanism of passenger choice behavior.

Download Full-text

Route Choice Model Based on Game Theory for Commuters

PROMET - Traffic&Transportation ◽

10.7307/ptt.v28i3.1727 ◽

2016 ◽

Vol 28 (3) ◽

pp. 195-203 ◽

Cited By ~ 3

Author(s):

Licai Yang ◽

Yunfeng Shi ◽

Shenxue Hao ◽

Lei Wu

Keyword(s):

Game Theory ◽

Traffic Congestion ◽

Choice Model ◽

Route Choice ◽

Expected Utility Theory ◽

Traffic Information ◽

Actual Situation ◽

Traffic Condition ◽

Model Based ◽

Proposed Model

The traffic behaviours of commuters may cause traffic congestion during peak hours. Advanced Traffic Information System can provide dynamic information to travellers. Due to the lack of timeliness and comprehensiveness, the provided information cannot satisfy the travellers’ needs. Since the assumptions of traditional route choice model based on Expected Utility Theory conflict with the actual situation, a route choice model based on Game Theory is proposed to provide reliable route choice to commuters in actual situation in this paper. The proposed model treats the alternative routes as game players and utilizes the precision of predicted information and familiarity of traffic condition to build a game. The optimal route can be generated considering Nash Equilibrium by solving the route choice game. Simulations and experimental analysis show that the proposed model can describe the commuters’ routine route choice decisionexactly and the provided route is reliable.

Download Full-text

Route Choice Model Considering Generalized Travel Cost Based on Game Theory

Mathematical Problems in Engineering ◽

10.1155/2013/464038 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 4

Author(s):

Feng Yu-qin ◽

Leng Jun-qiang ◽

Xie Zhong-Yu ◽

Zhang Gui-e ◽

He Yi

Keyword(s):

Game Theory ◽

Travel Time ◽

Road Network ◽

Choice Model ◽

Route Choice ◽

Weight Coefficient ◽

Travel Cost ◽

Emission Factors ◽

Relational Model ◽

The Cost

This paper aims at testing the influence of emission factors on travelers’ behavior of route choice. The generalized travel cost is defined as the linear weighted sum of emission factors, travel time, and travel time reliability. The relational model of exhaust volume and traffic volume is established using the BPR (Bureau of Public Road) function to calculate the cost of travel regarding emission. The BPR function is used to measure the road segment travel time, while the reliability is used to quantify the cost of travel time fluctuation. At last, the route choice model considering the generalized travel cost is established based on the game theory. The calculating and analyzing of results under a miniature road network show that the weight coefficient of travel cost influences the travelers’ behavior of route choice remarkably and the route choice model which takes emission into account can reduce the exhaust of road network effectively, approximately 11.4% in this case.

Download Full-text

Modeling Stochastic Route Choice Behaviors with Equivalent Impedance

Mathematical Problems in Engineering ◽

10.1155/2015/313249 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10

Author(s):

Jun Li ◽

Yulin Huang ◽

Xinjun Lai

Keyword(s):

Large Scale ◽

Choice Model ◽

Route Choice ◽

Multinomial Logit Model ◽

Closed Form Expression ◽

Travel Costs ◽

Scale Parameters ◽

Equivalent Impedance ◽

Proposed Model ◽

Large Scale Networks

A Logit-based route choice model is proposed to address the overlapping and scaling problems in the traditional multinomial Logit model. The nonoverlapping links are defined as a subnetwork, and its equivalent impedance is explicitly calculated in order to simply network analyzing. The overlapping links are repeatedly merged into subnetworks with Logit-based equivalent travel costs. The choice set at each intersection comprises only the virtual equivalent route without overlapping. In order to capture heterogeneity in perception errors of different sizes of networks, different scale parameters are assigned to subnetworks and they are linked to the topological relationships to avoid estimation burden. The proposed model provides an alternative method to model the stochastic route choice behaviors without the overlapping and scaling problems, and it still maintains the simple and closed-form expression from the MNL model. A link-based loading algorithm based on Dial’s algorithm is proposed to obviate route enumeration and it is suitable to be applied on large-scale networks. Finally a comparison between the proposed model and other route choice models is given by numerical examples.

Download Full-text

New Key Factors Discovery to Enhance Dengue Fever Forecasting Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.931-932.1457 ◽

2014 ◽

Vol 931-932 ◽

pp. 1457-1461 ◽

Cited By ~ 1

Author(s):

Phatsavee Ongruk ◽

Padet Siriyasatien ◽

Kraisak Kesorn

Keyword(s):

Wind Speed ◽

Dengue Fever ◽

Forecast Model ◽

Key Factors ◽

Dengue Virus Infection ◽

Conventional Model ◽

Forecasting Error ◽

Proposed Model ◽

Basic Set ◽

Almost All

There are several factors that can be used to predict a dengue fever outbreak. Almost all existing research approaches, however, usually exploit the use of a basic set of core attributes to forecast an outbreak, e.g. temperature, humidity, wind speed, and rainfall. In contrast, this research identifies new attributes to improve the prediction accuracy of the outbreak. The experimental results are analyzed using a correlation analysis and demonstrate that the density of dengue virus infection rate in female mosquitoes and seasons have strong correlation with a dengue fever outbreak. In addition, the research constructs a forecast model using Poisson regression analysis. The result shows the proposed model obtains significantly low forecasting error rate when compared it against the conventional model using only temperature, humidity, wind speed, and rainfall parameters.

Download Full-text